Assessment of mental workload in a sorting task: a game-based approach. (23rd March 2023)

• Record Type: Journal Article
• Authors: Lasin, Padinharakam; Panicker, Vinay V.; Emmatty, Francis J.
• Is Part Of: International journal of industrial and systems engineering. Volume 43:Number 4(2023)
• Page Start: 529
• Page End: 554
• Publication Date: 2023-03-23
• Subjects: mental workload -- MWL -- subjective evaluation -- game-based approach -- sorting task; Systems engineering -- Periodicals; Industrial engineering -- Periodicals; 620.001171
• Languages: English
• ISSNs: 1748-5037

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.