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Attentional synchrony in films: A window to visuospatial characterization of events
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab (ILAB))ORCID iD: 0000-0003-0517-8468
German Aerospace Center (DLR), Germany.
Örebro University, Sweden.ORCID iD: 0000-0002-6290-5492
University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. (Interaction Lab (ILAB))ORCID iD: 0000-0002-1227-6843
2022 (English)In: Proceedings SAP 2022: ACM Symposium on Applied Perception September 22 – 23, 2022 / [ed] Stephen N. Spencer, Association for Computing Machinery (ACM), 2022, article id 8Conference 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 (ACM), 2022. article id 8
Keywords [en]
Visuoauditory cues, Human-interaction, Eye-tracking, Attention
National Category
Human Computer Interaction Media Studies
Research subject
Interaction Lab (ILAB)
Identifiers
URN: urn:nbn:se:his:diva-22205DOI: 10.1145/3548814.3551466Scopus ID: 2-s2.0-85139425610ISBN: 978-1-4503-9455-0 OAI: oai:DiVA.org:his-22205DiVA, id: diva2:1730683
Conference
SAP 2022, ACM Symposium on Applied Perception September 22 – 23, 2022, TBC, USA
Note

CC BY 4.0

Available from: 2023-01-25 Created: 2023-01-25 Last updated: 2023-05-04Bibliographically approved

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Nair, VipulBhatt, MehulHemeren, Paul

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