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A Comparison of Mental and Visual Load Resulting from Semi-automated and Conventional Forest Forwarding: An Experimental Machine Simulation Study
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology, Occupational Health Science. University of Gävle, Centre for Musculoskeletal Research. Högskolan i Gävle.ORCID iD: 0000-0001-7680-1929
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology, Occupational Health Science. University of Gävle, Centre for Musculoskeletal Research.
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology, Occupational Health Science. University of Gävle, Centre for Musculoskeletal Research.ORCID iD: 0000-0001-5005-9957
Skogforsk, the forestry research institute of Sweden, Uppsala, Sweden.
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2019 (English)In: Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume X: Auditory and Vocal Ergonomics, Visual Ergonomics, Psychophysiology in Ergonomics, Ergonomics in Advanced Imaging / [ed] Bagnara S., Tartaglia R., Albolino S., Alexander T., Fujita Y., Cham, 2019, 827, Vol. X, p. 199-208Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of the present study was to extend the knowledge offunctional linkages between visual and mental load, performance, and prefrontalcortex (PFC) activity, during forestry forwarding work. Eleven healthy participants,range 21–51 years old, with a minimum of 1-year work experience,carried out the task of loading logs along a standardized path in a machinesimulator during two counterbalanced test conditions: (i) conventional cranecontrol, and; (ii) semi-automated crane control. Mental load was assessed byquantification of oxygenated hemoglobin (HbO2) concentration changes overthe right dorsolateral prefrontal cortex (dlPFC) via non-invasive functional nearinfrared spectrometry (fNIRS). Visual, autonomic, and motoric control variableswere measured and analyzed in parallel along with the individual level of performance.Linear Mixed Models (LMM) analysis indicated more mental loadduring conventional crane work. Collectively, our data suggest that fNIRS is aviable tool which can be used in neuroergonomic research to evaluate physiologicalactivity levels in PFC.

Place, publisher, year, edition, pages
Cham, 2019, 827. Vol. X, p. 199-208
Series
Advances in Intelligent Systems and Computing, ISSN 21945357, E-ISSN 2194-5365 ; 827
Keywords [en]
Visual ergonomics, neuroergonomics, Nirs, robotics
National Category
Other Medical Sciences
Research subject
Health-Promoting Work
Identifiers
URN: urn:nbn:se:hig:diva-27848DOI: 10.1007/978-3-319-96059-3_22Scopus ID: 2-s2.0-85051781837ISBN: 978-3-319-96058-6 (print)ISBN: 978-3-319-96059-3 (electronic)OAI: oai:DiVA.org:hig-27848DiVA, id: diva2:1245507
Conference
20th Congress of the International Ergonomics Association, IEA 2018, 26-30 August 2018, Florence, Italy
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2009-1761
Note

Södra Skogsägarnas Stiftelse för Forskning, Utveckling och Utbildning Grant no: 2009-1761

Available from: 2018-09-05 Created: 2018-09-05 Last updated: 2020-11-23Bibliographically approved

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Richter, HansDomkin, DmitryElcadi, Guilherme H.Högberg, Hans

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CiteExportLink to record
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Citation style
  • apa
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Output format
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