A computational cognitive model of self-efficacy and daily adherence in mHealth

Mobile health (mHealth) applications provide an excellent opportunity for collecting rich, fine-grained data necessary for understanding and predicting day-to-day health behavior change dynamics. A computational predictive model (ACT-R-DStress) is presented and fit to individual daily adherence in 2...

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Detalles Bibliográficos
Autor principal: Pirolli, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110491/
https://www.ncbi.nlm.nih.gov/pubmed/27848213
http://dx.doi.org/10.1007/s13142-016-0391-y
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author Pirolli, Peter
author_facet Pirolli, Peter
author_sort Pirolli, Peter
collection PubMed
description Mobile health (mHealth) applications provide an excellent opportunity for collecting rich, fine-grained data necessary for understanding and predicting day-to-day health behavior change dynamics. A computational predictive model (ACT-R-DStress) is presented and fit to individual daily adherence in 28-day mHealth exercise programs. The ACT-R-DStress model refines the psychological construct of self-efficacy. To explain and predict the dynamics of self-efficacy and predict individual performance of targeted behaviors, the self-efficacy construct is implemented as a theory-based neurocognitive simulation of the interaction of behavioral goals, memories of past experiences, and behavioral performance.
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spelling pubmed-51104912016-11-29 A computational cognitive model of self-efficacy and daily adherence in mHealth Pirolli, Peter Transl Behav Med Original Research Mobile health (mHealth) applications provide an excellent opportunity for collecting rich, fine-grained data necessary for understanding and predicting day-to-day health behavior change dynamics. A computational predictive model (ACT-R-DStress) is presented and fit to individual daily adherence in 28-day mHealth exercise programs. The ACT-R-DStress model refines the psychological construct of self-efficacy. To explain and predict the dynamics of self-efficacy and predict individual performance of targeted behaviors, the self-efficacy construct is implemented as a theory-based neurocognitive simulation of the interaction of behavioral goals, memories of past experiences, and behavioral performance. Springer US 2016-02-22 2016-12 /pmc/articles/PMC5110491/ /pubmed/27848213 http://dx.doi.org/10.1007/s13142-016-0391-y Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Research
Pirolli, Peter
A computational cognitive model of self-efficacy and daily adherence in mHealth
title A computational cognitive model of self-efficacy and daily adherence in mHealth
title_full A computational cognitive model of self-efficacy and daily adherence in mHealth
title_fullStr A computational cognitive model of self-efficacy and daily adherence in mHealth
title_full_unstemmed A computational cognitive model of self-efficacy and daily adherence in mHealth
title_short A computational cognitive model of self-efficacy and daily adherence in mHealth
title_sort computational cognitive model of self-efficacy and daily adherence in mhealth
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5110491/
https://www.ncbi.nlm.nih.gov/pubmed/27848213
http://dx.doi.org/10.1007/s13142-016-0391-y
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