Measuring cognitive workload in automated knowledge work environments: a systematic literature review

IF 2.4 3区工程技术 Q2 ENGINEERING, INDUSTRIAL

Cognition Technology & Work Pub Date : 2022-08-17 DOI:10.1007/s10111-022-00708-0

Shree Frazier, Brandon J. Pitts, S. McComb

引用次数: 1

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测量自动化知识工作环境中的认知工作量:系统的文献综述

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来源期刊

Cognition Technology & Work ENGINEERING, INDUSTRIAL-

CiteScore

6.90

自引率

7.70%

发文量

审稿时长

>12 weeks

期刊介绍： Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in particular, how human cognition affects, and is affected by, work and working conditions. The aim is to publish research that normally resides on the borderline between people, technology, and organisations. Including how people use information technology, how experience and expertise develop through work, and how incidents and accidents are due to the interaction between individual, technical and organisational factors. The target is thus the study of people at work from a cognitive systems engineering and socio-technical systems perspective. The most relevant working contexts of interest to CTW are those where the impact of modern technologies on people at work is particularly important for the users involved as well as for the effects on the environment and plants. Modern society has come to depend on the safe and efficient functioning of a multitude of technological systems as diverse as industrial production, transportation, communication, supply of energy, information and materials, health and finance.