Applied computing Applied computing -- Life and medical sciences Applied computing -- Life and medical sciences -- Consumer health Applied computing -- Life and medical sciences -- Health care information systems Applied computing -- Life and medical sciences -- Health informatics Human-centered computing Human-centered computing -- Human computer interaction (HCI)
Telerehabilitation systems for stroke survivors have been predominantly designed to measure and quantify movement in order to guide and encourage rehabilitation regular exercises at home. We set out to study what aspect of the movement data was essential, to better inform sensor design. We investigated face-to-face stroke rehabilitation sessions through a series of interviews and observations involving 16 stroke rehabilitation specialists including physiatrists, physical therapists, and occupational therapists. We found that specialists are not solely interested in movement data, and that experiential information about stroke survivors’ lived experience plays an essential role in specialists interpreting movement data and creating a rehabilitation plan. We argue for a reconceptualization in stroke telerehabilitation that is more inclusive of non-movement data, and present design implications to better account for experiential information in telerehabilitation systems.
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14 citations in Scopus
Details
Title
It’s Not Just the Movement: Experiential Information Needed for Stroke Telerehabilitation
Creators
Adegboyega Akinsiku - University of Maryland, Baltimore County
Ignacio Avellino - University of Maryland, Baltimore County
Yasmin Graham - University of Maryland, Baltimore County
Helena M. Mentis - University of Maryland, Baltimore County
Publication Details
Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp 1-12
Conference
CHI '21: CHI Conference on Human Factors in Computing Systems