AirRacket: Perceptual Design of Ungrounded, Directional Force Feedback to Improve Virtual Racket Sports Experiences

要旨

We present AirRacket, perceptual modeling and design of ungrounded, directional force feedback for virtual racket sports. Using compressed air propulsion jets to provide directional impact forces, we iteratively designed for three popular sports that span a wide range of force magnitudes: ping-pong, badminton, and tennis. To address the limited force magnitude of ungrounded force feedback technologies, we conducted a perception study which discovered the novel illusion that users perceive larger impact force magnitudes with longer impact duration, by an average factor of 2.57x. Through a series of formative, perceptual, and user experience studies with a combined total of 72 unique participants, we explored several perceptual designs using force magnitude scaling and duration scaling methods to expand the dynamic range of perceived force magnitude. Our user experience evaluation showed that perceptual designs can significantly improve realism and preference vs. physics-based designs for ungrounded force feedback systems.

受賞
Best Paper
著者
Ching-Yi Tsai
National Taiwan University, Taipei, Taiwan
I-Lun Tsai
National Taiwan University, Taipei, Taiwan
Chao-Jung Lai
National Taiwan University, Taipei, Taiwan
Derrek Chow
University of Waterloo, Waterloo, Ontario, Canada
Lauren Wei
University of Maryland, College Park, Maryland, United States
Lung-Pan Cheng
National Taiwan University, Taipei, Taiwan
Mike Y.. Chen
National Taiwan University, Taipei, Taiwan
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3502034

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Improving VR Experiences

290
5 件の発表
2022-05-04 01:15:00
2022-05-04 02:30:00