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.

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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
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article

Understanding User Continuance for Generative AI: An Exploration Through the Theory of Trying

Avus C. Y. Hou, Yixuan Yang, Y. Thomas Hou
1 citations
Ethics and Social Impacts of AI
0.53
article

Understanding User Continuance for Generative AI: An Exploration Through the Theory of Trying

Avus C. Y. Hou, Yixuan Yang, Y. Thomas Hou
article en
1 citations

Abstract

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.

Asia University (TW), Kaohsiung Medical University (TW)
Openalex Percentile: Top 23%
Ethics and Social Impacts of AI
0.53
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