Formalization of Behavior Change Theories to Accomplish a Health Behavior

The objective of this paper is to study theories behind behavior change and adaptation of behavior. Humans often live according to habitual behavior. Changing an existing behavior or adopting a new (healthier) behavior is not an easy task. There are a number of things which are important when considering adapting physical activity behavior. A behavior is affected by various cognitive processes, for example involving beliefs, intentions, goals, impediments. A conceptual and computational model is discussed based on state of the art theories about behavior change. The model combines different theories: the social cognitive theory, and the theory of self-regulation. In addition, health behavior interventions are discussed that may be used in a coaching system. The paper consists of two parts: the first part describes a computational model of behavior change and the second part discusses the formalization of evidence-based techniques for behavior change and questions to measure the various states of mind in order to provide tailored and personalized support.

[1]  Nicolas Michinov,et al.  Social Comparison, Perceived Control, and Occupational Burnout , 2005 .

[2]  Tibor Bosse,et al.  Empirical Analysis of Social Support Provided via Social Media , 2016, SocInfo.

[3]  Julia S. Mollee,et al.  A Computational Agent Model of Influences on Physical Activity Based on the Social Cognitive Theory , 2013, PRIMA.

[4]  T. Valente.  Network Interventions , 2012, Science.

[5]  Michel C. A. Klein,et al.  Modeling the effect of regulation of negative emotions on mood , 2015, BICA 2015.

[6]  Jodi Forlizzi,et al.  A stage-based model of personal informatics systems , 2010, CHI.

[7]  A. Bandura.  Health promotion from the perspective of social cognitive theory , 1998 .

[8]  C. Abraham,et al.  The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions , 2013, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[9]  J. Sallis,et al.  An ecological approach to creating active living communities. , 2006, Annual review of public health.

[10]  V. Strecher,et al.  One size does not fit all: The case for tailoring print materials , 1999, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[11]  Wanda Pratt,et al.  Understanding quantified-selfers' practices in collecting and exploring personal data , 2014, CHI.

[12]  Elizabeth J Lyons,et al.  Behavior Change Techniques Implemented in Electronic Lifestyle Activity Monitors: A Systematic Content Analysis , 2014, Journal of medical Internet research.

[13]  J. Brug,et al.  Apps to promote physical activity among adults: a review and content analysis , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[14]  A. Bandura.  Health Promotion by Social Cognitive Means , 2004, Health education & behavior : the official publication of the Society for Public Health Education.

[15]  M. Becker.  The Health Belief Model and Sick Role Behavior* , 1974 .

[16]  J. Gross.  The Emerging Field of Emotion Regulation: An Integrative Review , 1998 .

[17]  Stephen P. Borgatti,et al.  Identifying sets of key players in a social network , 2006, Comput. Math. Organ. Theory.

[18]  M. Swan.  Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen , 2012, Journal of personalized medicine.

[19]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[20]  W. Velicer,et al.  The Transtheoretical Model of Health Behavior Change , 1997, American journal of health promotion : AJHP.

[21]  I. Rosenstock,et al.  Social Learning Theory and the Health Belief Model , 1988, Health education quarterly.

[22]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[23]  J. Prochaska,et al.  A meta-analysis of computer-tailored interventions for health behavior change. , 2010, Preventive medicine.