A system identification approach for improving behavioral interventions based on Social Cognitive Theory

Cesar A. Martin, Sunil Deshpande, Eric B. Hekler, Daniel Rivera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Mobile and wireless health (mHealth) interventions offer the opportunity for applying control engineering and system identification concepts in behavioral change settings. Social Cognitive Theory provides a recognized theoretical framework that can be applied to explain changes in behavior over time. Based on earlier work describing a dynamical model of this theory, a semi-physical system identification approach is developed in this paper for interventions associated with improving physical activity. An initial informative experiment that relies on prior knowledge from similar interventions is first designed to obtain basic insights regarding the dynamics of the system. Based on these results a second, optimized experiment is developed which solves a constrained optimization problem to find the intervention component profiles needed to mirror a desired behavioral pattern and to provide sufficient information that allows a more precise estimation of the parameters. A simulation study is presented to illustrate the design procedure.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5878-5883
Number of pages6
Volume2015-July
ISBN (Print)9781479986842
DOIs
StatePublished - Jul 28 2015
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Other

Other2015 American Control Conference, ACC 2015
CountryUnited States
CityChicago
Period7/1/157/3/15

Fingerprint

Identification (control systems)
Constrained optimization
Mirrors
Experiments
Health

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Martin, C. A., Deshpande, S., Hekler, E. B., & Rivera, D. (2015). A system identification approach for improving behavioral interventions based on Social Cognitive Theory. In Proceedings of the American Control Conference (Vol. 2015-July, pp. 5878-5883). [7172261] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2015.7172261

A system identification approach for improving behavioral interventions based on Social Cognitive Theory. / Martin, Cesar A.; Deshpande, Sunil; Hekler, Eric B.; Rivera, Daniel.

Proceedings of the American Control Conference. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. p. 5878-5883 7172261.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Martin, CA, Deshpande, S, Hekler, EB & Rivera, D 2015, A system identification approach for improving behavioral interventions based on Social Cognitive Theory. in Proceedings of the American Control Conference. vol. 2015-July, 7172261, Institute of Electrical and Electronics Engineers Inc., pp. 5878-5883, 2015 American Control Conference, ACC 2015, Chicago, United States, 7/1/15. https://doi.org/10.1109/ACC.2015.7172261
Martin CA, Deshpande S, Hekler EB, Rivera D. A system identification approach for improving behavioral interventions based on Social Cognitive Theory. In Proceedings of the American Control Conference. Vol. 2015-July. Institute of Electrical and Electronics Engineers Inc. 2015. p. 5878-5883. 7172261 https://doi.org/10.1109/ACC.2015.7172261
Martin, Cesar A. ; Deshpande, Sunil ; Hekler, Eric B. ; Rivera, Daniel. / A system identification approach for improving behavioral interventions based on Social Cognitive Theory. Proceedings of the American Control Conference. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. pp. 5878-5883
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