Frisson Waves: Sharing Frisson to Create Collective Empathetic Experiences for Music Performances

Yan He, George Chernyshov, Dingding Zheng, Jiawen Han, Ragnar Thomsen, Danny Hynds, Yuehui Yang, Yun Suen Pai, Kai Kunze, Kouta Minamizawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Frisson is a feeling and a mental experience of body reactions such as shivers, tingling skin, and goosebumps. However, this sensation is not shareable naturally with others and is rarely used in live performances. We propose Frisson Waves, a real-time system to detect, trigger and share frisson in a wave-like pattern during music performances. The system consists of a physiological sensing wristband for detecting frisson and a thermo-haptic neckband for inducing frisson. We aim to improve the connectedness of audience members and performers during music performances by sharing frisson.

Original languageEnglish
Title of host publicationProceedings - SIGGRAPH Asia 2021 Emerging Technologies, SA 2021
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450386852
DOIs
Publication statusPublished - 2021 Dec 14
EventSIGGRAPH Asia 2021 Emerging Technologies - Computer Graphics and Interactive Techniques Conference - Asia, SA 2021 - Tokyo, Japan
Duration: 2021 Dec 142021 Dec 17

Publication series

NameProceedings - SIGGRAPH Asia 2021 Emerging Technologies, SA 2021

Conference

ConferenceSIGGRAPH Asia 2021 Emerging Technologies - Computer Graphics and Interactive Techniques Conference - Asia, SA 2021
Country/TerritoryJapan
CityTokyo
Period21/12/1421/12/17

Keywords

  • empathy
  • frisson haptic
  • interactive music performance
  • interoceptive interaction
  • physiological sensing

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

Fingerprint

Dive into the research topics of 'Frisson Waves: Sharing Frisson to Create Collective Empathetic Experiences for Music Performances'. Together they form a unique fingerprint.

Cite this