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

Bram Van Acker (UGent) , Davy Parmentier (UGent) , Peter Conradie (UGent) , Stephanie Van Hove (UGent) , Alessandro Biondi (UGent) , Klaas Bombeke (UGent) , Peter Vlerick (UGent) and Jelle Saldien (UGent)
(2021) ERGONOMICS. 64(1). p.78-102
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Abstract
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.
Keywords
mental workload, measurement, behavioral video coding, validation, assembly, PRODUCT VARIETY, COGNITIVE-LOAD, HUMAN-PERFORMANCE, TASK VARIABLES, INDUSTRY 4.0, STRESS, PERSPECTIVE, COMPLEXITY, STRATEGIES, MANAGEMENT

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MLA
Van Acker, Bram, et al. “Development and Validation of a Behavioral Video Coding Scheme for Detecting Mental Workload in Manual Assembly.” ERGONOMICS, vol. 64, no. 1, 2021, pp. 78–102, doi:10.1080/00140139.2020.1811400.
APA
Van Acker, B., Parmentier, D., Conradie, P., Van Hove, S., Biondi, A., Bombeke, K., … Saldien, J. (2021). Development and validation of a behavioral video coding scheme for detecting mental workload in manual assembly. ERGONOMICS, 64(1), 78–102. https://doi.org/10.1080/00140139.2020.1811400
Chicago author-date
Van Acker, Bram, Davy Parmentier, Peter Conradie, Stephanie Van Hove, Alessandro Biondi, Klaas Bombeke, Peter Vlerick, and Jelle Saldien. 2021. “Development and Validation of a Behavioral Video Coding Scheme for Detecting Mental Workload in Manual Assembly.” ERGONOMICS 64 (1): 78–102. https://doi.org/10.1080/00140139.2020.1811400.
Chicago author-date (all authors)
Van Acker, Bram, Davy Parmentier, Peter Conradie, Stephanie Van Hove, Alessandro Biondi, Klaas Bombeke, Peter Vlerick, and Jelle Saldien. 2021. “Development and Validation of a Behavioral Video Coding Scheme for Detecting Mental Workload in Manual Assembly.” ERGONOMICS 64 (1): 78–102. doi:10.1080/00140139.2020.1811400.
Vancouver
1.
Van Acker B, Parmentier D, Conradie P, Van Hove S, Biondi A, Bombeke K, et al. Development and validation of a behavioral video coding scheme for detecting mental workload in manual assembly. ERGONOMICS. 2021;64(1):78–102.
IEEE
[1]
B. Van Acker et al., “Development and validation of a behavioral video coding scheme for detecting mental workload in manual assembly,” ERGONOMICS, vol. 64, no. 1, pp. 78–102, 2021.
@article{8672829,
  abstract     = {{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.}},
  author       = {{Van Acker, Bram and Parmentier, Davy and Conradie, Peter and Van Hove, Stephanie and Biondi, Alessandro and Bombeke, Klaas and Vlerick, Peter and Saldien, Jelle}},
  issn         = {{0014-0139}},
  journal      = {{ERGONOMICS}},
  keywords     = {{mental workload,measurement,behavioral video coding,validation,assembly,PRODUCT VARIETY,COGNITIVE-LOAD,HUMAN-PERFORMANCE,TASK VARIABLES,INDUSTRY 4.0,STRESS,PERSPECTIVE,COMPLEXITY,STRATEGIES,MANAGEMENT}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{78--102}},
  title        = {{Development and validation of a behavioral video coding scheme for detecting mental workload in manual assembly}},
  url          = {{http://dx.doi.org/10.1080/00140139.2020.1811400}},
  volume       = {{64}},
  year         = {{2021}},
}

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