A User-Centered Framework to Empower People with Parkinson's Disease
Wasifur Rahman, Abdelrahman Abdelkader, Sangwu Lee, Phillip T. Yang, Md. Saiful Islam, T. M. Tariq Adnan, Masum Hasan, Ellen Wagner, Sooyong Park, Earl Ray Dorsey, Catherine Schwartz, Karen Jaffe, Mohammed E. Hoque
Abstract
We present a user-centric validation of a teleneurology platform, assessing its effectiveness in conveying screening information, facilitating user queries, and offering resources to enhance user empowerment. This validation process is implemented in the setting of Parkinson's disease (PD), in collaboration with a neurology department of a major medical center in the USA. Our intention is that with this platform, anyone globally with a webcam and microphone-equipped computer can carry out a series of speech, motor, and facial mimicry tasks. Our validation method demonstrates to users a mock PD risk assessment and provides access to relevant resources, including a chatbot driven by GPT, locations of local neurologists, and actionable and scientifically-backed PD prevention and management recommendations. We share findings from 91 participants (48 with PD, 43 without) aimed at evaluating the user experience and collecting feedback. Our framework was rated positively by 80.85% (standard deviation ± 8.92%) of the participants, and it achieved an above-average 70.42 (standard deviation ± 13.85) System-Usability-Scale (SUS) score. We also conducted a thematic analysis of open-ended feedback to further inform our future work. When given the option to ask any questions to the chatbot, participants typically asked for information about neurologists, screening results, and the community support group. We also provide a roadmap of how the knowledge generated in this paper can be generalized to screening frameworks for other diseases through designing appropriate recording environments, appropriate tasks, and tailored user-interfaces.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers1
Ask how each one uses itBuilds on1
Related papers
- Modeling Mouse-based Pointing and Steering Tasks for People with Parkinson's DiseaseHang Zhao, Kaiyan Ling, I. V. Ramakrishnan, M. D. Guy Schwartz et al.UbiComp 2025 · 3 citations
- Designing Scaffolding Strategies for Conversational Agents in Dialog Task of Neurocognitive Disorders ScreeningJiaxiong Hu, Junze Li, Yuhang Zeng, Dongjie Yang et al.CHI 2024 · 12 citations
- TULIP: Multi-Camera 3D Precision Assessment of Parkinson's DiseaseKyungdo Kim, Sihan Lyu, Sneha Mantri, Timothy W. DunnCVPR 2024
- Self-tracking in Parkinson's The Lived Efforts of Self-managementJenny Vafeiadou, Asimina Vasalou, George RoussosCSCW 2021 · 15 citations
- PDLens: smartphone knows drug effectiveness among Parkinson's via daily-life activity fusionHanbin Zhang, Gabriel Guo, Chen Song, Chenhan Xu et al.MobiCom 2020 · 20 citations
