Exploring collective physiology sharing as social cues to support engagement in online learning

Jiawen Han, Chi Lan Yang, George Chernyshov, Zhuoqi Fu, Reiya Horii, Takuji Narumi, Kai Kunze

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

Abstract

Insufficient social cues between distributed learners in online learning could result in lack of engagement and social bonds. With the development of wearable sensing, sharing physiological data can be used to enhance mutual understanding and connectedness among sharers. Our work aims to explore the potential of sharing heart rate (HR) and heart rate variability (HRV) collected from distributed learners to enhance their online learning experiences. We implemented a physiological streaming system and conducted a field study with 11 learners in online classes. This paper describes the study and discusses our interview findings by contrasting the influence of visualized collective physiological data from viewpoints of data contributors and viewers. Our exploratory results suggest streaming collective HR and HRV from multiple distributed learners could be used in online classes to improve engagement and sense of community.

Original languageEnglish
Title of host publicationProceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia, MUM 2021
PublisherAssociation for Computing Machinery
Pages192-194
Number of pages3
ISBN (Electronic)9781450386432
DOIs
Publication statusPublished - 2021 May 12
Event20th International Conference on Mobile and Ubiquitous Multimedia, MUM 2021 - Virtual, Online, Belgium
Duration: 2021 Dec 52021 Dec 8

Publication series

NameACM International Conference Proceeding Series

Conference

Conference20th International Conference on Mobile and Ubiquitous Multimedia, MUM 2021
Country/TerritoryBelgium
CityVirtual, Online
Period21/12/521/12/8

Keywords

  • engagement
  • online learning system
  • physiological sensing
  • visualization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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