scholarly journals Correction: Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making Framework

10.2196/29629 ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. e29629
Author(s):  
Chao Zhang ◽  
Daniël Lakens ◽  
Wijnand A IJsselsteijn
Keyword(s):  
Decision Making ◽  
Behavior Change ◽  
Digital Age ◽  
Lifestyle Behavior ◽  
Theory Integration ◽  
Decision Making Framework ◽  
Adaptive Decision Making

scholarly journals Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making Framework (Preprint)

2019 ◽  
Author(s):  
Chao Zhang ◽  
Daniël Lakens ◽  
Wijnand A IJsselsteijn
Keyword(s):  
Decision Making ◽  
Behavior Change ◽  
Computational Models ◽  
Digital Health ◽  
Digital Data ◽  
Lifestyle Behaviors ◽  
Lifestyle Behavior ◽  
Theory Integration ◽  
Digital Intervention ◽  
Adaptive Decision Making

UNSTRUCTURED Despite the growing popularity of digital health interventions, limitations of traditional behavior change theories and a lack of theory integration hinder theory-driven behavior change applications. In this paper, we aim to review theories relevant to lifestyle behavior change from the broader psychology literature and then integrate these theories into a new theoretical framework called adaptive decision-making to address two specific problems. First, our framework represents lifestyle behaviors at two levels—one of individual daily decisions (action level) and one of larger behavioral episodes (reflection level)—to more closely match the temporal characteristics of lifestyle behaviors and their associated digital data. Second, the framework connects decision-making theories and learning theories to explain how behaviors and cognitive constructs dynamically influence each other, making it a suitable scaffold for building computational models. We map common digital intervention techniques onto the behavioral and cognitive processes in the framework and discuss possible contributions of the framework to both theory development and digital intervention design.

scholarly journals Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-Making Framework

10.2196/17127 ◽  
2021 ◽  
Vol 23 (4) ◽  
pp. e17127
Author(s):  
Chao Zhang ◽  
Daniël Lakens ◽  
Wijnand A IJsselsteijn
Keyword(s):  
Decision Making ◽  
Behavior Change ◽  
Computational Models ◽  
Digital Health ◽  
Digital Data ◽  
Lifestyle Behaviors ◽  
Lifestyle Behavior ◽  
Theory Integration ◽  
Digital Intervention ◽  
Adaptive Decision Making

Despite the growing popularity of digital health interventions, limitations of traditional behavior change theories and a lack of theory integration hinder theory-driven behavior change applications. In this paper, we aim to review theories relevant to lifestyle behavior change from the broader psychology literature and then integrate these theories into a new theoretical framework called adaptive decision-making to address two specific problems. First, our framework represents lifestyle behaviors at two levels—one of individual daily decisions (action level) and one of larger behavioral episodes (reflection level)—to more closely match the temporal characteristics of lifestyle behaviors and their associated digital data. Second, the framework connects decision-making theories and learning theories to explain how behaviors and cognitive constructs dynamically influence each other, making it a suitable scaffold for building computational models. We map common digital intervention techniques onto the behavioral and cognitive processes in the framework and discuss possible contributions of the framework to both theory development and digital intervention design.

Theory Integration for Lifestyle Behavior Change in the Digital Age: An Adaptive Decision-making Framework

2019 ◽  
Author(s):  
Chao Zhang ◽  
Daniel Lakens ◽  
Wijnand IJsselsteijn
Keyword(s):  
Decision Making ◽  
Behavior Change ◽  
Computational Models ◽  
Digital Health ◽  
Digital Data ◽  
Lifestyle Behaviors ◽  
Lifestyle Behavior ◽  
Theory Integration ◽  
Digital Intervention ◽  
Adaptive Decision Making

Despite the growing popularity of digital health interventions, limitations of traditional behavior change theories and a lack of theory integration hinder theory-driven behavior change applications. In this article we review theories relevant to lifestyle behavior change from a broader psychology literature, and then integrate these theories to a new theoretical framework called adaptive decision-making to address two specific problems. First, our framework represents lifestyle behaviors at two levels, one of individual daily decisions (action-level), and one of larger behavioral episodes (reflection-level), to more closely match the temporal characteristic of lifestyle behaviors and digital data. Second, the framework connects decision-making theories and learning theories to explain how behaviors and cognitive constructs dynamically influence each other, making it a suitable scaffold for building computational models. We map common digital intervention techniques onto the behavioral and cognitive processes in the framework, and discuss possible contributions of the framework to both theory development and digital intervention design.

scholarly journals Opportunistic management of estuaries under climate change: A new adaptive decision-making framework and its practical application

2015 ◽  
Vol 163 ◽  
pp. 214-223 ◽  
Author(s):  
William Peirson ◽  
Erica Davey ◽  
Alan Jones ◽  
Wade Hadwen ◽  
Keith Bishop ◽  
...  
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Practical Application ◽  
Decision Making Framework ◽  
Opportunistic Management ◽  
Adaptive Decision Making

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Author(s):  
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Keyword(s):  
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Situation Awareness ◽  
Desktop Computer ◽  
Adaptive Decision Making

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Author(s):  
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Keyword(s):  
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Adaptive Decision-Making in Response to Crowd Formations in Building EXODUS

1999 ◽  
Vol 8 (4) ◽  
pp. 1-1 ◽  
Author(s):  
S. Gwynne, E. R. Galea, P. J. Lawrence
Keyword(s):  
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Adaptive Decision Making

A BIM-based decision-making framework for optimal seismic retrofit of existing buildings

2021 ◽  
Vol 242 ◽  
pp. 112544
Author(s):  
Nicola Caterino ◽  
Iolanda Nuzzo ◽  
Antonio Ianniello ◽  
Giorgio Varchetta ◽  
Edoardo Cosenza
Keyword(s):  
Decision Making ◽  
Seismic Retrofit ◽  
Existing Buildings ◽  
Decision Making Framework
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