Encouraging patients with cardiovascular disease to be more active is one of the critical challenges in conventional rehabilitation programs. Rehabilitation programs are mostly offered at specific times and locations (e.g., clinical facilities or in-home exercise programs), which are the root causes of participation barriers. We envision that use of mobile and wearable technologies can overcome such spatial/temporal restrictions and offer novel opportunities for promoting physical activities in their everyday lives. In this work, we introduce BeActive, a mobile-based intervention platform that delivers just-in-time intervention messages to help patients to be more active in their daily lives. The key innovation of BeActive is to leverage fine-grained tracking of user behaviors to deliver just-in-time feedback and to incentivize health behavior maintenance via micro financial rewards. To show the feasibility of BeActive, we conducted a preliminary study for seven days (n=5), and presented several design improvements for just-in-time health intervention.
|Title of host publication||AsianCHI 2020 - Proceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures, Part of CHI 2020|
|Publisher||Association for Computing Machinery|
|Number of pages||4|
|Publication status||Published - 2020 Apr 25|
|Event||2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures, AsianCHI 2020 - Part of CHI 2020 - Honolulu, Virtual, United States|
Duration: 2020 Apr 25 → …
|Name||ACM International Conference Proceeding Series|
|Conference||2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures, AsianCHI 2020 - Part of CHI 2020|
|Period||20/4/25 → …|
Bibliographical noteFunding Information:
This work was partly supported by the Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (No. R7124-16-0004, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding) and the 2019 KK-JRC Smart Project.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Human-Computer Interaction