Literature Review on the Effect of Colors on Human Performance: The Integration of Mental Workload Analysis in Human Systems Design in Engineering Management

Literature Review on the Effect of Colors on Human Performance: The Integration of Mental Workload Analysis in Human Systems Design in Engineering Management

    Presenter(s)

    Joshua Maltese, Esther Omotola Adeyemi

    Comments

    Presentation: 1:40-2:00 p.m., Jessie Hathcock Hall 101

    Description

    Experts have researched how color perception influences the human brain's physiological response when focusing on cognitive tasks. Colors have been linked to a person's subjective alertness and ability to perform well on tasks requiring attention. This suggests that the colors a person is exposed to can impact their mental state and performance in cognitive activities. The color-in-context theory suggests that color meanings and effects are specific to the context, and the same color can have different and even opposite meanings in different contexts. The assessment of mental workload is an essential aspect of measuring workload, and one of the methods used is physiological measurement. The pupil of the eye is known to react to color changes, making it a valuable tool in workload measurement. However, using distinct colors rather than the conventional monochrome display offers a better advantage in monitoring pupil response to changes in color. By utilizing different colors, observing and measuring changes in the pupil's response becomes more accessible, making it a more effective means of monitoring mental workload. The primary aim of this literature review is to gain a comprehensive understanding of the current research on the impact of color on the operators' workload. Based on this understanding, an experiment will be developed using MATB simulation software to test how different colors affect operators' workload. The project aims to advance knowledge in engineering management by understanding the impact of color on operator workload. The results will help develop guidelines for selecting colors in systems and processes involving human operators, leading to optimized performance, reduced errors, and improved safety. Ultimately, the research aims to develop systems better suited to users' needs, improving overall performance and reducing accidents and errors.

    Publication Date

    4-19-2023

    Project Designation

    Graduate Research

    Primary Advisor

    Sharon Bommer, Philip Appiah-Kubi

    Primary Advisor's Department

    Engineering Management, Systems, and Technology

    Keywords

    Stander Symposium, School of Engineering

    Institutional Learning Goals

    Scholarship; Critical Evaluation of Our Times; Practical Wisdom

    Literature Review on the Effect of Colors on Human Performance: The Integration of Mental Workload Analysis in Human Systems Design in Engineering Management

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