Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare 2020

DOI: 10.1145/3421937.3421991

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Cited by 8 publications

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INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping

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et al. 2023

Visual Informatics

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INPHOVIS: Interactive visual analytics for smartphone-based digital phenotyping

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et al. 2023

Visual Informatics

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Towards Supporting Data-Driven Practices in Stroke Telerehabilitation Technology

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et al. 2021

Proc. ACM Hum.-Comput. Interact.

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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 \hlstudy 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.

“I hope I never need one”: Unpacking Stigma in Aging in Place Technology

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2022

CHI Conference on Human Factors in Computing Systems

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