Development and validation of a behavioural video coding scheme for detecting mental workload in manual assembly

Manual assembly in the future Industry 4.0 workplace will put high demands on operators' cognitive processing. The development of mental workload (MWL) measures therefore looms large. Physiological gauges such as electroencephalography (EEG) show promising possibilities, but still lack sufficie...

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Veröffentlicht in:Ergonomics Jg. 64; H. 1; S. 78 - 102
Hauptverfasser: Van Acker, Bram B., Parmentier, Davy D., Conradie, Peter D., Van Hove, Stephanie, Biondi, Alessandro, Bombeke, Klaas, Vlerick, Peter, Saldien, Jelle
Format: Journal Article
Sprache:Englisch
Veröffentlicht: England Taylor & Francis 2021
Taylor & Francis LLC
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Abbreviations
Aeronautics
Assembly
behavioural video coding
Coding
Cognitive ability
EEG
Electroencephalography
Eye movements
Frames per second
Freezing
Gauges
Information processing
Infrared spectroscopy
Infrared tracking
measurement
Mental workload
Near infrared radiation
Physiology
Redesign
Reliability analysis
Software reliability
Taskload
Triangulation
validation
Workload
Workloads
assembly
behavioural video coding
Mental workload
measurement
validation
ISSN:0014-0139, 1366-5847, 1366-5847
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Zusammenfassung:Manual assembly in the future Industry 4.0 workplace will put high demands on operators' cognitive processing. The development of mental workload (MWL) measures therefore looms large. Physiological gauges such as electroencephalography (EEG) show promising possibilities, but still lack sufficient reliability when applied in the field. This study presents an alternative measure with a substantial ecological validity. First, we developed a behavioural video coding scheme identifying 11 assembly behaviours potentially revealing MWL being too high. Subsequently, we explored its validity by analysing videos of 24 participants performing a high and a low complexity assembly. Results showed that five of the behaviours identified, such as freezing and the amount of part rotations, significantly differed in occurrence and/or duration between the two conditions. The study hereby proposes a novel and naturalistic method that could help practitioners to map and redesign critical assembly phases, and researchers to enrich validation of MWL-measures through measurement triangulation. Practitioner summary: Current physiological mental workload (MWL) measures still lack sufficient reliability when applied in the field. Therefore, we identified several observable assembly behaviours that could reveal MWL being too high. The results propose a method to map MWL by observing specific assembly behaviours such as freezing and rotating parts. Abbreviations: MWL: mental workload; EEG: electroencephalography; fNIRS: functional near infrared spectroscopy; AOI: area of interest; SMI: SensoMotoric Instruments, ETG: Eye-Tracking Glasses; FPS: frames per second; BORIS: Behavioral Observation Research Interactive Software; IRR: inter-rater reliability; SWAT: Subjective Workload Assessment Technique; NASA-TLX: National Aeronautics and Space Administration Task Load Index; EL: emotional load; DSSQ: Dundee Stress State Questionnaire; PHL: physical load; SBO: Strategisch Basis Onderzoek
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ISSN:0014-0139
1366-5847
1366-5847
DOI:10.1080/00140139.2020.1811400