AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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Here you can find the complete list of our publications.
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You can expand the Abstract, Links and BibTex record for each paper.
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
Otsuka, T.; Li, D.; Siriaraya, P.; Nakajima, S.
Development of A Relaxation Support System Utilizing Stereophonic AR Proceedings Article
In: Int. Conf. Comput., Netw. Commun., ICNC, pp. 463–467, Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 979-833152096-0 (ISBN).
Abstract | Links | BibTeX | Tags: Augmented Reality, Environmental sounds, Generative AI, Immersive, Mental Well-being, Soundscapes, Spatial Audio, Stereo image processing, Support method, Support systems, Well being
@inproceedings{otsuka_development_2025,
title = {Development of A Relaxation Support System Utilizing Stereophonic AR},
author = {T. Otsuka and D. Li and P. Siriaraya and S. Nakajima},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105006602014&doi=10.1109%2fICNC64010.2025.10993739&partnerID=40&md5=abdaca1aefc88381072c1e8090697638},
doi = {10.1109/ICNC64010.2025.10993739},
isbn = {979-833152096-0 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Int. Conf. Comput., Netw. Commun., ICNC},
pages = {463–467},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Given the high prevalence of stress and anxiety in today's society, there is an urgent need to explore effective methods to help people manage stress. This research aims to develop a relaxation support system using stereophonic augmented reality (AR), designed to help alleviate stress by recreating relaxing environments with immersive stereo soundscapes, including stories created from generative AI and environmental sounds while users are going for a walk. This paper presents a preliminary evaluation of the effectiveness of the proposed relaxation support method. © 2025 IEEE.},
keywords = {Augmented Reality, Environmental sounds, Generative AI, Immersive, Mental Well-being, Soundscapes, Spatial Audio, Stereo image processing, Support method, Support systems, Well being},
pubstate = {published},
tppubtype = {inproceedings}
}
Given the high prevalence of stress and anxiety in today's society, there is an urgent need to explore effective methods to help people manage stress. This research aims to develop a relaxation support system using stereophonic augmented reality (AR), designed to help alleviate stress by recreating relaxing environments with immersive stereo soundscapes, including stories created from generative AI and environmental sounds while users are going for a walk. This paper presents a preliminary evaluation of the effectiveness of the proposed relaxation support method. © 2025 IEEE.
2024
Imamura, S.; Hiraki, H.; Rekimoto, J.
Serendipity Wall: A Discussion Support System Using Real-Time Speech Recognition and Large Language Model Proceedings Article
In: Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW, pp. 588–590, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835037449-0 (ISBN).
Abstract | Links | BibTeX | Tags: Brainstorming sessions, Discussion support, Embeddings, Group discussions, Human computer interaction, Human computer interaction (HCI), Human-centered computing, Language Model, Large displays, Real- time, Speech recognition, Support systems, Virtual Reality
@inproceedings{imamura_serendipity_2024,
title = {Serendipity Wall: A Discussion Support System Using Real-Time Speech Recognition and Large Language Model},
author = {S. Imamura and H. Hiraki and J. Rekimoto},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195557406&doi=10.1109%2fVRW62533.2024.00113&partnerID=40&md5=22c393aa1ea99a9e64d382f1b56fb877},
doi = {10.1109/VRW62533.2024.00113},
isbn = {979-835037449-0 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. - IEEE Conf. Virtual Real. 3D User Interfaces Abstr. Workshops, VRW},
pages = {588–590},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Group discussions are important for exploring new ideas. One method to support discussions is presenting relevant keywords or images. However, the context of the conversation and information tended not to be taken into account. Therefore, we propose a system that develops group discussions by presenting related information in response to discussions. As a specific example, this study addressed academic discussions among HCI researchers. During brainstorming sessions, the system continuously transcribes the dialogue and generates embedding vectors of the discussions. These vectors are matched against those of existing research articles to identify relevant studies. Then, the system presented relevant studies on the large display with summarizing by an LLM. In a case study, this system had the effect of broadening the topics of discussion and facilitating the acquisition of new knowledge. A larger display area is desirable in terms of information volume and size. Therefore, in addition to large displays, virtual reality environments with headsets could be suitable for this system. © 2024 IEEE.},
keywords = {Brainstorming sessions, Discussion support, Embeddings, Group discussions, Human computer interaction, Human computer interaction (HCI), Human-centered computing, Language Model, Large displays, Real- time, Speech recognition, Support systems, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
Group discussions are important for exploring new ideas. One method to support discussions is presenting relevant keywords or images. However, the context of the conversation and information tended not to be taken into account. Therefore, we propose a system that develops group discussions by presenting related information in response to discussions. As a specific example, this study addressed academic discussions among HCI researchers. During brainstorming sessions, the system continuously transcribes the dialogue and generates embedding vectors of the discussions. These vectors are matched against those of existing research articles to identify relevant studies. Then, the system presented relevant studies on the large display with summarizing by an LLM. In a case study, this system had the effect of broadening the topics of discussion and facilitating the acquisition of new knowledge. A larger display area is desirable in terms of information volume and size. Therefore, in addition to large displays, virtual reality environments with headsets could be suitable for this system. © 2024 IEEE.
2023
Ayre, D.; Dougherty, C.; Zhao, Y.
IMPLEMENTATION OF AN ARTIFICIAL INTELLIGENCE (AI) INSTRUCTIONAL SUPPORT SYSTEM IN A VIRTUAL REALITY (VR) THERMAL-FLUIDS LABORATORY Proceedings Article
In: ASME Int Mech Eng Congress Expos Proc, American Society of Mechanical Engineers (ASME), 2023, ISBN: 978-079188765-3 (ISBN).
Abstract | Links | BibTeX | Tags: Artificial intelligence, E-Learning, Education computing, Engineering education, Fluid mechanics, Generative AI, generative artificial intelligence, GPT, High educations, Instructional support, Laboratories, Laboratory class, Laboratory experiments, Physical laboratory, Professional aspects, Students, Support systems, Thermal fluids, Virtual Reality, Virtual-reality environment
@inproceedings{ayre_implementation_2023,
title = {IMPLEMENTATION OF AN ARTIFICIAL INTELLIGENCE (AI) INSTRUCTIONAL SUPPORT SYSTEM IN A VIRTUAL REALITY (VR) THERMAL-FLUIDS LABORATORY},
author = {D. Ayre and C. Dougherty and Y. Zhao},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185393784&doi=10.1115%2fIMECE2023-112683&partnerID=40&md5=c2492592a016478a4b3591ff82a93be5},
doi = {10.1115/IMECE2023-112683},
isbn = {978-079188765-3 (ISBN)},
year = {2023},
date = {2023-01-01},
booktitle = {ASME Int Mech Eng Congress Expos Proc},
volume = {8},
publisher = {American Society of Mechanical Engineers (ASME)},
abstract = {Physical laboratory experiments have long been the cornerstone of higher education, providing future engineers practical real-life experience invaluable to their careers. However, demand for laboratory time has exceeded physical capabilities. Virtual reality (VR) labs have proven to retain many benefits of attending physical labs while also providing significant advantages only available in a VR environment. Previously, our group had developed a pilot VR lab that replicated six (6) unique thermal-fluids lab experiments developed using the Unity game engine. One of the VR labs was tested in a thermal-fluid mechanics laboratory class with favorable results, but students highlighted the need for additional assistance within the VR simulation. In response to this testing, we have incorporated an artificial intelligence (AI) assistant to aid students within the VR environment by developing an interaction model. Utilizing the Generative Pre-trained Transformer 4 (GPT-4) large language model (LLM) and augmented context retrieval, the AI assistant can provide reliable instruction and troubleshoot errors while students conduct the lab procedure to provide an experience similar to a real-life lab assistant. The updated VR lab was tested in two laboratory classes and while the overall tone of student response to an AI-powered assistant was excitement and enthusiasm, observations and other recorded data show that students are currently unsure of how to utilize this new technology, which will help guide future refinement of AI components within the VR environment. © 2023 by ASME.},
keywords = {Artificial intelligence, E-Learning, Education computing, Engineering education, Fluid mechanics, Generative AI, generative artificial intelligence, GPT, High educations, Instructional support, Laboratories, Laboratory class, Laboratory experiments, Physical laboratory, Professional aspects, Students, Support systems, Thermal fluids, Virtual Reality, Virtual-reality environment},
pubstate = {published},
tppubtype = {inproceedings}
}
Physical laboratory experiments have long been the cornerstone of higher education, providing future engineers practical real-life experience invaluable to their careers. However, demand for laboratory time has exceeded physical capabilities. Virtual reality (VR) labs have proven to retain many benefits of attending physical labs while also providing significant advantages only available in a VR environment. Previously, our group had developed a pilot VR lab that replicated six (6) unique thermal-fluids lab experiments developed using the Unity game engine. One of the VR labs was tested in a thermal-fluid mechanics laboratory class with favorable results, but students highlighted the need for additional assistance within the VR simulation. In response to this testing, we have incorporated an artificial intelligence (AI) assistant to aid students within the VR environment by developing an interaction model. Utilizing the Generative Pre-trained Transformer 4 (GPT-4) large language model (LLM) and augmented context retrieval, the AI assistant can provide reliable instruction and troubleshoot errors while students conduct the lab procedure to provide an experience similar to a real-life lab assistant. The updated VR lab was tested in two laboratory classes and while the overall tone of student response to an AI-powered assistant was excitement and enthusiasm, observations and other recorded data show that students are currently unsure of how to utilize this new technology, which will help guide future refinement of AI components within the VR environment. © 2023 by ASME.