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2026 (English)In: DIS '26: Proceedings of the 2026 Designing Interactive Systems Conference / [ed] Ching Chiuan Yen; Jung-Joo Lee; Ellen Yi-Luen Do; Clement Zheng; Daisy Yoo; Tony Tang, Association for Computing Machinery (ACM) , 2026, p. 4648-4669Conference paper, Published paper (Refereed)
Abstract [en]
People with Parkinson’s disease (PwP) engage in diverse self-care practices, including tracking medication and symptoms. While consumer-oriented health technologies have supported such practices, specialized technologies for Parkinson’s disease (PD) are increasingly being integrated into clinical care. This paper reports on a design inquiry including PwP and healthcare professionals aimed at eliciting needs for meaningful representations of PD symptom-tracking data. We conducted a toolkit-based data elicitation workshop with 8 PwP experienced with sensor-based active tests to assess motor symptoms, alongside 15 interviews with clinicians, including neurologists, nurses, and physiotherapists. Interviews combined dashboard prototypes centered on simulated active test data with collaborative prompt-based prototyping. Our findings show that PwP and clinicians rely on one another to interpret symptom-tracking data, and that the resulting data representations may influence the focus of clinical encounters. Active test data is found particularly valuable for nurses and physiotherapists, while highlighting tensions in using such data to support neurologists’ medication-related decision-making without increasing testing burdens for PwP.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2026
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:mau:diva-83998 (URN)10.1145/3800645.3813029 (DOI)2-s2.0-105042799580 (Scopus ID)9798400725630 (ISBN)
Conference
DIS '26: Designing Interactive Systems Conference Singapore, Singapore June 13 - 17, 2026
2026-05-052026-05-052026-07-27Bibliographically approved