@inproceedings{10.1145/3338286.3340133b,
title = {Challenges of Parkinson's Disease: User Experiences with STOP},
author = {Elina Kuosmanen and Valerii Kan and Julio Vega and Aku Visuri and Yuuki Nishiyama and Anind K Dey and Simon Harper and Denzil Ferreira},
url = {https://doi.org/10.1145/3338286.3340133},
doi = {10.1145/3338286.3340133},
isbn = {9781450368254},
year = {2019},
date = {2019-10-05},
booktitle = {Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services},
publisher = {Association for Computing Machinery},
address = {Taipei, Taiwan},
series = {MobileHCI '19},
abstract = {Parkinson'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.},
keywords = {empirical evaluation, logging, Parkinson's disease, smartphone},
pubstate = {published},
tppubtype = {inproceedings}
}