Enhancing User Gaze Prediction in Monitoring Tasks: The Role of Visual Highlights
Authors: 
Zekun Wu, 
Anna Maria FeitAuthors Info & Claims
Article No.: 37, Pages 1 - 3
Abstract
This study examines the role of visual highlights in guiding user attention in drone monitoring tasks, employing a simulated interface for observation. The experiment results show that such highlights can significantly expedite the visual attention on the corresponding area. Based on this observation, we leverage both the temporal and spatial information in the highlight to develop a new saliency model: the highlight-informed saliency model (HISM), to infer the visual attention change in the highlight condition. Our findings show the effectiveness of visual highlights in enhancing user attention and demonstrate the potential of incorporating these cues into saliency prediction models.
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- Enhancing User Gaze Prediction in Monitoring Tasks: The Role of Visual Highlights
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June 2024
525 pages
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Association for Computing Machinery
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Published: 04 June 2024
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- Refereed limited
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- DFG grant 389792660
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ETRA '24: The 2024 Symposium on Eye Tracking Research and Applications
June 4 - 7, 2024
Glasgow, United Kingdom
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Overall Acceptance Rate 69 of 137 submissions, 50%
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