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Evaluating Preattentive Processing in Game Settings with Consistent Visual Scenes
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science.ORCID iD: 0000-0001-6745-4398
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science. student.
2025 (English)In: Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP: Volume 1, SciTePress, 2025, p. 464-471Conference paper, Published paper (Refereed)
Abstract [en]

Preattentive processing refers to the human brain’s ability to rapidly detect specific visual features before conscious awareness. This study evaluates the effectiveness of preattentive processing in identifying objects with distinct features—motion, color, and shape—within controlled 3D game-like environments. Participants were shown a series of short game runs, each containing an object designed with one of these preattentive attributes, and were tasked with identifying these objects within a 250-millisecond window, the time frame optimal for preattentive processing. To minimize confounding variables, the visual complexity of the scenes was kept consistent, ensuring a uniform look and feel across trials. Results reveal that motion and color are highly effective in guiding attention, with participants achieving near-perfect accuracy. In contrast, shape detection was notably less accurate, with greater variability in responses, suggesting that shape may be less effective as a preatte ntive feature in visually dense 3D environments. Additionally, participants with gaming experience demonstrated better performance in shape-based tasks, hinting at the influence of prior visual processing experience. These findings contribute to understanding how visual complexity and uniformity impact preattentive processing in digital environments, with practical implications for designing visual tasks, game environments, and interfaces that guide user attention more effectively.

Place, publisher, year, edition, pages
SciTePress, 2025. p. 464-471
Keywords [en]
Preattentive Processing, Video Games
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:bth-27669DOI: 10.5220/0013128700003912Scopus ID: 2-s2.0-105001992238ISBN: 9789897587283 (print)OAI: oai:DiVA.org:bth-27669DiVA, id: diva2:1947069
Conference
9th International Conference on Human Computer Interaction Theory and Applications
Funder
Knowledge Foundation, 20210077Available from: 2025-03-24 Created: 2025-03-24 Last updated: 2025-09-30Bibliographically approved

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Jusufi, Ilir

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
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More languages
Output format
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  • text
  • asciidoc
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