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A comparison of mental and visual loads resulting from semi-automated and conventional forest harvesting: An experimental machine simulation study
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences, Occupational health science. University of Gävle, Centre for Musculoskeletal Research.
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences, Occupational health science. University of Gävle, Centre for Musculoskeletal Research.
University of Gävle, Faculty of Health and Occupational Studies, Department of Health and Caring Sciences, Sports science.ORCID iD: 0000-0001-5005-9957
Skogforsk, the forestry research institute of Sweden, Uppsala, Sweden.
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2018 (English)Conference paper, Oral presentation only (Other academic)
Abstract [en]

This study is concerned with a new method for partly automating forestry harvesting work. Work-related injuries and constant demands for a higher productivity are two of the many arguments for why forestry work must be improved. Forestry work places great mental demands on the driver because they must continuously evaluate and act on relevant parts in a heavy visual information flow. Against this background the purpose of the present study was to extend the knowledge of functional linkages between visual and mental fatigue, performance, and prefrontal cortex activity, during semi-automated and conventional forestry harvesting 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 machine simulator during two counterbalanced 45-min periods: (i) conventional forest harvesting, and; (ii) semi-automated forest harvesting. Equal emphasizes was put on accuracy and speed. During manual forest harvesting the driver controlled the crane arm, used to load logs into the load space of the forest vehicle (“forwarder”), by manually operating the joysticks and so guide the crane to the location of the log and then back to the load space. During semi-automatic forest harvesting the driver moved the crane with the press of a button to a pre-programmed location near the log and then, after another button press, to a pre-programmed location within the load space. The following joystick usage parameters were considered for the statistical analysis: Sequential work cycle number, work phase (1-loading in basket, 2-movement to log, 3-picking up log, 4-movement to load space), number of simultaneously used controls across samples of one phase, number of direction changes of joystick movements per phase. Mental load was assessed by quantification of oxygenated hemoglobin (HbO2) concentration changes over the right dorsolateral prefrontal cortex (dlPFC) via non-invasive functional near infrared spectrometry (fFNIRS: PortaLite mini, Artinis Medical Systems, Zetten, the Netherlands). The frequency and duration of horizontal amplitudes of eye/head/neck angles was assessed continuously with 8 SmartEye cameras and used as a measure of visual load. NASA-TLX and Borg CRS was used to assess perceived mental and physical fatigue. Linear Mixed Model will be used to test and to analyze the effect of the duration of work, joystick usage, work type (manual or semi-automated) and perceived mental and physical effort on the outcome of oxygenated hemoglobin concentration. This study contributes with new knowledge of the consequences of the current increase in automation. The 4th industrial revolution can have tremendous implications on how we perceive and organize work in the future, but little is still known about the impact on human body and brain.

Place, publisher, year, edition, pages
2018.
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:hig:diva-25769OAI: oai:DiVA.org:hig-25769DiVA, id: diva2:1163821
Conference
IEA 2018 - 20th Congress International Ergonomics Association - Florence, 26th - 30th August 2018, Florence, Italy
Projects
Skogsmaskinförares mentala och fysiska belastningsnivåer under arbete med delautomatiserad skotarkran – en experimentell studie i skogsmaskinsimulator (MentAuto)
Note

Abstract submitted to: IEA 2018 - 20th Congress International Ergonomics Association - Florence, 26th - 30th August 2018

Available from: 2017-12-08 Created: 2017-12-08 Last updated: 2018-03-22Bibliographically approved

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

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CiteExportLink to record
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