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Observer performance in estimating upper arm elevation angles under ideal viewing conditions when assisted by posture matching software
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences. Univ Gavle, Dept Occupat & Publ Hlth Sci, Ctr Musculoskeletal Res, SE-80176 Gavle, Sweden..
Univ Gavle, Dept Occupat & Publ Hlth Sci, Ctr Musculoskeletal Res, SE-80176 Gavle, Sweden..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centre for Research and Development, Gävleborg. Univ Gavle, Dept Occupat & Publ Hlth Sci, Ctr Musculoskeletal Res, SE-80176 Gavle, Sweden..
2016 (English)In: Applied Ergonomics, ISSN 0003-6870, E-ISSN 1872-9126, Vol. 55, 208-215 p.Article in journal (Refereed) PublishedText
Abstract [en]

Selecting a suitable body posture measurement method requires performance indices of candidate tools. Such data are lacking for observational assessments made at a high degree of resolution. The aim of this study was to determine the performance (bias and between- and within-observer variance) of novice observers estimating upper arm elevation postures assisted by posture matching software to the nearest degree from still images taken under ideal conditions. Estimates were minimally biased from true angles: the mean error across observers was less than 2. Variance between observers was minimal. Considerable variance within observers, however, underlined the risk of relying on single observations. Observers were more proficient at estimating 0 and 90 postures, and less proficient at 60. Thus, under ideal visual conditions observers, on average, proved proficient at high resolution posture estimates; further investigation is required to determine how non-optimal image conditions, as would be expected from occupational data, impact proficiency.

Place, publisher, year, edition, pages
2016. Vol. 55, 208-215 p.
Keyword [en]
Measurement error, Working postures, Observation
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:uu:diva-300293DOI: 10.1016/j.apergo.2016.01.012ISI: 000374074600021PubMedID: 26995050OAI: oai:DiVA.org:uu-300293DiVA: diva2:951326
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2009-1761
Available from: 2016-08-08 Created: 2016-08-08 Last updated: 2016-08-08Bibliographically approved

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Liv, Per
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Department of Medical SciencesCentre for Research and Development, Gävleborg
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ReferencesLink to record
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