IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Considerations of the Mental Workload in Socio-Technical Systems in the Manufacturing Industry: A Literature Review

Considerations of the Mental Workload in Socio-Technical Systems in the Manufacturing Industry: A Literature Review
View Sample PDF
Author(s): Manuel Alejandro Barajas Bustillos (Autonomous University of Ciudad Juárez, Mexico), Aide Aracely Maldonado-Macías (Autonomous University of Ciudad Juárez, Mexico), Jorge Luis García-Alcaraz (Universidad Autónoma de Ciudad Juárez, Mexico), Juan Luis Hernández Arellano (Autonomous University of Ciudad Juárez, Mexico) and Liliana Avelar Sosa (Autonomous University of Ciudad Juárez, Mexico)
Copyright: 2022
Pages: 19
Source title: Research Anthology on Changing Dynamics of Diversity and Safety in the Workforce
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-2405-6.ch005

Purchase


Abstract

As cognitive tasks have displaced physical tasks in today's manufacturing industry, this sector can demand high levels of mental workload from workers. In certain situations, there is a high cognitive load, which affects operators reducing their attention to the task and causing them mental fatigue and distractions, resulting in errors that generate economic costs or even injuries to workers. This literature review aims to provide a comprehensive understanding the use of mental workload in the manufacturing sector. The methodology consisted of conducting a search in four databases. In the search, a combination of keywords was used, classifying each journal according to the mental workload evaluation means, the type of evaluation, and the area of application. Articles not focusing on the manufacturing area were discarded. Of the total of 3839 articles found, 12 have been selected. Regarding the methods used for mental load assessment, the analytic techniques were found to be the most frequently used.

Related Content

Ethel N. Abe, Isaac Idowu Abe, Olalekan Adisa. © 2022. 21 pages.
Isaac Idowu Abe. © 2022. 14 pages.
Kalpana Sahoo. © 2022. 17 pages.
Elvira Nica, Ana-Maria Iulia Şanta, Katarina Valaskova, Maria Gabriela Horga. © 2022. 13 pages.
Manuel Alejandro Barajas Bustillos, Aide Aracely Maldonado-Macías, Jorge Luis García-Alcaraz, Juan Luis Hernández Arellano, Liliana Avelar Sosa. © 2022. 19 pages.
J. Jacob Jenkins. © 2022. 13 pages.
Kuda Mupepi, Tatenda Mupepi, Clara Mupepi. © 2022. 16 pages.
Body Bottom