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Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model.
- Source :
-
International Journal of Human-Computer Interaction . May2024, Vol. 40 Issue 10, p2560-2577. 18p. - Publication Year :
- 2024
-
Abstract
- The purpose of this study is to develop and test a theoretical model that can be used to predict the influencing factors affecting users' use of healthcare applications. Our research structure model is based on the Attention-Interest-Search-Action-Share (AISAS) model, combined with the indicators of personal intention and social identity, to predict we-intention. The proposed model was tested through a survey of 353 users of healthcare applications from mainland China and Taiwan. Based on the five characteristics of the AISAS model, this study integrates three levels of influencing factors (individual dimension, social dimension, and application design dimension) that affect users' use of healthcare applications. It also verifies that users have both personal intention and we-intention when using healthcare applications. This research contributes to the theoretical development of the AISAS model, we-intention and healthcare applications. Finally, implications for theory and practice and directions for future research are discussed. [ABSTRACT FROM AUTHOR]
- Subjects :
- *FACTOR analysis
*GROUP identity
*MEDICAL care
*THEORY-practice relationship
Subjects
Details
- Language :
- English
- ISSN :
- 10447318
- Volume :
- 40
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- International Journal of Human-Computer Interaction
- Publication Type :
- Academic Journal
- Accession number :
- 177218193
- Full Text :
- https://doi.org/10.1080/10447318.2022.2163566