research-article

A self-learning personalized feedback agent for motivating physical activity

Authors:

Harm op den Akker,

Laura S. Moualed,

Valerie M. Jones,

Hermie J. HermensAuthors Info & Claims

ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies

Article No.: 147, Pages 1 - 5

https://doi.org/10.1145/2093698.2093845

Published: 26 October 2011 Publication History

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Abstract

An important aspect in the treatment of various chronic diseases is to optimise physical activity levels. We present a general approach for the implementation of an electronic Feedback Agent that serves as a personal coach for achieving and maintaining a healthy level of physical activity through sustainable behavioural change. The Feedback Agent is a self-learning, context aware, personalized software agent that runs on the user's Smartphone and uses an external inertial sensor to keep track of the user's level of physical activity throughout the day. We highlight the three important aspects of feedback in our framework: the timing, content and representation of given feedback messages. Tailoring and optimization of feedback timing and content is in an advanced stage of research, while the representation aspect is largely a matter of future work.

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Cited By

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Bentlage ENyamadi JDubbeldam R(2023)The Importance of Activating Factors in Physical Activity Interventions for Older Adults Using Information and Communication Technologies: Systematic ReviewJMIR mHealth and uHealth10.2196/4296811(e42968-e42968)Online publication date: 24-Oct-2023
https://doi.org/10.2196/42968
Refat NRahman MAsyhari AKassim HKurniawan IRahman M(2020)MATT: A Mobile Assisted Tense Tool for Flexible m-Grammar Learning Based on Cloud-Fog-Edge Collaborative NetworkingIEEE Access10.1109/ACCESS.2020.29833108(66074-66084)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2983310
Mokmin NJamiat N(2020)The effectiveness of a virtual fitness trainer app in motivating and engaging students for fitness activity by applying motor learning theoryEducation and Information Technologies10.1007/s10639-020-10337-7Online publication date: 18-Sep-2020
https://doi.org/10.1007/s10639-020-10337-7
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Index Terms

A self-learning personalized feedback agent for motivating physical activity
1. Applied computing
  1. Life and medical sciences
2. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Logical and relational learning
        Inductive logic learning

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ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies

October 2011

949 pages

ISBN:9781450309134

DOI:10.1145/2093698

Conference Chair:
Simone Frattasi,
Program Chair:
Nicola Marchetti

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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ISABEL '11: International Symposium on Applied Sciences in Biomedical and Communication Technologies

October 26 - 29, 2011

Barcelona, Spain

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Bentlage ENyamadi JDubbeldam R(2023)The Importance of Activating Factors in Physical Activity Interventions for Older Adults Using Information and Communication Technologies: Systematic ReviewJMIR mHealth and uHealth10.2196/4296811(e42968-e42968)Online publication date: 24-Oct-2023
https://doi.org/10.2196/42968
Refat NRahman MAsyhari AKassim HKurniawan IRahman M(2020)MATT: A Mobile Assisted Tense Tool for Flexible m-Grammar Learning Based on Cloud-Fog-Edge Collaborative NetworkingIEEE Access10.1109/ACCESS.2020.29833108(66074-66084)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2983310
Mokmin NJamiat N(2020)The effectiveness of a virtual fitness trainer app in motivating and engaging students for fitness activity by applying motor learning theoryEducation and Information Technologies10.1007/s10639-020-10337-7Online publication date: 18-Sep-2020
https://doi.org/10.1007/s10639-020-10337-7
Scott ESoria ACampo M(2017)Adaptive 3D Virtual Learning Environments—A Review of the LiteratureIEEE Transactions on Learning Technologies10.1109/TLT.2016.260991010:3(262-276)Online publication date: 1-Jul-2017
https://doi.org/10.1109/TLT.2016.2609910
Elloumi LMeijerink Mvan Beijnum BHermens H(2017)Requirements, Design and Pilot Study of a Physical Activity Activation System Using Virtual CommunitiesBiomedical Engineering Systems and Technologies10.1007/978-3-319-54717-6_22(405-425)Online publication date: 4-Mar-2017
https://doi.org/10.1007/978-3-319-54717-6_22
Carrino SCaon MAbou Khaled OAndreoni GMugellini E(2014)PEGASO: Towards a Life CompanionDigital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management10.1007/978-3-319-07725-3_32(325-331)Online publication date: 2014
https://doi.org/10.1007/978-3-319-07725-3_32
Kennedy CPowell JPayne TAinsworth JBoyd ABuchan I(2012)Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary ReviewJournal of Medical Internet Research10.2196/jmir.189314:3(e80)Online publication date: 14-Jun-2012
https://doi.org/10.2196/jmir.1893

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Feedback presentation for mobile personalised digital physical activity coaching platforms

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Exploring the State-of-Receptivity for mHealth Interventions

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