Title: Assessment of mental workload in a sorting task: a game-based approach

Authors: Padinharakam Lasin; Vinay V. Panicker; Francis J. Emmatty

Addresses: Industrial Engineering Laboratory, Department of Mechanical Engineering, National Institute of Technology Calicut, Kozhikode, Kerala – 673 601, India ' Industrial Engineering Laboratory, Department of Mechanical Engineering, National Institute of Technology Calicut, Kozhikode, Kerala – 673 601, India ' Industrial Engineering Laboratory, Department of Mechanical Engineering, National Institute of Technology Calicut, Kozhikode, Kerala – 673 601, India

Abstract: Human factors are ergonomics practise of designing tools and techniques for people within their physical and cognitive capabilities and limitations. As technology has improved during the last few decades, more research has been done on how to maximise the efficiency of human-machine interaction. The mental workload is one of the major psychological factors that affect the productivity of the worker. Mental workload describes the amount of mental effort needed to invest in executing a task. Most of the research work in modelling mental workload has mainly produced theory-driven models. This study aims to assess the influence of the factors on mental workload in a sorting task using a game-based approach. A simulation game-based approach is applied to a subjective assessment of mental workload in a sorting task. With the results obtained, analyses have been carried out based on age group, time window, gender, subject group, and colour.

Keywords: mental workload; MWL; subjective evaluation; game-based approach; sorting task.

DOI: 10.1504/IJISE.2023.129755

International Journal of Industrial and Systems Engineering, 2023 Vol.43 No.4, pp.529 - 554

Received: 07 Aug 2020
Accepted: 15 May 2021
Published online: 24 Mar 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article