NDLI: A dynamical systems model of Social Cognitive Theory

Content Provider	IEEE Xplore Digital Library
Author	Martin, C.A. Rivera, D.E. Riley, W.T. Hekler, E.B. Buman, M.P. Adams, M.A. King, A.C.
Copyright Year	2014
Description	Author affiliation: Control Syst. Eng. Lab. (CSEL), Arizona State Univ., Tempe, AZ, USA (Martin, C.A.; Rivera, D.E.) \|\| Div. of Cancer Control & Population Sci., Nat. Cancer Inst., Bethesda, MD, USA (Riley, W.T.) \|\| Sch. of Nutrition & Health Promotion, Arizona State Univ., Phoenix, AZ, USA (Hekler, E.B.; Buman, M.P.; Adams, M.A.) \|\| Dept. of Health Res. & Policy, Stanford Univ., Stanford, CA, USA (King, A.C.)
Abstract	Social Cognitive Theory (SCT) is among the most influential theories of health behavior and has been used as the conceptual basis of interventions for smoking cessation, weight management, and other related health outcomes. SCT and other related theories were developed primarily to explain differences between individuals, but explanatory theories of within-person behavioral variability are increasingly needed to support new technology-driven interventions that can adapt over time for each person. This paper describes a dynamical system model of SCT using a fluid analogy scheme. A series of simulations were performed to explore and better understand SCT. The model incorporates a nonlinear feature called habituation, an important feature of behavioral response resulting from continuous stimulus. It also illustrates how control systems engineering principles provide a promising approach for advancing health behavior theory development, and for guiding the design of more potent and efficient effective interventions.
Starting Page	2407
Ending Page	2412
File Size	468949
Page Count	6
File Format	PDF
ISBN	9781479932726
ISSN	07431619
e-ISBN	9781479932740
DOI	10.1109/ACC.2014.6859463
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Mathematical model Data models Adaptation models Context Educational institutions Control systems Biomedical Emerging control applications Modeling and simulation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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