extended-abstract

Anticipating habit formation: a psychological computing approach to behavior change support

Authors:

Arlette van Wissen,

Daniël Lakens,

Joaquin Vanschoren,

Boris de Ruyter,

Wijnand A. IJsselsteijnAuthors Info & Claims

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Pages 1247 - 1254

https://doi.org/10.1145/2968219.2968439

Published: 12 September 2016 Publication History

Abstract

Mobile computing systems hold the promise of becoming a cost-effective solution for supporting behavior change towards more healthy lifestyles. We present here an approach where the system implements a formal model of habit formation based on psychology theories, anticipates the behaviors and cognitive states of the users, and picks interventions based on model predictions. First, we discuss the motivation and system requirements for the approach. Next, we propose in detail an underlying computational model of habit formation which constitutes the key component of the system. Finally, future work and challenges will be discussed, focusing on the empirical validation of the model and the mapping between the model and intervention techniques.

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Cited By

Liefooghe Bvan Maanen L(2023)Three levels at which the user's cognition can be represented in artificial intelligenceFrontiers in Artificial Intelligence10.3389/frai.2022.10920535Online publication date: 13-Jan-2023
https://doi.org/10.3389/frai.2022.1092053
Zhang CLakens DIJsselsteijn W(2021)Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making FrameworkJournal of Medical Internet Research10.2196/1712723:4(e17127)Online publication date: 9-Apr-2021
https://doi.org/10.2196/17127
Zhang CSoliman-Hamad MRobijns RVerberkmoes NVerstappen FIJsselsteijn W(2019)Promoting Physical Activity with Self-Tracking and Mobile-based Coaching for Cardiac Surgery Patients during the Discharge-Rehabilitation Gap: Protocol for a Randomized Controlled Trial (Preprint)JMIR Research Protocols10.2196/16737Online publication date: 18-Oct-2019
https://doi.org/10.2196/16737
Show More Cited By

Index Terms

Anticipating habit formation: a psychological computing approach to behavior change support

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Information

Published In

cover image ACM Conferences

UbiComp '16: Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

September 2016

1807 pages

ISBN:9781450344623

DOI:10.1145/2968219

General Chairs:
Paul Lukowicz
DFKI and University of Kaiserslautern
,
Antonio Krüger
DFKI and Saarland University
,
Program Chairs:
Andreas Bulling
Max Planck Institute for Informatics
,
Youn-Kyung Lim
KAIST
,
Shwetak N. Patel
University of Washington

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2016

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Extended-abstract

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UbiComp '16

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UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 12 - 16, 2016

Germany, Heidelberg

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Liefooghe Bvan Maanen L(2023)Three levels at which the user's cognition can be represented in artificial intelligenceFrontiers in Artificial Intelligence10.3389/frai.2022.10920535Online publication date: 13-Jan-2023
https://doi.org/10.3389/frai.2022.1092053
Zhang CLakens DIJsselsteijn W(2021)Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making FrameworkJournal of Medical Internet Research10.2196/1712723:4(e17127)Online publication date: 9-Apr-2021
https://doi.org/10.2196/17127
Zhang CSoliman-Hamad MRobijns RVerberkmoes NVerstappen FIJsselsteijn W(2019)Promoting Physical Activity with Self-Tracking and Mobile-based Coaching for Cardiac Surgery Patients during the Discharge-Rehabilitation Gap: Protocol for a Randomized Controlled Trial (Preprint)JMIR Research Protocols10.2196/16737Online publication date: 18-Oct-2019
https://doi.org/10.2196/16737
Tabatabaei STreur J(2017)Advertisement and Expectation in Lifestyle Changes: A Computational ModelBrain Informatics10.1007/978-3-319-70772-3_2(14-25)Online publication date: 4-Nov-2017
https://doi.org/10.1007/978-3-319-70772-3_2

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