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

Abstract

This 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.

KEYWORDS:

• visual attention
• brightness
• Multiple Object Tracking
• MOT
• occupational health

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Mehmet Toyanc Yazgan

Mehmet Toyanc Yazgan is currently pursuing his doctoral studies at Istanbul Gedik University, where he specializes in Occupational Health and Safety. Prior to this, he completed his master's degree in Earthquake and Structural Engineering at Gebze Institute of Technology.

Mustafa Yağımlı

Mustafa Yağımlı is indeed associated with Istanbul Gedik University as a faculty member, serving as the Head of the Department of Occupational Health and Safety. Dr. Mustafa Yağımlı's interests span across Occupational Health and Safety, Electrical Engineering, and Electronics.

Jason Ozubko

Jason Ozubko is affiliated with SUNY Geneseo in the Department of Psychology, located in Geneseo, New York, USA. Dr. Ozubko's research delves into the intricate workings of human memory, exploring both its cognitive and neuropsychological aspects.