HKUST Computational Media and Arts Seminar Series 

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Enriching VR Experience Through Non-Visual Sensations: An Empirical Investigation Approach

9:30am - 11:00am
Rm G002, CYT building

Head-worn Virtual Reality (VR) has become prominent in recent years, endowing a host of applications in education, entertainment, skill training, creation, and so on. While visually and auditorily engaging, VR environments often lack engagement in other senses, such as feelings through the skin. In this talk, I will present our work in creating sensory illusions for VR users to better immerse themselves into VR environments. In particular, I will show how we design prototypes that allow VR users to feel wetness illusion on their fingertips and brief pain sensation on their skins. I will also demonstrate how we empirically evaluate the effects of our prototypes with VR users. Finally, I will discuss potential future directions to enrich the VR user experience through multi-sensory engagement. 

場地開放時間
Location: Rm G002, CYT building, HKUST clear water bay

Zoom meeting information

CMA seminar - week 4 - Dr. FAN Mingming
Time: Sep 27, 2021 09:30 AM Hong Kong SAR

Join Zoom Meeting
https://hkust.zoom.us/j/95611424940?pwd=ckZVd3NEdFBtNEQwT1daWkVzUDc1QT09

Meeting ID: 956 1142 4940
Passcode: cma
講者/ 表演者:
Prof. Mingming Fan
Hong Kong University of Science and Technology

Mingming Fan is an Assistant Professor in the Computational Media and Arts Thrust and an Affiliated Assistant Professor in the Department of Computer Science and Engineering at The Hong Kong University of Science and Technology (HKUST) in Guangzhou and Clear Water Bay campuses respectively. Before joining HKUST, he was a tenure-track Assistant Professor at Rochester Institute of Technology from 2019 to 2021. He received a Ph.D. from the Department of Computer Science at the University of Toronto in 2019.
 
Dr. Fan leads the Accessible & Pervasive User EXperience (APEX) Group to research in the field of Human-Computer Interaction and Accessibility. Specifically, his group applies user-centered design (UCD), AI/ML, VR/AR, visualization, sensing, and qualitative methods to 1) innovate User Experience (UX) Methodologies (e.g., Human-AI collaboration), 2) tackle Aging and Accessibility Challenges, and 3) Create Novel VR/AR Experience and Sensing Techniques. His research won Best Paper Award, Best Paper Honorable Mention Award, and Best Artifact Award from top-tier venues in HCI and Accessibility, such as ACM CHI, UbiComp, and ASSETS.

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