Keynote
Presenter:
Prof. Kazuhiko Hamamoto
Director General, Chancellor Office
Dept. of Information Media Technology
School of Information Science and Technology
Tokai University
Title:
Relationship between VR sickness, gaze, and autonomic nervous activity in VR
Abstract:
It is said that image/virtual reality (VR) sickness is suppressed when there is a fixation point (gazing point) in the image. In addition, when the fixation point is moving, it is known that the continued gazing reduces sickness. However, the mechanism of the shift of the fixation point and the suppression effect of VR sickness is not clearly understood. Therefore, in this study, the relationship between gaze shift and VR sickness was investigated in the case where the fixation point moves in a specific manner, based on a questionnaire and the function of the autonomic nervous system. The results showed that VR sickness increases when the difference between the fixation point and gaze increases, and that the coefficient of variation of the parasympathetic nervous system tends to be less than 0.35 at this time. These results could be used to promote safe VR use.
Biography:
He received the Bachelor’s, Master’s, and Ph.D. degrees in engineering from Tokyo University of Agriculture and Technology in 1989, 1991, and 1994, respectively. He has been a Professor in the Department of Information Media Technology, Tokai University, since 2009. He is currently a Director General of Chancellor Office, Tokai University.
His current research interests include information design and biomedical engineering. Especially, he is interested in medical information, human interface design, and virtual reality. He has about 60 papers published in Transactions and Journals and about 90 papers presented at international conferences. Prof. Hamamoto is a member of the IEEE and many national societies in Japan. He also takes an active part in national societies and international conferences as a committee member.
Invited Talks
Presenter:
Prof. Masaki Yamabe
Graduate School of Social Data Science
Hitotsubashi University
Title:
Bridging the Gap: A Collaborative Model for Data Visualization Design
Abstract:
In recent years, AI technology and data analysis have been increasingly employed across various fields, making it crucial to communicate vast amounts of data to the public in an easy-to-understand manner.
Data visualizations can make viewers grasp complex information quickly and intuitively, turning abstract numbers into clear, actionable insights.
Furthermore, effective data visualization fosters transparency and accountability. When data is presented clearly and understandably, it empowers the public to engage with the information, ask informed questions, and hold institutions accountable.
Despite some exceptional collaborations between scientists and artists that have developed remarkable visualizations, a general design process model has yet to be proposed, and there is no established way to share the experiential knowledge gained from such collaborations.
We developed the model and pattern languages based on observations of actual data visualization design projects carried out by data scientists and CG artists. This model promotes mutual understanding between artists and scientists, merging their expertise to not only appropriately transform data visually but also enhance the potential for discovering novel data visualization techniques and approaches.
Biography:
Dr. Masaki Yamabe is a Specially Appointed Assistant Professor at the Graduate School of Social Data Science, Hitotsubashi University. His background includes two decades of experience in information design and digital media design before obtaining a PhD from Keio University in 2023. Dr. Yamabe’s research investigates data visualization to communicate complex information to non-expert audiences effectively. He has collaborated on numerous data visualization projects, creating installations that extract narratives from large, intricate data sets. These works have been featured in various media, including TV programs by NHK, Japan’s public broadcaster, and exhibitions at the National Museum of Emerging Science and Innovation in Japan.For his contributions to the field of data visualization, Dr. Yamabe has received recognition such as the Good Design Award from the Japan Institute of Design Promotion (2022) and the Technical Prize from the Visualization Society of Japan (2022). Through innovative visualization techniques and interdisciplinary collaborations, his research explores ways to bridge the gap between scientific data and public understanding. (For more information: https://masakiyamabe.com/)
Invited Talks
Presenter:
Prof. Naohisa Sakamoto
Graduate School of System Informatics
Kobe University
Title:
Smart In-situ Visualization using Autonomous Mobile Cameras for Large-scale Numerical Simulations
Abstract:
In recent years, in-situ visualization has been attracting attention as a method to compensate for the shortcomings of visualization for large-scale numerical simulations at supercomputer scale, in which the simulation and visualization are performed simultaneously. However, it requires a lot of time and effort to confirm interesting phenomena from a large number of images visualized against the simulation results calculated with high accuracy, because the visualization method and rendering viewpoint for the process must be set in advance. In our research group, we have been conducting research on on automatic visualisation using autonomous mobile cameras that can efficiently identify and visualize spatio-temporal regions to be visualised by automatically evaluating the state changes of the simulation results. This method enables us to efficiently visualize important clues for scientific analysis and interpretation of phenomena reproduced by numerical simulations, and to reduce not only the imaging time in in-situ visualization but also the time required to obtain scientific knowledge from numerical data. We are aiming to realize smart in-situ visualization. In this talk, I will talk on my research group’s past efforts and latest research results on in-situ visualization.
Biography:
Naohisa Sakamoto is an associate professor of the Graduate School of System Informatics at Kobe University. He received the Ph.D. degree in Graduate School of Engineering from Kyoto University in 2007. From 2001 to 2003, he worked in KGT (Kubota Graphics Technology) in Japan. His research interests include scientific visualization and visual analytics for Big Data. He is a member of the Institute of Electronics, Information and Communication Engineers, the Visualization Society of Japan, Japan Society for Simulation Technology, Association for Computing Machinery, and the IEEE Computer Society.
For more info: http://www2.kobe-u.ac.jp/~naohisas/