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BeActive: Encouraging Physical Activities with Just-in-time Health Intervention and Micro Financial Incentives

Authors:

Kyong-Mee Chung,

Ahsan Khandoker,

Leontios HadjileontiadisAuthors Info & Claims

AsianCHI '20: Proceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures

Pages 17 - 20

https://doi.org/10.1145/3391203.3391206

Published: 31 July 2020 Publication History

Abstract

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.

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Cited By

Lee UJung GMa EKim JKim HAlikhanov JNoh YKim H(2023)Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research DirectionsIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12301510:1(42-66)Online publication date: Jan-2023
https://doi.org/10.1109/JAS.2023.123015

Index Terms

BeActive: Encouraging Physical Activities with Just-in-time Health Intervention and Micro Financial Incentives
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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AsianCHI '20: Proceedings of the 2020 Symposium on Emerging Research from Asia and on Asian Contexts and Cultures

April 2020

82 pages

ISBN:9781450387682

DOI:10.1145/3391203

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 31 July 2020

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AsianCHI '20

AsianCHI '20: Asian CHI Symposium 2020

April 25, 2020

HI, Honolulu, USA

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Cited By

Lee UJung GMa EKim JKim HAlikhanov JNoh YKim H(2023)Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research DirectionsIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12301510:1(42-66)Online publication date: Jan-2023
https://doi.org/10.1109/JAS.2023.123015

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