AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Bosser, A. -G.; Cascarano, P.; Lacoche, J.; Hajahmadi, S.; Stanescu, A.; Sörös, G.
Preface to the First Workshop on GenAI-XR: Generative Artificial Intelligence meets Extended Reality Proceedings Article
In: Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW, pp. 129–130, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 979-833151484-6 (ISBN).
Abstract | Links | BibTeX | Tags: Adaptive environment, Adaptive Environments, Art educations, Artificial Intelligence and Extended Reality Integration, Context-aware systems, Entertainment industry, Extended reality, Immersive, Indexterm: generative artificial intelligence, IndexTerms: Generative Artificial Intelligence, Industry professionals, Innovative method, Personalized interaction, Personalized Interactions
@inproceedings{bosser_preface_2025,
title = {Preface to the First Workshop on GenAI-XR: Generative Artificial Intelligence meets Extended Reality},
author = {A. -G. Bosser and P. Cascarano and J. Lacoche and S. Hajahmadi and A. Stanescu and G. Sörös},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005161220&doi=10.1109%2fVRW66409.2025.00033&partnerID=40&md5=41f0fb56b31c0beb94368c3379e5d75a},
doi = {10.1109/VRW66409.2025.00033},
isbn = {979-833151484-6 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW},
pages = {129–130},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {The GenAI-XR workshop aims to explore the intersection of Generative Artificial Intelligence (GenAI) and Extended Reality (XR), examining their combined potential to revolutionize various sectors including entertainment, arts, education, factory work, healthcare, architecture, and others. The workshop will provide a platform for researchers, industry professionals, and practitioners to discuss innovative methods of integrating GenAI into XR environments, enhancing immersive experiences, and personalizing interactions in real time. Through presentation and discussion sessions, participants will gain insights into the latest developments, challenges, and future directions at the intersection of GenAI and XR. © 2025 IEEE.},
keywords = {Adaptive environment, Adaptive Environments, Art educations, Artificial Intelligence and Extended Reality Integration, Context-aware systems, Entertainment industry, Extended reality, Immersive, Indexterm: generative artificial intelligence, IndexTerms: Generative Artificial Intelligence, Industry professionals, Innovative method, Personalized interaction, Personalized Interactions},
pubstate = {published},
tppubtype = {inproceedings}
}
The GenAI-XR workshop aims to explore the intersection of Generative Artificial Intelligence (GenAI) and Extended Reality (XR), examining their combined potential to revolutionize various sectors including entertainment, arts, education, factory work, healthcare, architecture, and others. The workshop will provide a platform for researchers, industry professionals, and practitioners to discuss innovative methods of integrating GenAI into XR environments, enhancing immersive experiences, and personalizing interactions in real time. Through presentation and discussion sessions, participants will gain insights into the latest developments, challenges, and future directions at the intersection of GenAI and XR. © 2025 IEEE.
2024
Asadi, A. R.; Appiah, J.; Muntaka, S. A.; Kropczynski, J.
Actions, Not Apps: Toward Using LLMs to Reshape Context Aware Interactions in Mixed Reality Systems Proceedings Article
In: C., Stephanidis; M., Antona; S., Ntoa; G., Salvendy (Ed.): Commun. Comput. Info. Sci., pp. 166–176, Springer Science and Business Media Deutschland GmbH, 2024, ISBN: 18650929 (ISSN); 978-303162109-3 (ISBN).
Abstract | Links | BibTeX | Tags: Computation theory, Context Aware System, Context-aware interaction, Context-aware systems, Decision making, Digital information, Flat-screens, Interaction Design, Language Model, Mixed reality, Mixed reality systems, User interaction, User interfaces, User perceptions
@inproceedings{asadi_actions_2024,
title = {Actions, Not Apps: Toward Using LLMs to Reshape Context Aware Interactions in Mixed Reality Systems},
author = {A. R. Asadi and J. Appiah and S. A. Muntaka and J. Kropczynski},
editor = {Stephanidis C. and Antona M. and Ntoa S. and Salvendy G.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196733497&doi=10.1007%2f978-3-031-62110-9_17&partnerID=40&md5=9cd702ff979c7f111a5172df8f155ddf},
doi = {10.1007/978-3-031-62110-9_17},
isbn = {18650929 (ISSN); 978-303162109-3 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Commun. Comput. Info. Sci.},
volume = {2120 CCIS},
pages = {166–176},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {Mixed reality computing merges user perception of the environment with digital information. As we move from flatscreen computing toward head-mounted computing, the necessity for developing alternative interactions and user flows becomes more evident. Activity theory provides a holistic overview of user interactions and motives. In this work in progress, we propose Action Sandbox Workspace as an interaction framework for the future of MR systems by focusing on action-centric interactions rather than application-centric interactions, aiming to bridge the gap between user goals and system functionalities in everyday tasks. By integrating the ontology of actions, user intentions, and context and connecting it to spatial data mapping, this forward-looking framework aims to create a contextually adaptive user interaction environment. The recent development in large language models (LLMs) has made the implementation of this interaction flow feasible by enabling inference and decision-making based on text-based descriptions of a user’s state and intentions with data and actions users have access to. We propose this approach as a future direction for developing mixed reality platforms and integrating AI in interacting with computers. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},
keywords = {Computation theory, Context Aware System, Context-aware interaction, Context-aware systems, Decision making, Digital information, Flat-screens, Interaction Design, Language Model, Mixed reality, Mixed reality systems, User interaction, User interfaces, User perceptions},
pubstate = {published},
tppubtype = {inproceedings}
}
Mixed reality computing merges user perception of the environment with digital information. As we move from flatscreen computing toward head-mounted computing, the necessity for developing alternative interactions and user flows becomes more evident. Activity theory provides a holistic overview of user interactions and motives. In this work in progress, we propose Action Sandbox Workspace as an interaction framework for the future of MR systems by focusing on action-centric interactions rather than application-centric interactions, aiming to bridge the gap between user goals and system functionalities in everyday tasks. By integrating the ontology of actions, user intentions, and context and connecting it to spatial data mapping, this forward-looking framework aims to create a contextually adaptive user interaction environment. The recent development in large language models (LLMs) has made the implementation of this interaction flow feasible by enabling inference and decision-making based on text-based descriptions of a user’s state and intentions with data and actions users have access to. We propose this approach as a future direction for developing mixed reality platforms and integrating AI in interacting with computers. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Janaka, N.
Towards Intelligent Wearable Assistants Proceedings Article
In: UbiComp Companion - Companion ACM Int. Jt. Conf. Pervasive Ubiquitous Comput., pp. 618–621, Association for Computing Machinery, Inc, 2024, ISBN: 979-840071058-2 (ISBN).
Abstract | Links | BibTeX | Tags: AI assistance, Augmented Reality, context-aware system, Context-aware systems, HMD, Interaction, interactions, Interruption, interruptions, MR, Notification, notifications, Smart glass, smart glasses, wearable, Wearable assistant, Wearable computers, XR
@inproceedings{janaka_towards_2024,
title = {Towards Intelligent Wearable Assistants},
author = {N. Janaka},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206157248&doi=10.1145%2f3675094.3678989&partnerID=40&md5=539933fdbb3b5289b179cbe9e8f7c083},
doi = {10.1145/3675094.3678989},
isbn = {979-840071058-2 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {UbiComp Companion - Companion ACM Int. Jt. Conf. Pervasive Ubiquitous Comput.},
pages = {618–621},
publisher = {Association for Computing Machinery, Inc},
abstract = {This summary outlines my research toward developing intelligent wearable assistants that provide personalized, context-aware computing assistance. Previous work explored information presentation using smart glasses, socially-aware interactions, and applications for learning, communication, and documentation. Current research aims to develop tools for interaction research, including data collection, multimodal evaluation metrics, and a platform for creating context-aware AI assistants. Future goals include extending assistants to physical spaces via telepresence, optimizing learning with generative AI, and investigating collaborative human-AI learning. Ultimately, this research seeks to redefine how humans receive seamless support through proactive, intelligent wearable assistants that comprehend users and environments, augmenting capabilities while reducing reliance on manual labor. © 2024 Copyright held by the owner/author(s).},
keywords = {AI assistance, Augmented Reality, context-aware system, Context-aware systems, HMD, Interaction, interactions, Interruption, interruptions, MR, Notification, notifications, Smart glass, smart glasses, wearable, Wearable assistant, Wearable computers, XR},
pubstate = {published},
tppubtype = {inproceedings}
}
This summary outlines my research toward developing intelligent wearable assistants that provide personalized, context-aware computing assistance. Previous work explored information presentation using smart glasses, socially-aware interactions, and applications for learning, communication, and documentation. Current research aims to develop tools for interaction research, including data collection, multimodal evaluation metrics, and a platform for creating context-aware AI assistants. Future goals include extending assistants to physical spaces via telepresence, optimizing learning with generative AI, and investigating collaborative human-AI learning. Ultimately, this research seeks to redefine how humans receive seamless support through proactive, intelligent wearable assistants that comprehend users and environments, augmenting capabilities while reducing reliance on manual labor. © 2024 Copyright held by the owner/author(s).