From Uncertainty to Tenacity: Investigating User Strategies and Continuance Intentions in AI-Powered ChatGPT with Uncertainty Reduction Theory-Reference-Cited by-同舟云学术

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From Uncertainty to Tenacity: Investigating User Strategies and Continuance Intentions in AI-Powered ChatGPT with Uncertainty Reduction Theory

Published:2024-07-25 Issue: Volume: Page:1-19
ISSN:1044-7318
Container-title:International Journal of Human–Computer Interaction
language:en
Short-container-title:International Journal of Human–Computer Interaction

Author:

Chang Yu-Hsin¹^ORCID,Silalahi Andri Dayarana K.²^ORCID,Lee Kuan-Yin¹^ORCID

Affiliation:

1. Department of Marketing and Logistics Management, College of Management, Chaoyang University of Technology, Taichung City, Taiwan

2. Department of Marketing and Logistics Marketing, College of Management, Chaoyang University of Technology, Taichung City, Taiwan

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2024.2381930

Reference76 articles.

1. Adarkwah, M. A., Ying, C., Mustafa, M. Y., & Huang, R. (2023). Prediction of learner information-seeking behavior and classroom engagement in the advent of ChatGPT. In C. Anutariya, D. Liu, Kinshuk, A. Tlili, J. Yang, & M. Chang (Eds.), International conference on smart learning environments (pp. 117–126). Springer Nature Singapore.

2. Should Artificial Intelligence‐based language models be allowed in developing scientific manuscripts? A debate between ChatGPT and the editors of Liver International

3. A Comprehensive Study of ChatGPT: Advancements, Limitations, and Ethical Considerations in Natural Language Processing and Cybersecurity

4. ChatGPT: Future Directions and Open possibilities

5. ChatGpt: Open Possibilities

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