A Self-Learning Personalized Feedback Agent for Motivating Physical Activity

Harm op den Akker; Laura S. Moualed; Valerie M. Jones; Hermanus J. Hermens

doi:10.1145/2093698.2093845

A Self-Learning Personalized Feedback Agent for Motivating Physical Activity

Harm op den Akker, Laura S. Moualed, Valerie M. Jones, Hermanus J. Hermens

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

5 Citations (Scopus)

7 Downloads (Pure)

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.

Original language	Undefined
Title of host publication	Proceedings of ISABEL 2011: the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	147
Number of pages	5
ISBN (Print)	978-1-4503-0913-4
DOIs	https://doi.org/10.1145/2093698.2093845
Publication status	Published - 27 Oct 2011
Event	4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011 - Barcelona, Spain Duration: 26 Oct 2011 → 29 Oct 2011 Conference number: 4

Publication series

Name
Publisher	ACM

Conference

Conference	4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011
Abbreviated title	ISABEL
Country/Territory	Spain
City	Barcelona
Period	26/10/11 → 29/10/11

Keywords

METIS-284967
EWI-21173
IR-79557

Access to Document

10.1145/2093698.2093845

http://eprints.eemcs.utwente.nl/secure2/21173/01/2011-ISABEL-SelfLearning.pdf

Cite this

@inproceedings{42581ec554b94839933019a941b87277,

title = "A Self-Learning Personalized Feedback Agent for Motivating Physical Activity",

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.",

keywords = "METIS-284967, EWI-21173, IR-79557",

author = "{op den Akker}, Harm and Moualed, {Laura S.} and Jones, {Valerie M.} and Hermens, {Hermanus J.}",

note = "eemcs-eprint-21173 ; 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011 ; Conference date: 26-10-2011 Through 29-10-2011",

year = "2011",

month = oct,

day = "27",

doi = "10.1145/2093698.2093845",

language = "Undefined",

isbn = "978-1-4503-0913-4",

publisher = "Association for Computing Machinery",

pages = "147",

booktitle = "Proceedings of ISABEL 2011: the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies",

address = "United States",

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op den Akker, H, Moualed, LS, Jones, VM & Hermens, HJ 2011, A Self-Learning Personalized Feedback Agent for Motivating Physical Activity. in Proceedings of ISABEL 2011: the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies. Association for Computing Machinery, New York, pp. 147, 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2011, Barcelona, Spain, 26/10/11. https://doi.org/10.1145/2093698.2093845

A Self-Learning Personalized Feedback Agent for Motivating Physical Activity. / op den Akker, Harm; Moualed, Laura S.; Jones, Valerie M. et al.
Proceedings of ISABEL 2011: the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies. New York: Association for Computing Machinery, 2011. p. 147.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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N1 - Conference code: 4

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N2 - 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.

AB - 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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KW - IR-79557

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