2024
Luna-Ramírez, Wulfrano-Arturo; León, Christian Lemaître; Pena-Rios, Anasol; Camacho, Enrique Genaro Gallegos; Ramírez, Camilo Becerril; Fragoso, Karina Gutiérrez; Hernández, Elías Ruíz
Inteligencia Artificial y Problemas Sociales Book
División de Ciencias de la Comunicación y Diseño, Universidad Autónoma Metropolitana, 2024, ISBN: 9786072831827.
Abstract | Links | BibTeX | Altmetric
@book{nokey,
title = {Inteligencia Artificial y Problemas Sociales},
author = {Wulfrano-Arturo Luna-Ram\'{i}rez and Christian Lema\^{i}tre Le\'{o}n and Anasol Pena-Rios and Enrique Genaro Gallegos Camacho and Camilo Becerril Ram\'{i}rez and Karina Guti\'{e}rrez Fragoso and El\'{i}as Ru\'{i}z Hern\'{a}ndez},
editor = {Wulfrano-Arturo Luna-Ram\'{i}rez},
doi = {10.24275/9786072831827},
isbn = {9786072831827},
year = {2024},
date = {2024-08-30},
publisher = {Divisi\'{o}n de Ciencias de la Comunicaci\'{o}n y Dise\~{n}o, Universidad Aut\'{o}noma Metropolitana},
abstract = {El Seminario de Discusi\'{o}n Acad\'{e}mica Inteligencia Artificial y Problemas Sociales fue un espacio de reflexi\'{o}n sobre los alcances de la Inteligencia Artificial (IA) y su impacto en las sociedades actuales. A su vez, permiti\'{o} determinar aquellas herramientas que puede aportar esta disciplina al entendimiento y a la modelaci\'{o}n de los problemas sociales observados en nuestros entornos. El inter\'{e}s de este espacio de discusi\'{o}n radica en explorar cu\'{a}les son las capacidades de la IA para plantear opciones metodol\'{o}gicas y herramientas para analizar y explicar las problem\'{a}ticas en cuesti\'{o}n. As\'{i}, se busc\'{o} explicar conceptos, aplicaciones y casos de estudio como paso previo para la formulaci\'{o}n de propuestas que atiendan o coadyuven a encontrar soluciones.},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
El Seminario de Discusión Académica Inteligencia Artificial y Problemas Sociales fue un espacio de reflexión sobre los alcances de la Inteligencia Artificial (IA) y su impacto en las sociedades actuales. A su vez, permitió determinar aquellas herramientas que puede aportar esta disciplina al entendimiento y a la modelación de los problemas sociales observados en nuestros entornos. El interés de este espacio de discusión radica en explorar cuáles son las capacidades de la IA para plantear opciones metodológicas y herramientas para analizar y explicar las problemáticas en cuestión. Así, se buscó explicar conceptos, aplicaciones y casos de estudio como paso previo para la formulación de propuestas que atiendan o coadyuven a encontrar soluciones.
Krüger, Jule; Pedrosa, Daniela; Beck, Dennis; Bourguet, Marie-Luce; Dengel, Andreas; Ghannam, Rami; Miller, Alan; Pena-Rios, Anasol; Richter, Jonathon (Ed.)
2024, ISBN: 978-1-7348995-7-3.
@proceedings{nokey,
title = {2024 10th International Conference of the Immersive Learning Research Network (iLRN) Proceedings - Selected Academic Contributions},
editor = {Jule Kr\"{u}ger and Daniela Pedrosa and Dennis Beck and Marie-Luce Bourguet and Andreas Dengel and Rami Ghannam and Alan Miller and Anasol Pena-Rios and Jonathon Richter},
url = {https://publications.immersivelrn.org/index.php/academic/issue/view/iLRN2024_posters_dc},
isbn = {978-1-7348995-7-3},
year = {2024},
date = {2024-05-30},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
MacDowell, Paula; Moon, Jewoong; Wilson, Douglas; Pedrosa, Daniela; Beck, Dennis; Bourguet, Marie-Luce; Dengel, Andreas; Ghannam, Rami; Miller, Alan; Pena-Rios, Anasol; Richter, Jonathon (Ed.)
2024, ISBN: 978-1-7348995-8-0.
@proceedings{nokey,
title = {Practitioner Proceedings of the 10th International Conference of the Immersive Learning Research Network (iLRN 2024)},
editor = {Paula MacDowell and Jewoong Moon and Douglas Wilson and Daniela Pedrosa and Dennis Beck and Marie-Luce Bourguet and Andreas Dengel and Rami Ghannam and Alan Miller and Anasol Pena-Rios and Jonathon Richter},
url = {https://publications.immersivelrn.org/index.php/practitioner/issue/view/ilrn2024},
isbn = {978-1-7348995-8-0},
year = {2024},
date = {2024-05-30},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Bahceci, Ozkan; Leon-Garza, Hugo; Pena-Rios, Anasol
Tacit knowledge capture Patent
2024.
@patent{nokey,
title = {Tacit knowledge capture},
author = {Ozkan Bahceci and Hugo Leon-Garza and Anasol Pena-Rios},
url = {https://patents.google.com/patent/WO2024088709A1/en},
year = {2024},
date = {2024-05-02},
abstract = {Methods and systems for capturing tacit knowledge data from an expert user and methods and systems for using the captured tacit knowledge data to assist a novice user. Steps of a computer-implemented method for capturing tacit knowledge data from an expert user comprise: receiving expert data, analysing the expert data, and storing the sequence of expert actions in a database. The expert data comprises expert real-time data received while the expert user performs a task. The expert real-time data comprises expert sensor data from a first plurality of sensors monitoring the expert user and/or the surroundings of the expert user. Analysing the expert data uses a machine learning system to determine what actions the expert user has performed. The analysing comprises classifying the expert data to determine expert actions that the expert has performed and clustering the expert actions into a sequence of expert actions.},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Methods and systems for capturing tacit knowledge data from an expert user and methods and systems for using the captured tacit knowledge data to assist a novice user. Steps of a computer-implemented method for capturing tacit knowledge data from an expert user comprise: receiving expert data, analysing the expert data, and storing the sequence of expert actions in a database. The expert data comprises expert real-time data received while the expert user performs a task. The expert real-time data comprises expert sensor data from a first plurality of sensors monitoring the expert user and/or the surroundings of the expert user. Analysing the expert data uses a machine learning system to determine what actions the expert user has performed. The analysing comprises classifying the expert data to determine expert actions that the expert has performed and clustering the expert actions into a sequence of expert actions.
Leon-Garza, Hugo; Bahceci, Ozkan; Pena-Rios, Anasol
AI automation for computer-based processes based on tacit expert knowledge Patent
2024.
@patent{nokey,
title = {AI automation for computer-based processes based on tacit expert knowledge},
author = {Hugo Leon-Garza and Ozkan Bahceci and Anasol Pena-Rios},
url = {https://patents.google.com/patent/EP4354373A1},
year = {2024},
date = {2024-04-17},
abstract = {The present application provides an adjustable Artificial Intelligence (AI) system that adapts to new systems and changes in an organisation to provide a seamless co-ordination between entities. This can be also referred to as an orchestrator that interacts with multiple systems and employees to achieve a given goal. The AI system learns from the actions of an expert recording their activity as they complete the same task. The AI system can learn where to find certain guidelines or documents, how to fill out the form with information that has been provided by the user, where to seek for approval for certain permissions, how to comply with company guidelines and update the user with several notifications along the way. The AI system can communicate these needs to human entities using natural language processing and text analytics.},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
The present application provides an adjustable Artificial Intelligence (AI) system that adapts to new systems and changes in an organisation to provide a seamless co-ordination between entities. This can be also referred to as an orchestrator that interacts with multiple systems and employees to achieve a given goal. The AI system learns from the actions of an expert recording their activity as they complete the same task. The AI system can learn where to find certain guidelines or documents, how to fill out the form with information that has been provided by the user, where to seek for approval for certain permissions, how to comply with company guidelines and update the user with several notifications along the way. The AI system can communicate these needs to human entities using natural language processing and text analytics.
Mukhopadhyay, Abhishek; Talwar, Naveen R.; Viswakarma, Himanshu; Reddy, G. S. Rajshekar; Srivastava, Shakti; Pena-Rios, Anasol; Biswas, Pradipta
VR digital twin of office space with computer vision-based estimation of room occupancy and power consumption Journal Article
In: Discover Analytics, vol. 2, no. 6, 2024.
@article{nokey,
title = {VR digital twin of office space with computer vision-based estimation of room occupancy and power consumption},
author = {Abhishek Mukhopadhyay and Naveen R. Talwar and Himanshu Viswakarma and G.S. Rajshekar Reddy and Shakti Srivastava and Anasol Pena-Rios and Pradipta Biswas},
doi = {https://doi.org/10.1007/s44257-024-00008-z},
year = {2024},
date = {2024-04-15},
journal = {Discover Analytics},
volume = {2},
number = {6},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Biswas, Pradipta; Sharma, Vinay Krishna; Pena-Rios, Anasol; Whitworth, Eryn; Orero, Pilar
Intelligent User Interface for Metaverse Proceedings Article
In: IUI ’24 Companion: Companion Proceedings of the 29th International Conference on Intelligent User Interfaces, pp. 116-118, ACM Digital Library, 2024.
@inproceedings{nokey,
title = {Intelligent User Interface for Metaverse},
author = {Pradipta Biswas and Vinay Krishna Sharma and Anasol Pena-Rios and Eryn Whitworth and Pilar Orero},
doi = {https://doi.org/10.1145/3640544.3645252},
year = {2024},
date = {2024-03-31},
booktitle = {IUI '24 Companion: Companion Proceedings of the 29th International Conference on Intelligent User Interfaces},
pages = {116-118},
publisher = {ACM Digital Library},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Zhao, Zi-Chuan; Pena-Rios, Anasol; Clark, Adrian; Conway, Anthony
3d reconstruction of a target Patent
2024.
@patent{nokey,
title = {3d reconstruction of a target},
author = {Zi-Chuan Zhao and Anasol Pena-Rios and Adrian Clark and Anthony Conway},
url = {https://patents.google.com/patent/WO2024037822A1},
year = {2024},
date = {2024-02-22},
abstract = {A computer-implemented method for 3D reconstruction of a target is provided, comprising obtaining an initial global reconstruction of the target in a 3D space, inferred by a global machine learning model; providing, to a user, an initial visualisation of the target based on the reconstruction; receiving, from the user, at least one indication of at least one point of interest in the visualisation; resampling at least one first subsection of the target based on the at least one point of interest to obtain local data, wherein the local data is associated with the subsection based on spatial information that associates the local data with a point in 3D space; inputting the resampled local data and spatial information into a local feature machine learning model to obtain at least one 3D reconstruction of the target, wherein the local feature machine learning model has been trained to output a target reconstruction from local data of resampled subsections, and wherein the 3D coordinate system of the local 3D reconstruction aligns with the global 3D reconstruction; and merging the global 3D reconstruction with the local 3D reconstruction. A corresponding computer system and computer readable medium may also be provided.},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
A computer-implemented method for 3D reconstruction of a target is provided, comprising obtaining an initial global reconstruction of the target in a 3D space, inferred by a global machine learning model; providing, to a user, an initial visualisation of the target based on the reconstruction; receiving, from the user, at least one indication of at least one point of interest in the visualisation; resampling at least one first subsection of the target based on the at least one point of interest to obtain local data, wherein the local data is associated with the subsection based on spatial information that associates the local data with a point in 3D space; inputting the resampled local data and spatial information into a local feature machine learning model to obtain at least one 3D reconstruction of the target, wherein the local feature machine learning model has been trained to output a target reconstruction from local data of resampled subsections, and wherein the 3D coordinate system of the local 3D reconstruction aligns with the global 3D reconstruction; and merging the global 3D reconstruction with the local 3D reconstruction. A corresponding computer system and computer readable medium may also be provided.
Pena-Rios, Anasol; Economou, Daphne; Beck, Dennis
Guest editorial: Special issue on “disruption, innovation and resiliency in immersive learning” Journal Article
In: Education and Information Technologies, pp. 1-6, 2024, ISSN: 1573-7608.
Abstract | Links | BibTeX | Altmetric
@article{nokey,
title = {Guest editorial: Special issue on “disruption, innovation and resiliency in immersive learning”},
author = {Anasol Pena-Rios and Daphne Economou and Dennis Beck },
url = {https://link.springer.com/article/10.1007/s10639-024-12551-z},
doi = {https://doi.org/10.1007/s10639-024-12551-z},
issn = {1573-7608},
year = {2024},
date = {2024-02-15},
journal = {Education and Information Technologies},
pages = {1-6},
abstract = {Immersive learning environments have the potential to improve learning, augmenting conventional teaching methods towards the creation of engaging experiences for learners. However, there are still many challenges in designing meaningful experiences that address pedagogical needs (Beck et al., 2023) whilst considering current technology affordances to ensure that these experiences consolidate into well-established learning tools that are scalable and correctly assessed. Moreover, the interdisciplinary nature of these applications has created new bridges between researchers, computer scientists, educators, gamers, UI/UX designers, and developers while considering ethics and best practices, developing the field of Immersive Learning research.
For all the reasons previously stated, we are glad to present this special issue on “Disruption, Innovation and Resiliency in Immersive Learning” as a way to provide a common theme for scientists, practitioners, organizations, and innovators across disciplines to share their research findings, experiences, and insights on the emerging scholarly knowledge base on how these technologies can be used to create experiences that educate, engage, and excite learners towards shaping the future immersive technologies for learning.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Immersive learning environments have the potential to improve learning, augmenting conventional teaching methods towards the creation of engaging experiences for learners. However, there are still many challenges in designing meaningful experiences that address pedagogical needs (Beck et al., 2023) whilst considering current technology affordances to ensure that these experiences consolidate into well-established learning tools that are scalable and correctly assessed. Moreover, the interdisciplinary nature of these applications has created new bridges between researchers, computer scientists, educators, gamers, UI/UX designers, and developers while considering ethics and best practices, developing the field of Immersive Learning research.
For all the reasons previously stated, we are glad to present this special issue on “Disruption, Innovation and Resiliency in Immersive Learning” as a way to provide a common theme for scientists, practitioners, organizations, and innovators across disciplines to share their research findings, experiences, and insights on the emerging scholarly knowledge base on how these technologies can be used to create experiences that educate, engage, and excite learners towards shaping the future immersive technologies for learning.
For all the reasons previously stated, we are glad to present this special issue on “Disruption, Innovation and Resiliency in Immersive Learning” as a way to provide a common theme for scientists, practitioners, organizations, and innovators across disciplines to share their research findings, experiences, and insights on the emerging scholarly knowledge base on how these technologies can be used to create experiences that educate, engage, and excite learners towards shaping the future immersive technologies for learning.
2023
Pena-Rios, Anasol; Wu, Junjie Gavin
Guest Editorial: The Metaverse and the Future of Education Journal Article
In: IEEE Transactions on Learning Technologies, vol. 16, iss. 6, pp. 887-891, 2023, ISSN: 1939-1382.
Abstract | Links | BibTeX | Altmetric
@article{nokey,
title = {Guest Editorial: The Metaverse and the Future of Education},
author = {Anasol Pena-Rios and Junjie Gavin Wu},
url = {https://ieeexplore.ieee.org/abstract/document/10361565},
doi = {10.1109/TLT.2023.3324843},
issn = {1939-1382},
year = {2023},
date = {2023-12-15},
urldate = {2023-12-15},
journal = {IEEE Transactions on Learning Technologies},
volume = {16},
issue = {6},
pages = {887-891},
abstract = {The metaverse is seen as an evolution paradigm of the next-generation Internet, able to support a diverse range of persistent and always-on interconnected synchronous multiuser virtual environments where people can engage with others in real time, merging the physical and virtual world [1], [2], [3]. The concept was first mentioned in 1992s Neal Stephenson novel “ Snow Crash ” [4], and it follows the web and mobile Internet revolutions, allowing users to experience virtual environments in an immersive and hyperspatiotemporal manner [1]. Thus, it represents a paradigm shift in digital interaction, enabling real-time, multidimensional experiences that transcend the boundaries of physical space with the promise of bringing new levels of social connection and collaboration. The metaverse exists within the Internet, but not in the traditional way of seeing the world through a screen [1]. Instead, the metaverse aims to provide immersive experiences based on the convergence of spatial computing technologies that enable multisensory user interactions [e.g., virtual reality (VR), augmented reality (AR), and mixed reality (MR)] [2], [3] combined with 3-D data and artificial intelligence. The metaverse is also related to the concept of digital twins (DTs), which are digital replicas of elements in the real world (e.g., assets and processes) that mirror and synchronize in real time with their source, creating a bidirectional connection between them. While DTs focus more on the bidirectional connection between real and virtual and the accuracy of the representation toward better decision-making, the metaverse looks at sociotechnical challenges of seamless embodied communication between users and the dynamic interactions with the virtual spaces.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The metaverse is seen as an evolution paradigm of the next-generation Internet, able to support a diverse range of persistent and always-on interconnected synchronous multiuser virtual environments where people can engage with others in real time, merging the physical and virtual world [1], [2], [3]. The concept was first mentioned in 1992s Neal Stephenson novel “ Snow Crash ” [4], and it follows the web and mobile Internet revolutions, allowing users to experience virtual environments in an immersive and hyperspatiotemporal manner [1]. Thus, it represents a paradigm shift in digital interaction, enabling real-time, multidimensional experiences that transcend the boundaries of physical space with the promise of bringing new levels of social connection and collaboration. The metaverse exists within the Internet, but not in the traditional way of seeing the world through a screen [1]. Instead, the metaverse aims to provide immersive experiences based on the convergence of spatial computing technologies that enable multisensory user interactions [e.g., virtual reality (VR), augmented reality (AR), and mixed reality (MR)] [2], [3] combined with 3-D data and artificial intelligence. The metaverse is also related to the concept of digital twins (DTs), which are digital replicas of elements in the real world (e.g., assets and processes) that mirror and synchronize in real time with their source, creating a bidirectional connection between them. While DTs focus more on the bidirectional connection between real and virtual and the accuracy of the representation toward better decision-making, the metaverse looks at sociotechnical challenges of seamless embodied communication between users and the dynamic interactions with the virtual spaces.
Bourguet, Marie-Luce; Krüger, Jule; Pedrosa, Daniela; Dengel, Andreas; Pena-Rios, Anasol; Richter, Jonathon
2023, ISBN: 978-3-031-47328-9.
@proceedings{nokey,
title = {Immersive Learning Research Network, 9th International Conference, iLRN 2023, San Luis Obispo, USA, June 26\textendash29, 2023, Revised Selected Papers},
author = {Marie-Luce Bourguet and Jule Kr\"{u}ger and Daniela Pedrosa and Andreas Dengel and Anasol Pena-Rios and Jonathon Richter},
doi = {https://doi.org/10.1007/978-3-031-47328-9},
isbn = {978-3-031-47328-9},
year = {2023},
date = {2023-10-30},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
MacDowell, Paula; Moon, Jewoong; Wilson, Douglas; Pedrosa, Daniela; Dengel, Andreas; Pena-Rios, Anasol; Richter, Jonathon (Ed.)
Practitioner Proceedings of the 9th International Conference of the Immersive Learning Research Network Proceedings
2023, ISBN: 978-1-7348995-6-6/23.
@proceedings{nokey,
title = {Practitioner Proceedings of the 9th International Conference of the Immersive Learning Research Network},
editor = {Paula MacDowell and Jewoong Moon and Douglas Wilson and Daniela Pedrosa and Andreas Dengel and Anasol Pena-Rios and Jonathon Richter},
url = {https://publications.immersivelrn.org/index.php/practitioner/issue/view/iLRN2023},
isbn = {978-1-7348995-6-6/23},
year = {2023},
date = {2023-06-30},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Bourguet, Marie-Luce; Krüger, Jule; Pedrosa, Daniela; Dengel, Andreas; Pena-Rios, Anasol; Richter, Jonathon (Ed.)
2023, ISBN: 978-1-7348995-5-9/23.
@proceedings{nokey,
title = {2023 9th International Conference of the Immersive Learning Research Network (iLRN) - Posters \& Doctoral Colloquium},
editor = {Marie-Luce Bourguet and Jule Kr\"{u}ger and Daniela Pedrosa and Andreas Dengel and Anasol Pena-Rios and Jonathon Richter},
url = {https://publications.immersivelrn.org/index.php/academic/issue/view/iLRN2023},
isbn = {978-1-7348995-5-9/23},
year = {2023},
date = {2023-06-30},
urldate = {2023-06-30},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Pena-Rios, Anasol; Conway, Anthony
2023 9th International Conference of the Immersive Learning Research Network (iLRN) – Posters & Doctoral Colloquium, 2023, ISBN: 978-1-7348995-5-9/23.
@conference{nokey,
title = {Work-in-Progress - Interactive Digital Twins in Field Service Operations Training and Real-Time Support},
author = {Anasol Pena-Rios and Anthony Conway},
doi = {10.56198/ZH3JO5HRP},
isbn = {978-1-7348995-5-9/23},
year = {2023},
date = {2023-06-30},
booktitle = {2023 9th International Conference of the Immersive Learning Research Network (iLRN) - Posters \& Doctoral Colloquium},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Economou, Daphne; Pena-Rios, Anasol; Mentzelopoulos, Markos; Martinez-Mukimov, Timur; Ferguson, Jeff
Technical Considerations for Designing and Implementing Immersive Learning Applications Conference
Practitioner Proceedings of the 9th International Conference of the Immersive Learning Research Network (iLRN 2023) , The Immersive Learning Research Network, 2023, ISBN: 978-1-7348995-6-6/23.
@conference{nokey,
title = {Technical Considerations for Designing and Implementing Immersive Learning Applications},
author = {Daphne Economou and Anasol Pena-Rios and Markos Mentzelopoulos and Timur Martinez-Mukimov and Jeff Ferguson},
doi = {10.56198/ITIG2DTW5},
isbn = {978-1-7348995-6-6/23},
year = {2023},
date = {2023-06-30},
urldate = {2023-06-30},
booktitle = {Practitioner Proceedings of the 9th International Conference of the Immersive Learning Research Network (iLRN 2023) },
publisher = {The Immersive Learning Research Network},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2022
Leon-Garza, Hugo; Hagras, Hani; Pena-Rios, Anasol; Bahceci, Ozkan; Conway, Anthony
A Hand-Gesture Recognition Based Interpretable Type-2 Fuzzy Rule-Based System for Extended Reality Conference
IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2022), Prague, Czech Republic, October 9-12, 2022, IEEE, 2022.
@conference{Leon-Garza2022b,
title = {A Hand-Gesture Recognition Based Interpretable Type-2 Fuzzy Rule-Based System for Extended Reality},
author = {Hugo Leon-Garza and Hani Hagras and Anasol Pena-Rios and Ozkan Bahceci and Anthony Conway},
url = {https://ieeexplore.ieee.org/document/9945407},
year = {2022},
date = {2022-11-18},
urldate = {2022-12-01},
booktitle = {IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2022), Prague, Czech Republic, October 9-12, 2022},
publisher = {IEEE},
abstract = {In recent years, technologies such as Augmented Reality (AR) and Virtual Reality (VR) have become more popular and available to broader audiences, leading to the research and development of a myriad of extended applications. A modality for end-users to interact with these applications is through hand gestures, hence the importance of detecting the different gestures in real-time. This paper presents an interval type-2 Fuzzy Rule-based System (FRBS) optimised by the Big Bang-Big Crunch (BB-BC) algorithm that uses the fingers’ position from the hand-tracking technology in extended reality (XR) headsets (namely HoloLens 2 and Oculus Quest 2) to classify the user’s hand gestures. This approach achieved an accuracy of 96.4%, and it is an interpretable model that can be understood and adjusted by end-users. The interval type-2 FRBS was tested against a type-1 FRBS and a k-nearest neighbours (KNN) model. It outperformed the type-1 FRBS and was close to the 98.9% accuracy performance of the KNN model, making our suggested approach a competitive alternative to opaque models.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In recent years, technologies such as Augmented Reality (AR) and Virtual Reality (VR) have become more popular and available to broader audiences, leading to the research and development of a myriad of extended applications. A modality for end-users to interact with these applications is through hand gestures, hence the importance of detecting the different gestures in real-time. This paper presents an interval type-2 Fuzzy Rule-based System (FRBS) optimised by the Big Bang-Big Crunch (BB-BC) algorithm that uses the fingers’ position from the hand-tracking technology in extended reality (XR) headsets (namely HoloLens 2 and Oculus Quest 2) to classify the user’s hand gestures. This approach achieved an accuracy of 96.4%, and it is an interpretable model that can be understood and adjusted by end-users. The interval type-2 FRBS was tested against a type-1 FRBS and a k-nearest neighbours (KNN) model. It outperformed the type-1 FRBS and was close to the 98.9% accuracy performance of the KNN model, making our suggested approach a competitive alternative to opaque models.
Leon-Garza, Hugo; Pena-Rios, Anasol; Hagras, Hani; Conway, Anthony; Owusu, Gilbert
Generating Three-dimensional Data Models of Two-dimensional Floor Plans Patent
2022.
@patent{Leon-Garza2022,
title = {Generating Three-dimensional Data Models of Two-dimensional Floor Plans},
author = {Hugo Leon-Garza and Anasol Pena-Rios and Hani Hagras and Anthony Conway and Gilbert Owusu},
url = {https://patents.google.com/patent/WO2022194674A1/en},
year = {2022},
date = {2022-09-22},
urldate = {2022-09-22},
abstract = {A computer implemented method to generate a three-dimensional (3D) data model of a two-dimensional (2D) floor plan, the floor plan being constituted as a digital image including indications of types of building elements, the method comprising: training a classifier to classify each pixel in each of a plurality of portions of the floor plan to a type of building element, the classifier being defined based on a training set of 2D floor plan images by extracting features for each of a plurality of portions of each image and clustering the features to labelled clusters, each label indicating a type of building element, wherein training the classifier further comprises defining a plurality of rules defining relationships between pixels in portions of a plan to each cluster by a degree of membership, the relationships being determined based on executing the rules for pixels in portions of the training set; receiving 2D floor plan; classifying pixels in the received floor plan to types of building element based on the trained classifier by executing the rules for each pixel of each of a plurality of portions of the received floor plan to classify the pixel as a type of building element; associating parts of the received 2D floor plan with each of a plurality of types of building element by identifying groups of pixels classified as the type of building element; and generating a 3D data model indicating 3D building elements based on the classification of each pixel in the received 2D floor plan.},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
A computer implemented method to generate a three-dimensional (3D) data model of a two-dimensional (2D) floor plan, the floor plan being constituted as a digital image including indications of types of building elements, the method comprising: training a classifier to classify each pixel in each of a plurality of portions of the floor plan to a type of building element, the classifier being defined based on a training set of 2D floor plan images by extracting features for each of a plurality of portions of each image and clustering the features to labelled clusters, each label indicating a type of building element, wherein training the classifier further comprises defining a plurality of rules defining relationships between pixels in portions of a plan to each cluster by a degree of membership, the relationships being determined based on executing the rules for pixels in portions of the training set; receiving 2D floor plan; classifying pixels in the received floor plan to types of building element based on the trained classifier by executing the rules for each pixel of each of a plurality of portions of the received floor plan to classify the pixel as a type of building element; associating parts of the received 2D floor plan with each of a plurality of types of building element by identifying groups of pixels classified as the type of building element; and generating a 3D data model indicating 3D building elements based on the classification of each pixel in the received 2D floor plan.
MacDowell, Paula; Moon, Jewong; Pedrosa, Daniela; Hutson, James; Erenli, Kai; Economou, Daphne; Pena-Rios, Anasol; Richter, Jonathon (Ed.)
Practitioner Proceedings of the 8th International Conference of the Immersive Learning Research Network (iLRN 2022) Proceedings
2022, ISBN: 978-1-7348995-4-2.
@proceedings{MacDowell2022,
title = {Practitioner Proceedings of the 8th International Conference of the Immersive Learning Research Network (iLRN 2022)},
editor = {Paula MacDowell and Jewong Moon and Daniela Pedrosa and James Hutson and Kai Erenli and Daphne Economou and Anasol Pena-Rios and Jonathon Richter},
isbn = {978-1-7348995-4-2},
year = {2022},
date = {2022-09-09},
urldate = {2022-09-09},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Leon-Garza, Hugo; Hagras, Hani; Pena-Rios, Anasol; Conway, Anthony; Owusu, Gilbert
A Type-2 Fuzzy System-based Approach for Image Data Fusion to Create Building Information Models Journal Article
In: Information Fusion, 2022, ISSN: 1566-2535.
Abstract | Links | BibTeX | Altmetric
@article{nokey,
title = {A Type-2 Fuzzy System-based Approach for Image Data Fusion to Create Building Information Models },
author = {Hugo Leon-Garza and Hani Hagras and Anasol Pena-Rios and Anthony Conway and Gilbert Owusu},
url = {https://www.sciencedirect.com/science/article/abs/pii/S1566253522000665},
doi = {10.1016/j.inffus.2022.07.007},
issn = {1566-2535},
year = {2022},
date = {2022-07-22},
urldate = {2022-01-31},
journal = {Information Fusion},
abstract = {Building Information Modelling (BIM) is a standard digital process that fuses buildings information from different sources into a 3D model during their lifecycle. For new construction sites using BIM, it is possible to monitor the cost, schedule, and changes throughout the lifecycle; however, existing buildings do not have a BIM model. Manually creating the BIM models for existing buildings is a high-cost task, both in time and money, hence there is a need for extracting information from available paper-based documentation and fuse it into a BIM model. The struggle of facility management and utility companies to fully adopt a BIM process (due to their high volumes of paper-based documentation of existing buildings) has led to the research on creating these 3D BIM models from 2D floor plan images. This paper presents a novel processing pipeline to extract 2D digital information from floorplans, fusing it into a 3D BIM model. The work focuses on fusing the available information to create the structure of the building in BIM format, which is considered the essential step before looking on working with other sources of data. In this process, we introduce a type-2 fuzzy logic based Explainable Artificial Intelligence (XAI) approach for the semantic segmentation step. The approach consists of using the outputs of type-2 fuzzy logic systems to classify a pixel as wall or background, by using information around and from the pixel of interest as the inputs to the system. After the semantic segmentation step, the output of the type-2 fuzzy logic goes through a noise removal process and finally a transformation from 2D to 3D by assigning the corresponding BIM tag to each identified element. The proposed type-2 fuzzy logic semantic segmentation approach produced comparable results (97.3% mean Intersection over Union (IoU) performance metric value) to the opaque box model approach based on Convolutional Neural Network (CNN) (99.3% mean IoU performance metric value). However, the type-2 fuzzy XAI system benefits from being an augmentable and interpretable model, which means that human users can understand the decision process and modify the model using their expert knowledge.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Building Information Modelling (BIM) is a standard digital process that fuses buildings information from different sources into a 3D model during their lifecycle. For new construction sites using BIM, it is possible to monitor the cost, schedule, and changes throughout the lifecycle; however, existing buildings do not have a BIM model. Manually creating the BIM models for existing buildings is a high-cost task, both in time and money, hence there is a need for extracting information from available paper-based documentation and fuse it into a BIM model. The struggle of facility management and utility companies to fully adopt a BIM process (due to their high volumes of paper-based documentation of existing buildings) has led to the research on creating these 3D BIM models from 2D floor plan images. This paper presents a novel processing pipeline to extract 2D digital information from floorplans, fusing it into a 3D BIM model. The work focuses on fusing the available information to create the structure of the building in BIM format, which is considered the essential step before looking on working with other sources of data. In this process, we introduce a type-2 fuzzy logic based Explainable Artificial Intelligence (XAI) approach for the semantic segmentation step. The approach consists of using the outputs of type-2 fuzzy logic systems to classify a pixel as wall or background, by using information around and from the pixel of interest as the inputs to the system. After the semantic segmentation step, the output of the type-2 fuzzy logic goes through a noise removal process and finally a transformation from 2D to 3D by assigning the corresponding BIM tag to each identified element. The proposed type-2 fuzzy logic semantic segmentation approach produced comparable results (97.3% mean Intersection over Union (IoU) performance metric value) to the opaque box model approach based on Convolutional Neural Network (CNN) (99.3% mean IoU performance metric value). However, the type-2 fuzzy XAI system benefits from being an augmentable and interpretable model, which means that human users can understand the decision process and modify the model using their expert knowledge.
Pena-Rios, Anasol; El-Moussa, Fadi; Conway, Anthony; Owusu, Gilbert
Remediating Vulnerabilities in Digital Twins Patent
2022.
@patent{nokey,
title = {Remediating Vulnerabilities in Digital Twins},
author = {Anasol Pena-Rios and Fadi El-Moussa and Anthony Conway and Gilbert Owusu},
url = {https://patents.google.com/patent/GB2602481A/en},
year = {2022},
date = {2022-07-06},
abstract = {Remediating a vulnerability of a digital representation of a physical entity in a computer system, where the digital representation is constituted as a software component, and the physical entity is a network connected computing component. In response to a determination that a measure of vulnerability of the digital representation to malware meets a predetermined threshold 302, it determines a modification of the digital representation to remediate a vulnerability in the digital representation 304 and applies the determined modification 306. The modification may be determined by a collaborative filtering algorithm applied to a set of predetermined possible modifications. The collaborative filtering algorithm may be part of a context-aware collaborative filtering system in which the modification is determined based on a context of the digital representation including characteristics of one or more of the digital representations and the vulnerability.},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Remediating a vulnerability of a digital representation of a physical entity in a computer system, where the digital representation is constituted as a software component, and the physical entity is a network connected computing component. In response to a determination that a measure of vulnerability of the digital representation to malware meets a predetermined threshold 302, it determines a modification of the digital representation to remediate a vulnerability in the digital representation 304 and applies the determined modification 306. The modification may be determined by a collaborative filtering algorithm applied to a set of predetermined possible modifications. The collaborative filtering algorithm may be part of a context-aware collaborative filtering system in which the modification is determined based on a context of the digital representation including characteristics of one or more of the digital representations and the vulnerability.
Dengel, Andreas; Bourguet, Marie-Luce; Pedrosa, Daniela; Hutson, James; Erenli, Kai; Economou, Daphne; Pena-Rios, Anasol; Richter, Jonathon (Ed.)
Proceedings of 2022 8th International Conference of the Immersive Learning Research Network (iLRN) Proceedings
2022, ISBN: 978-1-7348995-2-8.
@proceedings{nokey,
title = {Proceedings of 2022 8th International Conference of the Immersive Learning Research Network (iLRN)},
editor = {Andreas Dengel and Marie-Luce Bourguet and Daniela Pedrosa and James Hutson and Kai Erenli and Daphne Economou and Anasol Pena-Rios and Jonathon Richter},
isbn = {978-1-7348995-2-8},
year = {2022},
date = {2022-07-06},
urldate = {2022-07-06},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Kaiser, Rene; Pena-Rios, Anasol; Dodds, Heather; Pirker, Johanna; Chambel, Teresa; Gütl, Christian; Pietroszek, Krzysztof
Adjunt Proceedings of the 1st Intl. Workshop on Analytics, Learning & Collaboration in eXtended Reality (XRWALC 2022) Proceedings
2022.
@proceedings{Kaiser2022,
title = {Adjunt Proceedings of the 1st Intl. Workshop on Analytics, Learning \& Collaboration in eXtended Reality (XRWALC 2022)},
author = {Rene Kaiser and Anasol Pena-Rios and Heather Dodds and Johanna Pirker and Teresa Chambel and Christian G\"{u}tl and Krzysztof Pietroszek},
editor = {Rene Kaiser and Anasol Pena-Rios and Heather Dodds and Johanna Pirker and Teresa Chambel and Christian G\"{u}tl and Krzysztof Pietroszek},
year = {2022},
date = {2022-06-22},
urldate = {2022-06-22},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Pena-Rios, Anasol
Digital Twins, Immersive Technologies and the Workplace of the Future Conference
Adjunct Proceedings of the 2022 ACM International Conference on Interactive Media Experiences (IMX 2022), 2022.
@conference{nokey,
title = {Digital Twins, Immersive Technologies and the Workplace of the Future},
author = {Anasol Pena-Rios},
year = {2022},
date = {2022-06-22},
booktitle = {Adjunct Proceedings of the 2022 ACM International Conference on Interactive Media Experiences (IMX 2022)},
abstract = {Immersive technologies and digital twins have the potential to improve different work activities, for example, in manufacturing, logistics, customer service activities, among others, to increase overall employee efficiency. When combined with computational intelligence mechanisms, these technologies can produce context-aware adaptive environments, supporting the decision-making process. Its use can also lead to a much faster knowledge transfer and a deeper understanding of different processes, improving experience-based learning. This paper explores the uses of immersive technologies and digital twins in the workplace and reflections on the future of work.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Immersive technologies and digital twins have the potential to improve different work activities, for example, in manufacturing, logistics, customer service activities, among others, to increase overall employee efficiency. When combined with computational intelligence mechanisms, these technologies can produce context-aware adaptive environments, supporting the decision-making process. Its use can also lead to a much faster knowledge transfer and a deeper understanding of different processes, improving experience-based learning. This paper explores the uses of immersive technologies and digital twins in the workplace and reflections on the future of work.
Pena-Rios, Anasol; Cairano-Gilfedder, Carla Di; Krug, Louise; Glover, Tim; Conway, Anthony; Owusu, Gilbert
Uncovering the Power of Digital Twins for Telcos Journal Article
In: The ITP Journal (Technical Magazine), vol. 16, iss. 1, pp. 38-44, 2022, ISSN: 1755-9278.
@article{Pena-Rios2022,
title = {Uncovering the Power of Digital Twins for Telcos},
author = {Anasol Pena-Rios and Carla Di Cairano-Gilfedder and Louise Krug and Tim Glover and Anthony Conway and Gilbert Owusu},
issn = {1755-9278},
year = {2022},
date = {2022-04-04},
urldate = {2022-04-04},
journal = {The ITP Journal (Technical Magazine)},
volume = {16},
issue = {1},
pages = {38-44},
publisher = {The Institute of Telecommunications Professionals (ITP)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bahceci, Ozkan; Pena-Rios, Anasol; Buckingham, Gavin; Conway, Anthony
Supervised Machine Learning Hand Gesture Classification in VR for Immersive Training Conference
2022 IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), 2022.
@conference{nokey,
title = {Supervised Machine Learning Hand Gesture Classification in VR for Immersive Training },
author = {Ozkan Bahceci and Anasol Pena-Rios and Gavin Buckingham and Anthony Conway},
doi = {10.1109/VRW55335.2022.00225},
year = {2022},
date = {2022-03-01},
urldate = {2022-03-01},
booktitle = {2022 IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Mukhopadhyay, Abhishek; Reddy, G S Rajshekar; Saluja, KamalPreet Singh; Ghosh, Subhankar; Murthy, LRD; Peña-Rios, Anasol; Gopal, Gokul; Biswas, Pradipta
A Virtual Reality-Based Digital Twin of Office Spaces with Social Distance Measurement Feature Journal Article
In: Virtual Reality & Intelligent Hardware, vol. 4, iss. 1, pp. 55-75, 2022.
@article{nokey,
title = {A Virtual Reality-Based Digital Twin of Office Spaces with Social Distance Measurement Feature},
author = {Abhishek Mukhopadhyay and G S Rajshekar Reddy and KamalPreet Singh Saluja and Subhankar Ghosh and LRD Murthy and Anasol Pe\~{n}a-Rios and Gokul Gopal and Pradipta Biswas},
url = {http://www.vr-ih.com/vrih/html/EN/10.1016/j.vrih.2022.01.004},
doi = {10.1016/j.vrih.2022.01.004},
year = {2022},
date = {2022-02-01},
urldate = {2021-09-21},
journal = {Virtual Reality \& Intelligent Hardware},
volume = {4},
issue = {1},
pages = {55-75},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2021
Andrade, Tiago; Pena-Rios, Anasol; Smith-Creasey, Max; Bahceci, Ozkan
User personality traits classification for adaptive virtual environments in non-linear story paths Patent
2021.
@patent{nokey,
title = {User personality traits classification for adaptive virtual environments in non-linear story paths},
author = {Tiago Andrade and Anasol Pena-Rios and Max Smith-Creasey and Ozkan Bahceci},
url = {https://patents.google.com/patent/WO2023104519A1},
year = {2021},
date = {2021-12-08},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Mukhopadhyay, A.; Reddy, GSR; Mukherjee, I.; Gopal, Gokul; Peña-Rios, Anasol; Biswas, Pradipta
Generating Synthetic Data for Deep Learning using VR Digital Twin Conference
ACM 2021 5th International Conference on Cloud and Big Data Computing (ICCBDC) (VRIP 2021), 2021.
@conference{Mukhopadhyay2021,
title = {Generating Synthetic Data for Deep Learning using VR Digital Twin},
author = {A. Mukhopadhyay and GSR Reddy and I. Mukherjee and Gokul Gopal and Anasol Pe\~{n}a-Rios and Pradipta Biswas},
url = {https://dl.acm.org/doi/10.1145/3481646.3481655},
doi = {10.1145/3481646.3481655},
year = {2021},
date = {2021-08-13},
urldate = {2021-08-13},
booktitle = {ACM 2021 5th International Conference on Cloud and Big Data Computing (ICCBDC) (VRIP 2021)},
pages = {52-56},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Leon-Garza, Hugo; Hagras, Hani; Peña-Rios, Anasol; Owusu, Gilbert; Conway, Anthony
A Fuzzy Rule-based System using a Patch-based Approach for Semantic Segmentation in Floor Plans Conference
2021 IEEE Intl. Conf. on Fuzzy Systems (FUZZ-IEEE), IEEE 2021.
@conference{Leon-Garza2021b,
title = {A Fuzzy Rule-based System using a Patch-based Approach for Semantic Segmentation in Floor Plans},
author = {Hugo Leon-Garza and Hani Hagras and Anasol Pe\~{n}a-Rios and Gilbert Owusu and Anthony Conway},
url = {https://ieeexplore.ieee.org/abstract/document/9494464/},
year = {2021},
date = {2021-08-05},
urldate = {2021-08-31},
booktitle = {2021 IEEE Intl. Conf. on Fuzzy Systems (FUZZ-IEEE)},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Leon-Garza, Hugo; Hagras, Hani; Peña-Rios, Anasol; Owusu, Gilbert; Conway, Anthony
2021 IEEE Intl. Conf. on Fuzzy Systems (FUZZ-IEEE), IEEE 2021.
@conference{Leon-Garza2021,
title = {An Interval Type-2 Fuzzy-based System to Create Building Information Management Models from 2D Floor Plan Images},
author = {Hugo Leon-Garza and Hani Hagras and Anasol Pe\~{n}a-Rios and Gilbert Owusu and Anthony Conway},
url = {https://ieeexplore.ieee.org/abstract/document/9494427/},
year = {2021},
date = {2021-08-05},
urldate = {2021-08-31},
booktitle = {2021 IEEE Intl. Conf. on Fuzzy Systems (FUZZ-IEEE)},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Espino, Rodrigo Vázquez; Luna-Ramírez, Wulfrano-Arturo; Peña-Rios, Anasol; Juan, Miguel Capllonch
Hacia un Semáforo de Riesgo Personal para Sismos en la República Mexicana Journal Article
In: Research in Computing Science, vol. 150, no. 7, 2021, ISSN: 1870-4069.
@article{Vazquez2021,
title = {Hacia un Sem\'{a}foro de Riesgo Personal para Sismos en la Rep\'{u}blica Mexicana},
author = {Rodrigo {V\'{a}zquez Espino} and Wulfrano-Arturo Luna-Ram\'{i}rez and Anasol Pe\~{n}a-Rios and Miguel {Capllonch Juan}},
issn = {1870-4069},
year = {2021},
date = {2021-07-31},
urldate = {2021-07-31},
booktitle = {Proceedings of the XIII Congreso Mexicano de Inteligencia Artificial},
journal = {Research in Computing Science},
volume = {150},
number = {7},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bahceci, Ozkan; Peña-Rios, Anasol; Gupta, Vikas; Conway, Anthony; Owusu, Gilbert
Using Immersive Virtual Reality in Field Service Telecom Engineers Training Conference
2021 7th International Conference of the Immersive Learning Research Network (iLRN), IEEE Immersive Learning Research Network, 2021, ISBN: 978-1-7348995-2-8/21.
@conference{Bahceci2021,
title = {Using Immersive Virtual Reality in Field Service Telecom Engineers Training},
author = {Ozkan Bahceci and Anasol Pe\~{n}a-Rios and Vikas Gupta and Anthony Conway and Gilbert Owusu},
url = {https://ieeexplore.ieee.org/document/9459243},
isbn = {978-1-7348995-2-8/21},
year = {2021},
date = {2021-06-29},
booktitle = {2021 7th International Conference of the Immersive Learning Research Network (iLRN)},
publisher = {Immersive Learning Research Network},
organization = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Economou, Daphne; Pena-Rios, Anasol; Dengel, Andreas; Dodds, Heather; Mentzelopoulos, Markos; Klippel, Alexander; Erenli, Kai; Lee, Mark J W; Richter, Jonathon
Proceedings of 2021 7th International Conference of the Immersive Learning Research Network (iLRN) Proceedings
Immersive Learning Research Network, 2021, ISBN: 978-1-7348995-2-8/21.
@proceedings{ilrn2021,
title = {Proceedings of 2021 7th International Conference of the Immersive Learning Research Network (iLRN)},
author = {Daphne Economou and Anasol Pena-Rios and Andreas Dengel and Heather Dodds and Markos Mentzelopoulos and Alexander Klippel and Kai Erenli and Mark J W Lee and Jonathon Richter},
editor = {Daphne Economou and Anasol Pena-Rios and Andreas Dengel and Heather Dodds and Markos Mentzelopoulos and Alexander Klippel and Kai Erenli and Mark J W Lee and Jonathon Richter},
isbn = {978-1-7348995-2-8/21},
year = {2021},
date = {2021-06-16},
pages = {500},
publisher = { Immersive Learning Research Network},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Callaghan, Victor; Chin, Jeannette; Doctor, Faiyaz; Kymalainen, Tiina; Peña-Rios, Anasol; Phengdy, C; Tisan, Alin; Wang, Minjuan; Wu, Hsuan-Yi; Zamudio, Victor; Zhang, Shumei; Zheng, Ping
Journeys in the Age of Smart Cities : Some Fresh Perspectives Book Chapter
In: Augusto, Juan Carlos (Ed.): Handbook of Smart Cities, vol. Handbook of Smart Cities, Springer, Switzerland, 2021, ISBN: 9783030151454.
Abstract | Links | BibTeX | Altmetric
@inbook{Callaghan2021,
title = {Journeys in the Age of Smart Cities : Some Fresh Perspectives},
author = {Victor Callaghan and Jeannette Chin and Faiyaz Doctor and Tiina Kymalainen and Anasol Pe\~{n}a-Rios and C Phengdy and Alin Tisan and Minjuan Wang and Hsuan-Yi Wu and Victor Zamudio and Shumei Zhang and Ping Zheng},
editor = {Juan Carlos Augusto},
url = {https://link.springer.com/referenceworkentry/10.1007/978-3-030-15145-4_62-2},
doi = {10.1007/978-3-030-15145-4_62-2},
isbn = {9783030151454},
year = {2021},
date = {2021-03-28},
urldate = {2021-03-28},
booktitle = {Handbook of Smart Cities},
volume = {Handbook of Smart Cities},
publisher = {Springer},
address = {Switzerland},
abstract = {Modern cities are intrinsically multidisciplinary and multicultural places. Inspired by that view, this chapter has invited a cross-disciplinary international team of domain experts to present their differing views (in their distinctive styles) on the current state and future evolution of smart cities. In presenting their views, the experts have adopted the metaphor of a journey, since the people, organizations, and technologies comprising a smart city can be regarded as being on journeys from conception to death, from start-up to bankruptcy, and from innovation to obsolescence. To do this, the chapter begins with a person-centric exploration of smart cities, examining topics such as innovation, entrepreneurship, generational issues, memory, and education before ending with a set of discussions around the key enabling technologies such as artificial intelligence, the Internet of Things, smart transport, mixed reality, and wearables. The chapter concludes by regarding the smart city as a type living laboratory for innovative technology development, reflecting on the expert's opinions for potential directions of travel that smart city research might take.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Modern cities are intrinsically multidisciplinary and multicultural places. Inspired by that view, this chapter has invited a cross-disciplinary international team of domain experts to present their differing views (in their distinctive styles) on the current state and future evolution of smart cities. In presenting their views, the experts have adopted the metaphor of a journey, since the people, organizations, and technologies comprising a smart city can be regarded as being on journeys from conception to death, from start-up to bankruptcy, and from innovation to obsolescence. To do this, the chapter begins with a person-centric exploration of smart cities, examining topics such as innovation, entrepreneurship, generational issues, memory, and education before ending with a set of discussions around the key enabling technologies such as artificial intelligence, the Internet of Things, smart transport, mixed reality, and wearables. The chapter concludes by regarding the smart city as a type living laboratory for innovative technology development, reflecting on the expert’s opinions for potential directions of travel that smart city research might take.
2020
Peña-Rios, Anasol; Economou, Daphne; Mentzelopoulos, Markos (Ed.)
Special Issue on Exploring Immersive Technologies in Learning Periodical
Special Issue on Exploring Immersive Technologies in Learning, vol. 26, no. 8, 2020, visited: 28.08.2020.
@periodical{Pena-Rios2020,
title = {Special Issue on Exploring Immersive Technologies in Learning},
author = {Anasol Pe\~{n}a-Rios and Daphne Economou and Markos Mentzelopoulos},
editor = {Anasol Pe\~{n}a-Rios and Daphne Economou and Markos Mentzelopoulos},
url = {https://lib.jucs.org/issue/3459/},
year = {2020},
date = {2020-08-28},
urldate = {2020-08-28},
issuetitle = {Special Issue on Exploring Immersive Technologies in Learning},
journal = {Journal of Universal Computer Science},
volume = {26},
number = {8},
pages = {854--857},
keywords = {},
pubstate = {published},
tppubtype = {periodical}
}
Leon-Garza, Hugo; Pena-Rios, Anasol; Hagras, Hani; Conway, Anthony; Owusu, Gilbert
Rendering of spatial environments Patent
2020.
@patent{LEONGarza2020,
title = {Rendering of spatial environments},
author = {Hugo Leon-Garza and Anasol Pena-Rios and Hani Hagras and Anthony Conway and Gilbert Owusu},
url = {https://patents.google.com/patent/GB2591103A/},
year = {2020},
date = {2020-01-15},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Pena-Rios, Anasol; Oplatek, Tomas; Hagras, Hani; Conway, Anthony; Owusu, Gilbert
Interaction-based rendering of spatial environments Patent
2020.
@patent{PENARIOS2020a,
title = {Interaction-based rendering of spatial environments},
author = {Anasol Pena-Rios and Tomas Oplatek and Hani Hagras and Anthony Conway and Gilbert Owusu},
url = {https://patents.google.com/patent/WO2021144118A1/},
year = {2020},
date = {2020-01-15},
urldate = {2020-01-15},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Peña-Rios, Anasol; Bahceci, Ozkan; Gupta, Vikas; Conway, Anthony; Owusu, Gilbert
Work-in-Progress — A Web-based Virtual Reality Training Simulator for Field Service Telecommunications Engineers Conference
6th International Conference of the Immersive Learning Research Network (iLRN 2020), Immersive Learning Research Network, Online, 2020, ISBN: 9781734899504.
@conference{Pena-Rios2020b,
title = {Work-in-Progress \textemdash A Web-based Virtual Reality Training Simulator for Field Service Telecommunications Engineers},
author = {Anasol Pe\~{n}a-Rios and Ozkan Bahceci and Vikas Gupta and Anthony Conway and Gilbert Owusu},
editor = {Daphne Economou and Alexander Klippel and Heather Dodds and Anasol Pe\~{n}a-Rios and Mark J W Lee and Dennis Beck and Johanna Pirker and Andreas Dengel and Tiago M Peres and Jonathon Richter},
isbn = {9781734899504},
year = {2020},
date = {2020-01-01},
booktitle = {6th International Conference of the Immersive Learning Research Network (iLRN 2020)},
pages = {316--319},
publisher = {Immersive Learning Research Network},
address = {Online},
abstract = {The increasing complexity of field service operations in different industries, presents companies with the challenge of maintaining and improving their workforce expertise. Employees need to be efficiently trained in different key specialized equipment and procedures. To do so, companies need to consider challenges such as access to equipment (or physical mock-ups) and the challenging logistics of getting people to them, among other issues. In this paper, we present a work-in-progress web-based VR simulator that aims to enhance and facilitate the hands-on training process for field service telecommunication engineers. We present an implementation of the simulator and report preliminary results of user evaluation.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The increasing complexity of field service operations in different industries, presents companies with the challenge of maintaining and improving their workforce expertise. Employees need to be efficiently trained in different key specialized equipment and procedures. To do so, companies need to consider challenges such as access to equipment (or physical mock-ups) and the challenging logistics of getting people to them, among other issues. In this paper, we present a work-in-progress web-based VR simulator that aims to enhance and facilitate the hands-on training process for field service telecommunication engineers. We present an implementation of the simulator and report preliminary results of user evaluation.
Peña-Rios, Anasol; Oplatek, Tomas; Hagras, Hani; Conway, Anthony; Owusu, Gilbert
Work-in-Progress—Measuring Engagement in Virtual Reality for Talent Attraction Purposes Conference
6th International Conference of the Immersive Learning Research Network (iLRN 2020), Immersive Learning Research Network, Online, 2020, ISBN: 9781734899504.
@conference{Pena-Rios2020a,
title = {Work-in-Progress\textemdashMeasuring Engagement in Virtual Reality for Talent Attraction Purposes},
author = {Anasol Pe\~{n}a-Rios and Tomas Oplatek and Hani Hagras and Anthony Conway and Gilbert Owusu},
editor = {Daphne Economou and Alexander Klippel and Heather Dodds and Anasol Pe\~{n}a-Rios and Mark J W Lee and Dennis Beck and Johanna Pirker and Andreas Dengel and Tiago M Peres and Jonathon Richter},
isbn = {9781734899504},
year = {2020},
date = {2020-01-01},
booktitle = {6th International Conference of the Immersive Learning Research Network (iLRN 2020)},
pages = {324--327},
publisher = {Immersive Learning Research Network},
address = {Online},
abstract = {Virtual Reality (VR) is a powerful tool for situate users in environments difficult to replicate in real life due to restricted access (e.g. historical sites or restricted buildings) or dangerous situations (e.g. working on top of a pole) among other examples. Such simulations can be used for allowing users to experience real-life situations in a controlled environment, enabling the study of interesting phenomena, such as user's engagement. This paper introduces a work-in-progress mobile VR app that recreates everyday working scenarios, using a mixture of 3D modelled environments and media streamed resources (e.g. 360 videos) to attract talent for specific roles in a company, by providing a better understanding of the activities involved in those roles. We complement this with preliminary results of a user evaluation, and the results of an engagement evaluation provided via a fuzzy logic system (FLS). Index},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Virtual Reality (VR) is a powerful tool for situate users in environments difficult to replicate in real life due to restricted access (e.g. historical sites or restricted buildings) or dangerous situations (e.g. working on top of a pole) among other examples. Such simulations can be used for allowing users to experience real-life situations in a controlled environment, enabling the study of interesting phenomena, such as user’s engagement. This paper introduces a work-in-progress mobile VR app that recreates everyday working scenarios, using a mixture of 3D modelled environments and media streamed resources (e.g. 360 videos) to attract talent for specific roles in a company, by providing a better understanding of the activities involved in those roles. We complement this with preliminary results of a user evaluation, and the results of an engagement evaluation provided via a fuzzy logic system (FLS). Index
Economou, Daphne; Klippel, Alexander; Dodds, Heather; Peña-Rios, Anasol; Lee, Mark J W; Beck, Dennis; Pirker, Johanna; Dengel, Andreas; Peres, Tiago M; Richter, Jonathon
Immersive Learning Research Network. Proceedings of 6th International Conference, iLRN 2020. Proceedings
Immersive Learning Research Network, Online, 2020, ISBN: 978-1-7348995-0-4.
@proceedings{Economou2020,
title = {Immersive Learning Research Network. Proceedings of 6th International Conference, iLRN 2020.},
author = {Daphne Economou and Alexander Klippel and Heather Dodds and Anasol Pe\~{n}a-Rios and Mark J W Lee and Dennis Beck and Johanna Pirker and Andreas Dengel and Tiago M Peres and Jonathon Richter},
editor = {Daphne Economou and Alexander Klippel and Heather Dodds and Anasol Pe\~{n}a-Rios and Mark J W Lee and Dennis Beck and Johanna Pirker and Andreas Dengel and Tiago M Peres and Jonathon Richter},
isbn = {978-1-7348995-0-4},
year = {2020},
date = {2020-01-01},
publisher = {Immersive Learning Research Network},
address = {Online},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Leon-Garza, Hugo; Hagras, Hani; Peña-Rios, Anasol; Owusu, Gilbert; Conway, Anthony
A Fuzzy Logic Based System for Cloud-based Building Information Modelling Rendering Optimization in Augmented Reality Conference
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Online, 2020.
@conference{Leon-Garza2020,
title = {A Fuzzy Logic Based System for Cloud-based Building Information Modelling Rendering Optimization in Augmented Reality},
author = {Hugo Leon-Garza and Hani Hagras and Anasol Pe\~{n}a-Rios and Gilbert Owusu and Anthony Conway},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
publisher = {IEEE},
address = {Online},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Leon-Garza, Hugo; Hagras, Hani; Peña-Rios, Anasol; Conway, Anthony; Owusu, Gilbert
A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Explainable Semantic Segmentation of Trees in Satellite Images using HSV Color Space Conference
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Online, 2020.
@conference{Leon-Garza2020a,
title = {A Big Bang-Big Crunch Type-2 Fuzzy Logic System for Explainable Semantic Segmentation of Trees in Satellite Images using HSV Color Space},
author = {Hugo Leon-Garza and Hani Hagras and Anasol Pe\~{n}a-Rios and Anthony Conway and Gilbert Owusu},
year = {2020},
date = {2020-01-01},
booktitle = {2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)},
publisher = {IEEE},
address = {Online},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
2019
Peña-Rios, Anasol
The Augmented Employee : Immersive Technologies in Field Service Operations Conference
Workshop, Long and Short Paper, and Poster Proceedings from the Fifth Immersive Immersive Learning Research Network Conference, Technischen Universitat Graz, London, 2019, ISBN: 9783851256574.
Abstract | Links | BibTeX | Altmetric
@conference{Pena-Rios2019,
title = {The Augmented Employee : Immersive Technologies in Field Service Operations},
author = {Anasol Pe\~{n}a-Rios},
editor = {Dennis Beck and Anasol Pe\~{n}a-Rios and Todd Ogle and Daphne Economou and Markos Mentzelopoulos and Leonel Morgado and Christian Eckhardt and Johanna Pirker and Roxane Koitz-Hristov and Jonathon Richter and Christian G\"{u}tl and Michael Gardner},
url = {http://diglib.tugraz.at/download.php?id=5d4bce3047a3c\&location=browse},
doi = {10.3217/978-3-85125-657-4-06},
isbn = {9783851256574},
year = {2019},
date = {2019-01-01},
booktitle = {Workshop, Long and Short Paper, and Poster Proceedings from the Fifth Immersive Immersive Learning Research Network Conference},
pages = {3--4},
publisher = {Technischen Universitat Graz},
address = {London},
abstract = {Immersive technologies have the potential to enhance service operations, improving customer service and increasing overall efficiency. By combining them with computational intelligence (CI) mechanisms to produce adaptive context-aware environments for advanced decision-support, these solutions can lead to a much faster knowledge transfer and a deeper understanding of different processes, enhancing experiential learning. This presentation will explore uses of immersive technologies for field service operations in the telecommunications domain.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Immersive technologies have the potential to enhance service operations, improving customer service and increasing overall efficiency. By combining them with computational intelligence (CI) mechanisms to produce adaptive context-aware environments for advanced decision-support, these solutions can lead to a much faster knowledge transfer and a deeper understanding of different processes, enhancing experiential learning. This presentation will explore uses of immersive technologies for field service operations in the telecommunications domain.
Beck, Dennis; Peña-Rios, Anasol; Ogle, Todd; Economou, Daphne; Mentzelopoulos, Markos; Morgado, Leonel; Eckhardt, Christian; Pirker, Johanna; Koitz-Hristov, Roxane; Richter, Jonathon; Gütl, Christian; Gardner, Michael
Technischen Universitat Graz, London, 2019.
@proceedings{Beck2019,
title = {Workshop, Long and Short Paper, and Poster Proceedings from the Fifth Immersive Learning Research Network Conference (iLRN 2019 London).},
author = {Dennis Beck and Anasol Pe\~{n}a-Rios and Todd Ogle and Daphne Economou and Markos Mentzelopoulos and Leonel Morgado and Christian Eckhardt and Johanna Pirker and Roxane Koitz-Hristov and Jonathon Richter and Christian G\"{u}tl and Michael Gardner},
editor = {Dennis Beck and Anasol Pe\~{n}a-Rios and Todd Ogle and Daphne Economou and Markos Mentzelopoulos and Leonel Morgado and Christian Eckhardt and Johanna Pirker and Roxane Koitz-Hristov and Jonathon Richter and Christian G\"{u}tl and Michael Gardner},
url = {https://diglib.tugraz.at/ilrn-2019-london-workshop-long-and-short-paper-and-poster-proceedings-from-the-fifth-immersive-2019},
doi = {10.3217/978-3-85125-657-4},
year = {2019},
date = {2019-01-01},
publisher = {Technischen Universitat Graz},
address = {London},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Peña-Rios, Anasol; Khosmood, Foaad (Ed.)
Special Issue on Immersive Learning Technologies: Research and Future Directions Periodical
Special Issue on Immersive Learning Technologies: Research and Future Directions, vol. 25, no. 5, 2019, visited: 01.01.2019, ISSN: 09486968.
@periodical{Pena-Rios2019a,
title = {Special Issue on Immersive Learning Technologies: Research and Future Directions},
author = {Anasol Pe\~{n}a-Rios and Foaad Khosmood},
editor = {Anasol Pe\~{n}a-Rios and Foaad Khosmood},
url = {https://lib.jucs.org/issue/3271/},
issn = {09486968},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
issuetitle = {Special Issue on Immersive Learning Technologies: Research and Future Directions},
journal = {Journal of Universal Computer Science},
volume = {25},
number = {5},
pages = {444--445},
keywords = {},
pubstate = {published},
tppubtype = {periodical}
}
Beck, Dennis; Peña-Rios, Anasol; Ogle, Todd; Economou, Daphne; Mentzelopoulos, Markos; Morgado, Leonel; Eckhardt, Christian; Pirker, Johanna; Koitz-Hristov, Roxane; Richter, Jonathon; Gutl, Christian; Gardner, Michael
Springer International Publishing, vol. 1044, 2019, ISSN: 1865-0929.
@proceedings{Beck2019b,
title = {Immersive Learning Research Network. 5th International Conference, iLRN 2019, London, UK, June 23\textendash27, 2019, Proceedings.},
author = {Dennis Beck and Anasol Pe\~{n}a-Rios and Todd Ogle and Daphne Economou and Markos Mentzelopoulos and Leonel Morgado and Christian Eckhardt and Johanna Pirker and Roxane Koitz-Hristov and Jonathon Richter and Christian Gutl and Michael Gardner},
editor = {Dennis Beck and Anasol Pe\~{n}a-Rios and Todd Ogle and Daphne Economou and Markos Mentzelopoulos and Leonel Morgado and Christian Eckhardt and Johanna Pirker and Roxane Koitz-Hristov and Jonathon Richter and Christian G\"{u}tl and Michael Gardner},
url = {https://link.springer.com/book/10.1007/978-3-030-23089-0 http://link.springer.com/10.1007/978-3-030-23089-0},
doi = {10.1007/978-3-030-23089-0},
issn = {1865-0929},
year = {2019},
date = {2019-01-01},
booktitle = {Communications in Computer and Information Science},
volume = {1044},
publisher = {Springer International Publishing},
series = {Communications in Computer and Information Science},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
2018
Pena-Rios, Anasol; Cairano-Gilfedder, Carla Di; Hagras, Hani; Owusu, Gilbert
Classification of Knowledge Management Assets Patent
2018.
@patent{nokey,
title = {Classification of Knowledge Management Assets},
author = {Anasol Pena-Rios and Carla Di Cairano-Gilfedder and Hani Hagras and Gilbert Owusu},
url = {https://patents.google.com/patent/EP3624065A1/},
year = {2018},
date = {2018-09-12},
urldate = {2018-09-12},
keywords = {},
pubstate = {published},
tppubtype = {patent}
}
Beck, Dennis; Peña-Rios, Anasol; Ogle, Todd; Allison, Colin; Morgado, Leonel; Pirker, Johanna; Richter, Jonathon; Gütl, Christian
Technischen Universitat Graz, Montana, 2018.
@proceedings{Beck2018b,
title = {Workshop, Long and Short Paper, and Poster Proceedings from the Fourth Immersive Learning Research Network Conference (iLRN 2018 Montana).},
author = {Dennis Beck and Anasol Pe\~{n}a-Rios and Todd Ogle and Colin Allison and Leonel Morgado and Johanna Pirker and Jonathon Richter and Christian G\"{u}tl},
editor = {Dennis Beck and Anasol Pe\~{n}a-Rios and Todd Ogle and Colin Allison and Leonel Morgado and Johanna Pirker and Jonathon Richter and Christian G\"{u}tl},
url = {http://diglib.tugraz.at/ilrn-2018-montana-2018},
doi = {10.3217/978-3-85125-657-4},
year = {2018},
date = {2018-01-01},
publisher = {Technischen Universitat Graz},
address = {Montana},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Beck, Dennis; Allison, Colin; Morgado, Leonel; Pirker, Johanna; Peña-Rios, Anasol; Ogle, Todd; Richter, Jonathon; Gutl, Christian
Springer International Publishing, Cham, vol. 840, 2018, ISBN: 978-3-319-93595-9.
@proceedings{Beck2018,
title = {Immersive Learning Research Network. 4th International Conference, iLRN 2018, Missoula, MT, USA, June 24-29, 2018, Proceedings},
author = {Dennis Beck and Colin Allison and Leonel Morgado and Johanna Pirker and Anasol Pe\~{n}a-Rios and Todd Ogle and Jonathon Richter and Christian Gutl},
editor = {Dennis Beck and Colin Allison and Leonel Morgado and Johanna Pirker and Anasol Pe\~{n}a-Rios and Todd Ogle and Jonathon Richter and Christian G\"{u}tl},
url = {https://link.springer.com/book/10.1007/978-3-319-93596-6 http://link.springer.com/10.1007/978-3-319-93596-6},
doi = {10.1007/978-3-319-93596-6},
isbn = {978-3-319-93595-9},
year = {2018},
date = {2018-01-01},
volume = {840},
publisher = {Springer International Publishing},
address = {Cham},
series = {Communications in Computer and Information Science},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}
Peña-Rios, Anasol; Hagras, Hani; Owusu, Gilbert; Gardner, Michael
Furthering Service 4.0: Harnessing Intelligent Immersive Environments and Systems Journal Article
In: IEEE Systems, Man, and Cybernetics Magazine, vol. 4, no. 1, pp. 20–31, 2018, ISSN: VO – 4.
Abstract | Links | BibTeX | Altmetric
@article{Pena-Rios2018,
title = {Furthering Service 4.0: Harnessing Intelligent Immersive Environments and Systems},
author = {Anasol Pe\~{n}a-Rios and Hani Hagras and Gilbert Owusu and Michael Gardner},
url = {http://ieeexplore.ieee.org/document/8260586/},
doi = {10.1109/MSMC.2017.2769199},
issn = {VO - 4},
year = {2018},
date = {2018-01-01},
journal = {IEEE Systems, Man, and Cybernetics Magazine},
volume = {4},
number = {1},
pages = {20--31},
abstract = {With the increasing complexity of service operations in different industries and more advanced uses of specialized equipment and procedures, the great current challenge for companies is to increase employees' expertise and their ability to maintain and improve service quality. In this regard, Service 4.0 aims to support and promote innovation in service operations using emergent technology. Current technological innovations present a significant opportunity to provide on-site, real-time support for field service professionals in many areas.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
With the increasing complexity of service operations in different industries and more advanced uses of specialized equipment and procedures, the great current challenge for companies is to increase employees’ expertise and their ability to maintain and improve service quality. In this regard, Service 4.0 aims to support and promote innovation in service operations using emergent technology. Current technological innovations present a significant opportunity to provide on-site, real-time support for field service professionals in many areas.