Understanding User Continuance for Generative AI: An Exploration Through the Theory of Trying
Generative Artificial Intelligence (GenAI) impacts various aspects of life. Users face challenges when using GenAI like ChatGPT. This study uses the Theory of Trying to explore users' intentions to post adoption ChatGPT, focusing on Selfconfidence. Data from 124 samples were analyzed using Partial Least Squares (PLS). Results show that attitudes toward the success significantly impact post adoption, while attitude toward failure does not affect post adoption. Self-confidence affects attitudes toward success and attitude toward failure. The discussion and implications are included at the end.
Authors
- Avus C. Y. Hou
- Yixuan Yang
- Y. Thomas Hou (ORCID: https://orcid.org/0000-0003-3716-5768)
Institutions
- Asia University (TW)
- Kaohsiung Medical University (TW)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icaise65384.2024.00018
- Citations
- 1
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.53