Understanding contributing factors to exoskeleton use-intention in construction: A decision tree approach using results from an online survey

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dc.contributor.authorKim, Sunwooken
dc.contributor.authorOjelade, Aanuoluwapoen
dc.contributor.authorMoore, Alberten
dc.contributor.authorGutierrez, Nancyen
dc.contributor.authorHarris-Adamson, Carisaen
dc.contributor.authorBarr, Alanen
dc.contributor.authorSrinivasan, Divyaen
dc.contributor.authorRempel, David M.en
dc.contributor.authorNussbaum, Maury A.en
dc.date.accessioned2024-01-22T13:52:00Zen
dc.date.available2024-01-22T13:52:00Zen
dc.date.issued2023-12-12en
dc.description.abstractWork-related musculoskeletal disorders (WMSDs) are a major health concern in the construction industry. Occupational exoskeletons (EXOs) are a promising ergonomic intervention to help reduce WMSD risk. Their adoption, however, has been low in construction. To understand the contributing factors to EXO use-intention and assist in future decision-making, we built decision trees to predict responses to each of three EXO use-intention questions (Try, Voluntary Use, and Behavioral Intention), using online survey responses. Variable selection and hyperparameter tuning were used respectively to reduce the number of potential predictors and improve prediction performance. The importance of variables in each final tree was calculated to understand which variables had a greater influence. The final trees had moderate prediction performance. The root node of each tree included EXOs becoming standard equipment, fatigue reduction, or performance increase. Important variables were found to be quite specific to different decision trees. Practical implications of the findings are discussed.en
dc.description.versionAccepted versionen
dc.format.extentPages 1-22en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1080/00140139.2023.2289859en
dc.identifier.eissn1366-5847en
dc.identifier.issn0014-0139en
dc.identifier.orcidNussbaum, Maury [0000-0002-1887-8431]en
dc.identifier.orcidOjelade, Aanuoluwapo [0000-0001-9715-3254]en
dc.identifier.orcidKim, Sun Wook [0000-0003-3624-1781]en
dc.identifier.pmid38085690en
dc.identifier.urihttps://hdl.handle.net/10919/117499en
dc.language.isoenen
dc.publisherInformaen
dc.relation.urihttps://www.ncbi.nlm.nih.gov/pubmed/38085690en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectExoskeleton acceptanceen
dc.subjectdecision makingen
dc.subjectergonomic interventionen
dc.subjectimplementationen
dc.subjectworkplace injuriesen
dc.titleUnderstanding contributing factors to exoskeleton use-intention in construction: A decision tree approach using results from an online surveyen
dc.title.serialErgonomicsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.otherJournal Articleen
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/Engineeringen
pubs.organisational-group/Virginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-group/Virginia Tech/Faculty of Health Sciencesen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Engineering/COE T&R Facultyen
pubs.organisational-group/Virginia Tech/Graduate studentsen
pubs.organisational-group/Virginia Tech/Graduate students/Doctoral studentsen

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