Investigating the Efficacy of Behavioral Models to Predict Use of Health Technology: A Scoping Review

Karim Zahed, Sherecce Fields, Farzan Sasangohar

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Chronic conditions are widespread and need serious behavioral habits to manage or mitigate. There is a gap in understanding the role of beliefs to assess intention to use and to sustain using technology that can aid in performing healthy behaviors. This review aims to understand the common behavioral models used in the literature to understand intention to use health-related technologies. The scoping review included 36 articles, and results show that integrating constructs from more than one behavioral model may add to the capability of behavioral models to predict intention. The research also shows that intention needs to be assessed longitudinally and compared with actual behavior performed to capture a realistic assessment of the relationship between intention and action.

Original languageEnglish (US)
Pages (from-to)2172-2176
Number of pages5
JournalProceedings of the Human Factors and Ergonomics Society
Volume66
Issue number1
DOIs
StatePublished - 2022
Event66th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2022 - Atlanta, United States
Duration: Oct 10 2022Oct 14 2022

ASJC Scopus subject areas

  • Human Factors and Ergonomics

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