Using AI Methods for Health Behavior Change

C. Zhang; S. Wang; B. Liefooghe; H. Spelt; J. Xu; W.A. IJsselsteijn

Using AI Methods for Health Behavior Change

C. Zhang^*, S. Wang, B. Liefooghe, H. Spelt, J. Xu, W.A. IJsselsteijn

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › Academic › peer-review

Abstract

Artificial intelligence (AI) has been applied to health behavior change research for over a decade. Current research programs include machine learning for delivering just-in-time adaptive interventions, computational modeling of behavior change processes, and the use of social AI for communication and persuasion. With new advances in AI, we propose an international workshop to bring together experts from all related disciplines to discuss and explore the potentials of AI for behavior change research. We discuss in this proposal the aims, planned activities, expected outcomes, and a promotion strategy for the workshop.

Original language	English
Pages (from-to)	1-5
Number of pages	5
Journal	CEUR Workshop Proceedings
Volume	3474
Publication status	Published - 2023
Event	18th International Conference on Persuasive Technology, Adjunct, PERSUASIVE-ADJ 2023 - Eindhoven, Netherlands Duration: 19 Apr 2023 → 21 Apr 2023

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Publisher Copyright:
© 2023 Copyright for this paper by its authors.

Keywords

Artificial Intelligence
Behavior Change
Digital Intervention
Health Psychology
Persuasive Technology

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title = "Using AI Methods for Health Behavior Change",

abstract = "Artificial intelligence (AI) has been applied to health behavior change research for over a decade. Current research programs include machine learning for delivering just-in-time adaptive interventions, computational modeling of behavior change processes, and the use of social AI for communication and persuasion. With new advances in AI, we propose an international workshop to bring together experts from all related disciplines to discuss and explore the potentials of AI for behavior change research. We discuss in this proposal the aims, planned activities, expected outcomes, and a promotion strategy for the workshop.",

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author = "C. Zhang and S. Wang and B. Liefooghe and H. Spelt and J. Xu and W.A. IJsselsteijn",

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T1 - Using AI Methods for Health Behavior Change

AU - Zhang, C.

AU - Wang, S.

AU - Liefooghe, B.

AU - Spelt, H.

AU - Xu, J.

AU - IJsselsteijn, W.A.

PY - 2023

Y1 - 2023

N2 - Artificial intelligence (AI) has been applied to health behavior change research for over a decade. Current research programs include machine learning for delivering just-in-time adaptive interventions, computational modeling of behavior change processes, and the use of social AI for communication and persuasion. With new advances in AI, we propose an international workshop to bring together experts from all related disciplines to discuss and explore the potentials of AI for behavior change research. We discuss in this proposal the aims, planned activities, expected outcomes, and a promotion strategy for the workshop.

AB - Artificial intelligence (AI) has been applied to health behavior change research for over a decade. Current research programs include machine learning for delivering just-in-time adaptive interventions, computational modeling of behavior change processes, and the use of social AI for communication and persuasion. With new advances in AI, we propose an international workshop to bring together experts from all related disciplines to discuss and explore the potentials of AI for behavior change research. We discuss in this proposal the aims, planned activities, expected outcomes, and a promotion strategy for the workshop.

KW - Artificial Intelligence

KW - Behavior Change

KW - Digital Intervention

KW - Health Psychology

KW - Persuasive Technology

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M3 - Conference article

AN - SCOPUS:85173562078

SN - 1613-0073

VL - 3474

SP - 1

EP - 5

JO - CEUR Workshop Proceedings

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T2 - 18th International Conference on Persuasive Technology, Adjunct, PERSUASIVE-ADJ 2023

Y2 - 19 April 2023 through 21 April 2023

ER -

Using AI Methods for Health Behavior Change

Abstract

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Keywords

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