Exploring Collaborative Patterns in Neurodiverse Teams: A Hidden Markov Model Approach Using Physiological Signals

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dc.contributor.authorKim, Sunwooken
dc.contributor.authorWang, Manhuaen
dc.contributor.authorFok, Meganen
dc.contributor.authorHornburg, Caroline Byrden
dc.contributor.authorJeon, Myounghoonen
dc.contributor.authorScarpa, Angelaen
dc.date.accessioned2025-01-09T19:48:45Zen
dc.date.available2025-01-09T19:48:45Zen
dc.date.issued2024-09en
dc.date.issued2024-08-29en
dc.description.abstract<jats:p> Autistic individuals face challenges in successful employment, emphasizing the need for targeted workplace support. This study explored collaborative dynamics within neurodiverse teams during a simulated remote work task by applying Hidden Markov Models (HMMs) to heart rate data. Eighteen participants formed nine dyads: six nonautistic (NA-NA) pairs and three autistic-non-autistic (ASD-NA) pairs. Dyads completed two trials of a collaborative programming task over Zoom, alternating roles between trials. Heart rate data were collected, segmented, and transformed to extract features reflecting participants’ interactions. The final HMM was fitted with seven hidden states, and transition probabilities were derived for each dyad type. Results showed that NA-NA dyads exhibited more frequent transitions among states compared to ASD-NA dyads, potentially suggesting more varied interaction patterns. These findings demonstrate the utility of HMMs in capturing collaborative behaviors through physiological signals and highlight their potential in helping develop effective support strategies for neurodiverse teams. </jats:p>en
dc.description.versionPublished versionen
dc.format.extentPages 137-138en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1177/10711813241260680en
dc.identifier.eissn2169-5067en
dc.identifier.issn1071-1813en
dc.identifier.issue1en
dc.identifier.orcidKim, Sun Wook [0000-0003-3624-1781]en
dc.identifier.orcidJeon, Myounghoon [0000-0003-2908-671X]en
dc.identifier.urihttps://hdl.handle.net/10919/124043en
dc.identifier.volume68en
dc.language.isoenen
dc.publisherSAGE Publicationsen
dc.relation.urihttps://doi.org/10.1177/10711813241260680en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titleExploring Collaborative Patterns in Neurodiverse Teams: A Hidden Markov Model Approach Using Physiological Signalsen
dc.title.serialProceedings of the Human Factors and Ergonomics Society Annual Meetingen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
pubs.organisational-groupVirginia Techen
pubs.organisational-groupVirginia Tech/Engineeringen
pubs.organisational-groupVirginia Tech/Engineering/Industrial and Systems Engineeringen
pubs.organisational-groupVirginia Tech/All T&R Facultyen
pubs.organisational-groupVirginia Tech/Engineering/COE T&R Facultyen

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