Paper Info
Title
Behavioral informatics: Dynamical models for measuring and assessing behaviors for precision interventions
Abstract
Poor health-related behaviors represent a major challenge to healthcare due to their significant impact on chronic and acute diseases and their effect on the quality of life. Recent advances in technology have enabled an unprecedented opportunity to assess objectively, unobtrusively and continuously human behavior and have opened the possibility of optimizing individual-tailored, precision interventions within the framework of behavioral informatics. A key prerequisite for this optimization is the ability to assess and predict effects of interventions. This is potentially achievable with computational models of behavior and behavior change. In this paper we describe various approaches to computational modeling and describe a new hybrid model based on a dual process theoretical framework for behavior change. The model leverages cognitive learning theories and is shown to be consistent with mobile intervention data. We also illustrate how system-theoretic approaches can be used to assess the effect of coaching and participants' health behaviors.
Year
DOI
Venue
2016
10.1109/EMBC.2016.7590672
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Keywords
Field
DocType
Computer Simulation,Decision Support Techniques,Exercise,Fruit,Health Behavior,Humans,Linear Models,Markov Chains,Models, Theoretical,Precision Medicine,Vegetables
Data science,Data modeling,Informatics,Psychological intervention,Learning theory,Computer science,Computational model,Coaching,Cognition,Behavior change
Conference
Volume
ISSN
ISBN
2016
1557-170X
978-1-4577-0219-8
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Misha Pavel176099.04
Holly B. Jimison21812.30
Bonnie Spring371.95