A computational cognitive model of self-efficacy and daily adherence in mHealth.

Authors:
Pirolli P.

Journal:
Transl Behav Med

Publication Year: 2016

DOI:
10.1007/s13142-016-0391-y

PMCID:
PMC5110491

PMID:
27848213

Journal Information

Full Title: Transl Behav Med

Abbreviation: Transl Behav Med

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Behavioral Sciences

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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"Conflict of interest Peter Piroll has no conflict of interest to report."

Evidence found in paper:

"This material is based upon work supported by the National Science Foundation under Grant No. 1346066 to Peter Pirolli and Michael Youngblood. Thanks to the DStress team for performing the original study: Artie Konrad, Victoria Bellotti Nicole Crenshaw, Simon Tucker, Les Nelson, Honglu Du, and Stephen Whittaker. I want to especially thank Christian Lebiere who provided detailed feedback and advice on the ACT-R-DStress model and Dan Bothell who continually provides me with technical and theoretical support on using ACT-R. I credit Andrew E. Williams with suggesting the relevance of somatic markers. Many thanks go to Jacqui LeBlanc and Anusha Venkatakrishnan for their comments on an earlier draft of this paper."

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Last Updated: Aug 05, 2025