On Task and in Sync: Examining the Relationship between Gaze Synchrony and Self-Reported Attention During Video Lecture Learning
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Abstract (arXiv)
Successful learning depends on learners' ability to sustain attention, which is particularly challenging in online education due to limited teacher interaction. A potential indicator for attention is gaze synchrony, demonstrating predictive power for learning achievements in video-based learning in controlled experiments focusing on manipulating attention. This study (N=84) examines the relationship between gaze synchronization and self-reported attention of learners, using experience sampling, during realistic online video learning. Gaze synchrony was assessed through Kullback-Leibler Divergence of gaze density maps and MultiMatch algorithm scanpath comparisons. Results indicated significantly higher gaze synchronization in attentive participants for both measures and self-reported attention significantly predicted post-test scores. In contrast, synchrony measures did not correlate with learning outcomes. While supporting the hypothesis that attentive learners exhibit similar eye movements, the direct use of synchrony as an attention indicator poses challenges, requiring further research on the interplay of attention, gaze synchrony, and video content type.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Mar 2024.
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Citing papers per year: 2024: 1; 2025: 1; 2026: 2.
4 papers.
- 2024From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with AI Video Assistantcited by 3
- 2025Assessing Medical Training Skills via Eye and Head Movementscited by 0
- 2026Safeguarding Privacy: Privacy-Preserving Detection of Mind Wandering and Disengagement Using Federated Learning in Online Educationcited by 0
- 2026Gaze-to-text Generation: Beyond Categorical Decoding of Human Attentioncited by 0
- 2026Gaze-to-text Generation: Beyond Categorical Decoding of Human Attention27 Jul 2026
- 2026Safeguarding Privacy: Privacy-Preserving Detection of Mind Wandering and Disengagement Using Federated Learning in Online Education10 Feb 2026
- 2025Assessing Medical Training Skills via Eye and Head Movements12 May 2025
- 2024From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with AI Video Assistant24 Sep 2024