Evaluating and modeling the effects of brightness on visual attention using multiple object tracking method

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dc.authoridYagimli, Mustafa/0000-0003-4113-8308
dc.contributor.authorYazgan, Mehmet Toyanc
dc.contributor.authorYagimli, Mustafa
dc.contributor.authorOzubko, Jason
dc.date.accessioned2024-06-13T20:18:14Z
dc.date.available2024-06-13T20:18:14Z
dc.date.issued2023
dc.departmentİstanbul Gedik Üniversitesi
dc.description.abstractThis article systematically evaluates and models how brightness affects performance in Multiple Object Tracking (MOT) within screen-based environments. MOT proficiency is essential across various fields, and comprehending the elements that impact MOT performance holds significance for occupational health and safety. While previous studies have scrutinized the influence of brightness on object recognition, its repercussions on MOT performance in screen-based environments remain comparatively less comprehended. This research aims to bridge this gap by delving into the distinct and combined impacts of brightness-related factors on MOT performance. Additionally, it seeks to construct a computational model that can forecast MOT performance across diverse brightness conditions. The outcomes of this study will offer valuable insights into core psychological processes, thereby steering the development of more efficient visual displays to enhance occupational health and safety.Our findings revealed a significant correlation between brightness levels and MOT performance, with optimal tracking observed at medium brightness levels. Additionally, complex object motion patterns were found to exacerbate the challenges of tracking in low brightness settings. These insights have direct implications for screen-based interfaces, suggesting the need for adaptive brightness settings based on the content's complexity and the user's task.
dc.identifier.doi10.1080/15980316.2023.2289826
dc.identifier.issn1598-0316
dc.identifier.issn2158-1606
dc.identifier.scopus2-s2.0-85179665139
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1080/15980316.2023.2289826
dc.identifier.urihttps://hdl.handle.net/11501/1258
dc.identifier.wosWOS:001125257600001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofJournal of Information Display
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectVisual Attention
dc.subjectBrightness
dc.subjectMultiple Object Tracking
dc.subjectMot
dc.subjectOccupational Health
dc.subjectPerformance
dc.subjectContrast
dc.subjectTargets
dc.titleEvaluating and modeling the effects of brightness on visual attention using multiple object tracking method
dc.typeArticle

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