Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model

Ming Yuan Ding, Wei Tsong Wang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.

Original languageEnglish
JournalInternational Journal of Human-Computer Interaction
Publication statusAccepted/In press - 2023

All Science Journal Classification (ASJC) codes

  • Human Factors and Ergonomics
  • Human-Computer Interaction
  • Computer Science Applications


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