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Guiding Visual Attention on 2D Screens: Effects of Gaze Cues from Avatars and Humans
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-8543-3774
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-6571-0623
2023 (English)In: Proceedings - SUI 2023: ACM Symposium on Spatial User Interaction, Association for Computing Machinery (ACM) , 2023, article id 17Conference paper, Published paper (Refereed)
Abstract [en]

Guiding visual attention to specific parts of an interface is essential. One powerful tool for guiding attention is gaze cues, that direct visual attention in the same direction as a presented gaze. In this paper, we explored how to direct users' visual attention on 2D screens using gaze cues from avatars and humans. For this, we conducted a lab experiment (N = 30) based on three independent variables: (1) stimulus shown either as avatars or human faces, (2) target direction with a target appearing left or right from a stimulus, and (3) gaze validity indicating whether a stimulus' gaze was directed towards a target (valid gaze) or not (invalid gaze). Our results show that participants' total and average fixation on a target lasted longer in the presence of the human image than the avatar stimulus when a target appeared on the right side and when a stimulus' gaze was towards the target. Moreover, participants' average fixation was longer on the human than avatar stimulus gazing in the opposite direction from a target than towards it.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM) , 2023. article id 17
Keywords [en]
attention guidance, gaze cues, virtual avatars, visual attention
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-349825DOI: 10.1145/3607822.3614529ISI: 001138802600004Scopus ID: 2-s2.0-85176128919OAI: oai:DiVA.org:kth-349825DiVA, id: diva2:1881638
Conference
2023 ACM Symposium on Spatial User Interaction, SUI 2023, Sydney, Australia, Oct 13 2023 - Oct 15 2023
Note

Part of ISBN 9798400702815

QC 20240703

Available from: 2024-07-03 Created: 2024-07-03 Last updated: 2024-07-03Bibliographically approved

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Viberg, OlgaMatviienko, Andrii

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