Learners Learn More and Instructors Track Better with Real-time Gaze Sharing

Gahyun Sung; Tianyi Feng; Bertrand Schneider

doi:10.1145/3449208

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Learners Learn More and Instructors Track Better with Real-time Gaze Sharing

Journal article

Peer reviewed

Learners Learn More and Instructors Track Better with Real-time Gaze Sharing

Gahyun Sung, Tianyi Feng and Bertrand Schneider

Proceedings of the ACM on human-computer interaction, Vol.5(CSCW1), pp.1-23

04/22/2021

DOI: 10.1145/3449208

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Abstract

Shared gaze visualizations, where the real-time gaze location of group members is shared with one another, have become increasingly studied over the last decade by HCI researchers. Shared gaze studies so far have found improved outcomes and better collaboration for peer collaborators. Less is known, however, about how gaze sharing may aid learners and instructors. In our study, an instructor teaches a learner how to assemble and program a simple microcontroller, communicating either through a webcam feed (webcam condition), a field-of-view video feed (HMC condition), or a field-of-view video feed with a gaze location pointer (gaze condition). We find that learning gain is highest in the gaze condition, especially for low achievers. Moreover, instructors predict learner post-test scores more accurately with gaze visualizations, suggesting gaze sharing can help instructors track the cognitive state of the learner. This effect was also most salient for low achievers. We find that in the HMC condition that only lacked this single dot, many of the benefits for both learning and teaching were lost. The paper concludes with discussions on how gaze visualization may support learning and teaching, and on the tool's limitations and conditions for usefulness.

Applied computing

Collaborative and social computing

Education

Empirical studies in collaborative and social computing

Human computer interaction (HCI)

Human-centered computing

Details

Title: Subtitle: Learners Learn More and Instructors Track Better with Real-time Gaze Sharing
Creators: Gahyun Sung - Harvard University Press
Tianyi Feng - Harvard University Press
Bertrand Schneider - Harvard University Press
Resource Type: Journal article
Publication Details: Proceedings of the ACM on human-computer interaction, Vol.5(CSCW1), pp.1-23
Publisher: ACM
DOI: 10.1145/3449208
ISSN: 2573-0142
eISSN: 2573-0142
Number of pages: 23
Language: English
Date published: 04/22/2021
Academic Unit: Psychological and Quantitative Foundations
Record Identifier: 9984701734502771

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