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Designing an AI Health Coach and Studying Its Utility in Promoting Regular Aerobic Exercise

Published: 30 May 2020 Publication History

Abstract

Our research aims to develop interactive, social agents that can coach people to learn new tasks, skills, and habits. In this article, we focus on coaching sedentary, overweight individuals (i.e., “trainees”) to exercise regularly. We employ adaptive goal setting in which the intelligent health coach generates, tracks, and revises personalized exercise goals for a trainee. The goals become incrementally more difficult as the trainee progresses through the training program. Our approach is model-based—the coach maintains a parameterized model of the trainee’s aerobic capability that drives its expectation of the trainee’s performance. The model is continually revised based on trainee-coach interactions. The coach is embodied in a smartphone application, NutriWalking, which serves as a medium for coach-trainee interaction. We adopt a task-centric evaluation approach for studying the utility of the proposed algorithm in promoting regular aerobic exercise. We show that our approach can adapt the trainee program not only to several trainees with different capabilities but also to how a trainee’s capability improves as they begin to exercise more. Experts rate the goals selected by the coach better than other plausible goals, demonstrating that our approach is consistent with clinical recommendations. Further, in a 6-week observational study with sedentary participants, we show that the proposed approach helps increase exercise volume performed each week.

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cover image ACM Transactions on Interactive Intelligent Systems
ACM Transactions on Interactive Intelligent Systems  Volume 10, Issue 2
June 2020
155 pages
ISSN:2160-6455
EISSN:2160-6463
DOI:10.1145/3403610
Issue’s Table of Contents
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 the author(s) 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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Publication History

Published: 30 May 2020
Accepted: 01 October 2019
Received: 01 November 2018
Published in TIIS Volume 10, Issue 2

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Author Tags

  1. AI and society
  2. AI for social good
  3. Health behavior change
  4. coaching AI
  5. evaluation of interactive AI
  6. health systems
  7. human-aware AI systems
  8. supporting human learning

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  • Xerox corporation
  • Kaiser Permanente Group Washington Research Institute

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