Exploring Influences of Design and Environmental Factors on Recognizing Teacher's Facial Expressions in Educational VR

Yu Han, Jie Hao, Yu Miao, Yue Liu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Teachers' facial expressions significantly influence students' willingness to learn. However, insufficient resolution of current consumer head-mounted displays leads to difficulties in capturing nuances of virtual teachers in VR, which may be solved by scaling up the heads of virtual teachers. In this paper, we explore the effects of design and environmental factors on the ideal head scales for recognizing the virtual teacher's facial expressions. Our results show that the facial visualization style and the distance from the user to the virtual teacher are important factors affecting facial expression recognition, which could contribute to the design and optimization of educational VR.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages607-608
Number of pages2
ISBN (Electronic)9798350348392
DOIs
Publication statusPublished - 2023
Event2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 - Shanghai, China
Duration: 25 Mar 202329 Mar 2023

Publication series

NameProceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023

Conference

Conference2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
Country/TerritoryChina
CityShanghai
Period25/03/2329/03/23

Keywords

  • Applied computing
  • Education
  • Empirical studies in HCI
  • Human computer interaction (HCI)
  • Human-centered computing
  • Interactive learning environments

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