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Identifying motivational factors affecting assist-as-needed rehabilitation
Mosqueda, Gissele Sutton, Rachel Miranda, Virgil Tri, Anna Vangsness, Lisa Yihun, Yimesker S.
Mosqueda, Gissele
Sutton, Rachel
Miranda, Virgil
Tri, Anna
Vangsness, Lisa
Yihun, Yimesker S.
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Conference paper
Adobe PDF, 1.19 MB
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2020-05-11
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Conference paper
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Keywords
Assist-as-needed,Rehabilitation,Metacognition,Human factors
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Citation
Mosqueda, G., Sutton, R., Miranda, V., Tri, A., Vangsness, L., & Yihun, Y. (2021). Identifying motivational factors affecting assist-as-needed rehabilitation. Paper presented at the Proceedings of the 2021 Design of Medical Devices Conference, DMD 2021, doi:10.1115/DMD2021-1055
Abstract
Robot-based, assist-as-needed (AAN) therapeutic devices are one solution to the high costs and increased demand for rehabilitative therapy. Three decades of work have improved the design of robot-based AAN devices; however, the role that humans play in successful AAN rehabilitation has been less well-studied. In this paper, we briefly describe a framework for understanding human engagement with AAN devices. We then test this framework with a small sample of 10 healthy volunteers. We find evidence that task-based (weight) characteristics and physical states (accuracy) inform peoples’ Judgments of Difficulty (JODs). In contrast, volunteers’ engagement with AAN rehabilitation was tentatively informed by the amount of time spent on the last exercise. Together, these results suggest that JODs and task engagement decisions are distinct – but related – constructs that are present during rehabilitation.
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Open Access
Publisher
American Society of Mechanical Engineers
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2021 Design of Medical Devices Conference;