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WEnner: A Theoretically Motivated Approach for Tailored Coaching about Physical Activity

Published: 08 October 2018 Publication History

Abstract

In this paper, we describe a new theoretically motivated application framework, Wenner, for developing tailored interactions for an exercise-oriented well-being application. The framework allows us to conduct in-lab and 'in the wild' studies to directly deploy and evaluate the effects of our interventions. We describe two systems that have been developed using the framework. The first WennerStep is an individually tailored text based approach to delivering adaptive persuasive messaging using a smartwatch. The second WennerAgent, is a virtual embodied coach who adaptively reacts to user activity with emotionally appropriate responses. We conclude with a discussion in which we describe outstanding challenges for our approach and relate this to current work on Chatbot deployments for well-being.

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Cited By

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  • (2022)Examining AI Methods for Micro-Coaching DialogsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501886(1-24)Online publication date: 29-Apr-2022
  • (2021)Automated vs. Human Health CoachingProceedings of the ACM on Human-Computer Interaction10.1145/34491735:CSCW1(1-37)Online publication date: 22-Apr-2021
  • (2021)From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal RecommendationsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445555(1-17)Online publication date: 6-May-2021
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    cover image ACM Conferences
    UbiComp '18: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
    October 2018
    1881 pages
    ISBN:9781450359665
    DOI:10.1145/3267305
    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: 08 October 2018

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    Author Tags

    1. Physical activity
    2. personality
    3. smartwatch

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    View all
    • (2022)Examining AI Methods for Micro-Coaching DialogsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501886(1-24)Online publication date: 29-Apr-2022
    • (2021)Automated vs. Human Health CoachingProceedings of the ACM on Human-Computer Interaction10.1145/34491735:CSCW1(1-37)Online publication date: 22-Apr-2021
    • (2021)From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal RecommendationsProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445555(1-17)Online publication date: 6-May-2021
    • (2020)Trends in Persuasive Technologies for Physical Activity and Sedentary Behavior: A Systematic ReviewFrontiers in Artificial Intelligence10.3389/frai.2020.000073Online publication date: 28-Apr-2020

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