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Volume 74
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Proceeding Paper

To Satisfy or Clarify: Enhancing User Information Satisfaction with AI-Powered ChatGPT †

by
Chung Jen Fu
1,
Andri Dayarana K. Silalahi
2,*,
I-Tung Shih
1,
Do Thi Thanh Phuong
2,3,
Ixora Javanisa Eunike
4 and
Shinetseteg Jargalsaikhan
1
1
Department of Business Administration, College of Management, Chaoyang University of Technology, Taichung 411310, Taiwan
2
Department of Marketing and Logistics Management, Chaoyang University of Technology, Taichung 411310, Taiwan
3
Department of Distribution Management, National Chin-Yi University of Technology, Taiping 411030, Taiwan
4
Master of Management Program, Graduate School, University of Technology, Medan 20235, Indonesia
*
Author to whom correspondence should be addressed.
†
Presented at the 2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data, Taipei, Taiwan, 19–21 April 2024.
Eng. Proc. 2024, 74(1), 3; https://doi.org/10.3390/engproc2024074003
Published: 26 August 2024
(This article belongs to the Proceedings of 2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data)
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Abstract

The effective use of AI-powered ChatGPT in higher education highlights its potential as a knowledge acquisition tool, yet it brings to the fore the less-explored area of user information satisfaction (UIS), a gap addressing the development of the UIS model tailored to ChatGPT. In this foundational research grounded in UIS theory, a model was proposed based on critical factors to guide educational stakeholders in investigating issues such as plagiarism and ethical use. By analyzing responses from a diverse group of Indonesian users employed in higher education and using Structural Equation Modeling with Smart-PLS 4.0, we identified five key determinants: completeness, precision, timeliness, convenience, and format. The determinants affect user satisfaction, while traditionally emphasized factors such as accuracy and reliability do not significantly impact the academic utilization of ChatGPT. The results advocate for reliance on ChatGPT with limitations in regard to accuracy and suggest a change in the academic use of technology. The results also offer a perspective that blends theoretical innovation with practical application in educational settings.
Keywords: artificial intelligence; ChatGPT; user information satisfaction; higher education; accuracy artificial intelligence; ChatGPT; user information satisfaction; higher education; accuracy

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MDPI and ACS Style

Fu, C.J.; Silalahi, A.D.K.; Shih, I.-T.; Phuong, D.T.T.; Eunike, I.J.; Jargalsaikhan, S. To Satisfy or Clarify: Enhancing User Information Satisfaction with AI-Powered ChatGPT. Eng. Proc. 2024, 74, 3. https://doi.org/10.3390/engproc2024074003

AMA Style

Fu CJ, Silalahi ADK, Shih I-T, Phuong DTT, Eunike IJ, Jargalsaikhan S. To Satisfy or Clarify: Enhancing User Information Satisfaction with AI-Powered ChatGPT. Engineering Proceedings. 2024; 74(1):3. https://doi.org/10.3390/engproc2024074003

Chicago/Turabian Style

Fu, Chung Jen, Andri Dayarana K. Silalahi, I-Tung Shih, Do Thi Thanh Phuong, Ixora Javanisa Eunike, and Shinetseteg Jargalsaikhan. 2024. "To Satisfy or Clarify: Enhancing User Information Satisfaction with AI-Powered ChatGPT" Engineering Proceedings 74, no. 1: 3. https://doi.org/10.3390/engproc2024074003

APA Style

Fu, C. J., Silalahi, A. D. K., Shih, I.-T., Phuong, D. T. T., Eunike, I. J., & Jargalsaikhan, S. (2024). To Satisfy or Clarify: Enhancing User Information Satisfaction with AI-Powered ChatGPT. Engineering Proceedings, 74(1), 3. https://doi.org/10.3390/engproc2024074003

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