Neuroergonomics on the Go: An Evaluation of the Potential of Mobile EEG for Workplace Assessment and Design

• Published in: Human factors Vol. 65; no. 1; pp. 86 - 106
• Main Authors: Wascher, Edmund, Reiser, Julian, Rinkenauer, Gerhard, Larrá, Mauro, Dreger, Felix A., Schneider, Daniel, Karthaus, Melanie, Getzmann, Stephan, Gutberlet, Marie, Arnau, Stefan
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.02.2023; Human Factors and Ergonomics Society
• Subjects: Cognition - physiology; Cognitive ability; Data processing; EEG; Electroencephalography; Ergonomics; Evaluation; Evoked Potentials - physiology; Fatigue; Humans; Information processing; Neuroergonomics; Taskload; Workflow; Workplace; information processing; mobile EEG; neuroergonomics; mental states
• ISSN: 0018-7208; 1547-8181
• DOI: 10.1177/00187208211007707

Objective We demonstrate and discuss the use of mobile electroencephalogram (EEG) for neuroergonomics. Both technical state of the art as well as measures and cognitive concepts are systematically addressed. Background Modern work is increasingly characterized by information processing. Therefore, the examination of mental states, mental load, or cognitive processing during work is becoming increasingly important for ergonomics. Results Mobile EEG allows to measure mental states and processes under real live conditions. It can be used for various research questions in cognitive neuroergonomics. Besides measures in the frequency domain that have a long tradition in the investigation of mental fatigue, task load, and task engagement, new approaches—like blink-evoked potentials—render event-related analyses of the EEG possible also during unrestricted behavior. Conclusion Mobile EEG has become a valuable tool for evaluating mental states and mental processes on a highly objective level during work. The main advantage of this technique is that working environments don’t have to be changed while systematically measuring brain functions at work. Moreover, the workflow is unaffected by such neuroergonomic approaches.