Evaluating Attention Management Systems for Dynamic Monitoring Tasks

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A4 Artikkeli konferenssijulkaisussa

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en

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6

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CHIWORK 2025 - Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work

Abstract

In many work environments, operators must monitor multiple information sources, quickly identify critical situations, and respond appropriately. Attention Management Systems (AMS) are designed to help users coordinate attention in such contexts. However, while most AMS research has focused on multitasking and task-switching, their potential to guide gaze in dynamic monitoring remains unexplored. To address this, we evaluated two AMS designs in a controlled experiment (n=15) using Senders' Dial Task: Ambient Cues and a dynamic Gaze Bubble. Although participants were more likely to follow the moving Gaze Bubble, this design led to significantly poorer performance compared to Ambient Cues and a control group without AMS assistance. Our findings show that while AMS design influences visual attention, suboptimal designs can impair task performance. Further research is needed to identify design parameters that guide attention effectively while supporting performance.

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Publisher Copyright: © 2025 Copyright held by the owner/author(s).

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Gasse, A, Lingler, A, Lorenz, M, Oulasvirta, A, Wintersberger, P & Ebel, P 2025, Evaluating Attention Management Systems for Dynamic Monitoring Tasks. in CHIWORK 2025 - Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work., 14, CHIWORK 2025 - Adjunct Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work, ACM, Annual Symposium on Human-Computer Interaction for Work, Amsterdam, Netherlands, 23/06/2025. https://doi.org/10.1145/3707640.3731920