PANDA: Parkinson's Assistance and Notification Driving Aid

要旨

Parkinson's Disease (PD) significantly impacts driving abilities, often leading to early driving cessation or accidents due to reduced motor control and increasing reaction times. To diminish the impact of these symptoms, we developed PANDA (Parkinson's Assistance and Notification Driving Aid), a multi-modality real-time alert system designed to monitor driving patterns continuously and provide immediate alerts for irregular driving behaviors, enhancing driver safety of individuals with PD. The system was developed through a participatory design process with 9 people with PD and 13 non-PD individuals using a driving simulator, which allowed us to identify critical design characteristics and collect detailed data on driving behavior. A user study involving individuals with PD evaluated the effectiveness of PANDA, exploring optimal strategies for delivering alerts and ensuring they are timely and helpful. Our findings demonstrate that PANDA has the potential to enhance the driving safety of individuals with PD, offering a valuable tool for maintaining independence and confidence behind the wheel.

著者
Tianyang Wen
Institude of Software, Chinese Academy of Sciences, Beijing, China
Xucheng Zhang
Chinese Academy of Sciences, Beijing, China
Zhirong Wan
Aerospace Center Hospital, Beijing, China
Jing Zhao
Aerospace Center Hospital, Beijing, China
Yicheng Zhu
Peking Union Medical College Hospital, Beijing, China
Ning Su
Peking Union Medical College Hospital, Beijing, China
Xiaolan Peng
Institute of software,Chinese Academy of Sciences, Beijing, -Select-, China
Jin Huang
Chinese Academy of Sciences, Beijing, China
Wei Sun
Institute of Software Chinese Academy of Sciences, Beijing, Beijing, China
Feng Tian
Institute of software, Chinese Academy of Sciences, Beijing, China
Franklin Mingzhe Li
Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
DOI

10.1145/3706598.3713920

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713920

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technologies for Elderly

G316+G317
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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