Towards Supporting Data-Driven Practices in Stroke Telerehabilitation Technology

要旨

Telerehabilitation technology has the potential to support the work of patients and clinicians by collecting and displaying patients' data to inform, motivate, and support decision-making. However, few studies have investigated data-driven practices in telerehabilitation. In this qualitative study, we conducted interviews and a focus group with the use of data visualization probes to investigate the experience of stroke survivors and healthcare providers with game-based telerehabilitation involving physical and occupational therapy. We find that participants saw potential value in the data to support their work, however they experienced challenges when interpreting data to arrive at meaningful insights and actionable information. Further, patients' personal relationships with their goals and data stand in contrast with clinicians' more matter-of-fact perspectives. Informed by these results, we discuss implications for telerehabilitation technology design.

著者
Clara Caldeira
Mayara Costa Figueiredo
University of California, Irvine, Irvine, California, United States
Lucy Dodakian
UC Irvine, Irvine, California, United States
Cleidson de Souza
UFPA, Belem, Pennsylvania, Brazil
Steven C. Cramer
UC Los Angeles, Los Angeles, California, United States
Yunan Chen
論文URL

https://doi.org/10.1145/3449099

動画

会議: CSCW2021

The 24th ACM Conference on Computer-Supported Cooperative Work and Social Computing

セッション: Data Work Across Contexts and Disciplines

Papers Room D
8 件の発表
2021-10-26 19:00:00
2021-10-26 20:30:00