Toward training surgeons with motion-based feedback: Initial validation of smoothness as a measure of motor learning

dc.citation.firstpage1531
dc.citation.issueNumber1
dc.citation.journalTitleProceedings of the Human Factors and Ergonomics Society Annual Meeting
dc.citation.lastpage1535
dc.citation.volumeNumber61
dc.contributor.authorPandey, Shivam
dc.contributor.authorByrne, Michael D.
dc.contributor.authorJantscher, William H.
dc.contributor.authorO’Malley, Marcia K.
dc.contributor.authorAgarwal, Priyanshu
dc.date.accessioned2018-01-23T18:10:49Z
dc.date.available2018-01-23T18:10:49Z
dc.date.issued2017
dc.description.abstractSurgery is a challenging domain for motor skill acquisition. A critical contributing factor in this difficulty is that feedback is often delayed from performance and qualitative in nature. Collection of highdensity motion information may offer a solution. Metrics derived from this motion capture, in particular indices of movement smoothness, have been shown to correlate with task outcomes in multiple domains, including endovascular surgery. The open question is whether providing feedback based on these metrics can be used to accelerate learning. In pursuit of that goal, we examined the relationship between a motion metric that is computationally simple to compute—spectral arc length—and performance on a simple but challenging motor task, mirror tracing. We were able to replicate previous results showing that movement smoothness measures are linked to overall performance, and now have performance thresholds to use in subsequent work on using these metrics for training.
dc.identifier.citationPandey, Shivam, Byrne, Michael D., Jantscher, William H., et al.. "Toward training surgeons with motion-based feedback: Initial validation of smoothness as a measure of motor learning." <i>Proceedings of the Human Factors and Ergonomics Society Annual Meeting,</i> 61, no. 1 (2017) Sage: 1531-1535. https://doi.org/10.1177/1541931213601747.
dc.identifier.digitalhfes2017_NSF_upload_compliant
dc.identifier.doihttps://doi.org/10.1177/1541931213601747
dc.identifier.urihttps://hdl.handle.net/1911/99243
dc.language.isoeng
dc.publisherSage
dc.rightsThis is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by Human Factors and Ergonomics Society.
dc.titleToward training surgeons with motion-based feedback: Initial validation of smoothness as a measure of motor learning
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpost-print
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