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Challenges of Parkinson’s disease : user experiences with STOP |
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| Author: | Kuosmanen, Elina1; Kan, Valerii1; Vega, Julio2; |
| Organizations: |
1Center for Ubiquitous Computing, University of Oulu Oulu, Finland 2School of Computer Science, University of Manchester Manchester, United Kingdom 3Center for Ubiquitous Computing, University of Oulu
4Information School, University of Washington Seattle, United States
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| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 1.2 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2019100932053 |
| Language: | English |
| Published: |
Association for Computing Machinery,
2019
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| Publish Date: | 2019-10-09 |
| Description: |
AbstractParkinson’s disease (PD) is the second most common neurodegenerative disorder, impacting an estimated seven to ten million people worldwide. Measuring the symptoms and progress of the disease, and medication effectiveness is currently performed using subjective measures and visual estimation. We developed and evaluated a mobile application, STOP for tracking hand’s motor symptoms, and a medication journal for recording medication intake. We followed 13 PD patients from two countries for a 1-month long real-world deployment. We found that PD patients are willing to use digital tools, such as STOP, to track their medication intake and symptoms, and are also willing to share such data with their caregivers and medical personnel to improve their own care. see all
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| ISBN: | 978-1-4503-6825-4 |
| Pages: | 1 - 11 |
| DOI: | 10.1145/3338286.3340133 |
| OADOI: | https://oadoi.org/10.1145/3338286.3340133 |
| Host publication: |
Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI ’19), October 1–4, 2019, Taipei, Taiwan |
| Conference: |
International Conference on Human-Computer Interaction with Mobile Devices and Services |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
113 Computer and information sciences |
| Subjects: | |
| Funding: |
This work is partially funded by the Academy of Finland (Grants 313224-STOP, 316253-SENSATE, 320089-SENSATE and 318927-6Genesis Flagship), and personal research grants awarded by the Finnish Parkinson Foundation and Tauno Tönning Foundation. |
| Academy of Finland Grant Number: |
313224 316253 320089 318927 |
| Detailed Information: |
313224 (Academy of Finland Funding decision) 316253 (Academy of Finland Funding decision) 320089 (Academy of Finland Funding decision) 318927 (Academy of Finland Funding decision) |
| Copyright information: |
© 2019 Association for Computing Machinery. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '19), https://doi.org/10.1145/3338286.3340133. |