Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools

Thanyadit, Santawat; Heintz, Matthias; Law, Effie Lai-Chong

Abstract

Remote conferencing systems are increasingly used to supplement or even replace in-person teaching. However, prevailing conferencing systems restrict the teacher’s representation to a webcam live-stream, hamper the teacher’s use of body-language, and result in students’ decreased sense of co-presence and participation. While Virtual Reality (VR) systems may increase student engagement, the teacher may not have the time or expertise to conduct the lecture in VR. To address this issue and bridge the requirements between students and teachers, we have developed Tutor In-sight, a Mixed Reality (MR) avatar augmented into the student’s workspace based on four design requirements derived from the existing literature, namely: integrated virtual with physical space, improved teacher’s co-presence through avatar, direct attention with auto-generated body language, and usable workfow for teachers. Two user studies were conducted from the perspectives of students and teachers to determine the advantages of Tutor In-sight in comparison to two existing conferencing systems, Zoom (video-based) and Mozilla Hubs (VR-based). The participants of both studies favoured Tutor In-sight. Among others, this main fnding indicates that Tutor Insight satisfed the needs of both teachers and students. In addition, the participants’ feedback was used to empirically determine the four main teacher requirements and the four main student requirements in order to improve the future design of MR educational tools.

Citation

Thanyadit, S., Heintz, M., & Law, E. L.-C. (2023, April). Tutor In-sight: Guiding and Visualizing Students Attention with Mixed Reality Avatar Presentation Tools. Presented at CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg, Germany

• Presentation Conference Type: Conference Paper (published)
• Conference Name: CHI '23: CHI Conference on Human Factors in Computing Systems
• Start Date: Apr 23, 2023
• End Date: Apr 28, 2023
• Acceptance Date: Mar 1, 2023
• Online Publication Date: Apr 19, 2023
• Publication Date: 2023-04
• Deposit Date: Mar 1, 2023
• Publicly Available Date: Mar 2, 2023
• Pages: 1-20
• DOI: https://doi.org/10.1145/3544548.3581069
• Public URL: https://durham-repository.worktribe.com/output/1134061