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Attentional Synchrony in Films: A Window to Visuospatial Characterization of Events
School of Informatics, University of Skövde, Skövde, Sweden.
German Aerospace Center (DLR), Germany.
School of Informatics, University of Skövde, Skövde, Sweden.
Örebro University, School of Science and Technology.ORCID iD: 0000-0002-6290-5492
2022 (English)In: Proceedings SAP 2022: ACM Symposium on Applied Perception. September 22 – 23, 2022, Association for Computing Machinery , 2022Conference paper, Published paper (Refereed)
Abstract [en]

The study of event perception emphasizes the importance of visuospatial attributes in everyday human activities and how they influence event segmentation, prediction and retrieval. Attending to these visuospatial attributes is the first step toward event understanding, and therefore correlating attentional measures to such attributes would help to further our understanding of event comprehension. In this study, we focus on attentional synchrony amongst other attentional measures and analyze select film scenes through the lens of a visuospatial event model. Here we present the first results of an in-depth multimodal (such as head-turn, hand-action etc.) visuospatial analysis of 10 movie scenes correlated with visual attention (eye-tracking 32 participants per scene). With the results, we tease apart event segments of high and low attentional synchrony and describe the distribution of attention in relation to the visuospatial features. This analysis gives us an indirect measure of attentional saliency for a scene with a particular visuospatial complexity, ultimately directing the attentional selection of the observers in a given context.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2022.
Keywords [en]
Human-interaction, Visuoauditory cues, Attention, Eye-tracking
National Category
Computer Sciences Human Computer Interaction Psychology Media Studies
Research subject
Computer Science; Psychology; Media and Communication Studies
Identifiers
URN: urn:nbn:se:oru:diva-101260DOI: 10.1145/3548814.3551466ISBN: 9781450394550 (print)OAI: oai:DiVA.org:oru-101260DiVA, id: diva2:1696079
Conference
ACM Symposium on Applied Perception 2022 (SAP'22), Virtual conference, September 22-23, 2022
Available from: 2022-09-15 Created: 2022-09-15 Last updated: 2022-09-27Bibliographically approved

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Bhatt, Mehul

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CiteExportLink to record
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  • apa
  • ieee
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