Frisson Waves

Author:

He Yan1,Chernyshov George1,Han Jiawen1,Zheng Dingding1,Thomsen Ragnar1,Hynds Danny1,Liu Muyu2,Yang Yuehui1,Ju Yulan1,Pai Yun Suen1,Minamizawa Kouta1,Kunze Kai1,Ward Jamie A.3

Affiliation:

1. Keio University Graduate School of Media Design, Japan

2. Cleveland Institute of Music, United States

3. Goldsmiths, University of London, United Kingdom

Abstract

Frisson is the feeling and experience of physical reactions such as shivers, tingling skin, and goosebumps. Using entrainment through facilitating interpersonal transmissions of embodied sensations, we present "Frisson Waves" with the aim to enhance live music performance experiences. "Frisson Waves" is an exploratory real-time system to detect, trigger and share frisson in a wave-like pattern over audience members during music performances. The system consists of a physiological sensing wristband for detecting frisson and a thermo-haptic neckband for inducing frisson. In a controlled environment, we evaluate detection (n=19) and triggering of frisson (n=15). Based on our findings, we conducted an in-the-wild music concert with 48 audience members using our system to share frisson. This paper summarizes a framework for accessing, triggering and sharing frisson. We report our research insights, lessons learned, and limitations of "Frisson Waves".

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

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1. Sharing Frissons among Online Video Viewers: Exploring the Design of Affective Communication for Aesthetic Chills;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. GrooveMeter: Enabling Music Engagement-aware Apps by Detecting Reactions to Daily Music Listening via Earable Sensing;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Virtual Journalist: Measuring and Inducing Cultural Empathy by Visualizing Empathic Perspectives in VR;2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct);2023-10-16

4. Efficient Modeling and Estimation of Group Music and Dance Happiness via Intelligent Wearable Devices;International Journal of Computational Intelligence Systems;2023-05-09

5. Towards Enhancing a Recorded Concert Experience in Virtual Reality by Visualizing the Physiological Data of the Audience;Augmented Humans Conference;2023-03-12

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