Analysis of Factors Affecting the Use of ChatGPT at Mikroskil University: A Study Based on the Extended UTAUT2 Model

Authors

  • Joy Nasten Sinaga Mikroskil University, Indonesia
  • Erwin Setiawan Panjaitan Mikroskil University, Indonesia
  • Sofinana Nurjanah Mikroskil University, Indonesia

DOI:

https://doi.org/10.47709/brilliance.v4i1.3862

Keywords:

UTAUT, ChatGPT, Curiousity, Mikroskil

Abstract

This study aims to identify factors that influence students' intention and behavior in using ChatGPT at Mikroskil University. The method used in this study is the Unified Theory of Acceptance and Use of Technology (UTAUT2), with the addition of the curiosity variable. Other variables analyzed included Performance Expectations, Effort Expectations, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, and Habit. To collect data, the research team conducted a survey of active students of the Faculty of Informatics at the university. Data analysis was conducted using Structural Equation Modeling (SEM), a method that allows researchers to understand complex relationships between variables. The results showed that several factors had a significant influence on the intention and behavior of using ChatGPT. Hedonic Motivation, Habit, and Curiosity were found to be the main factors driving the intention to use ChatGPT. Facilitating Conditions also contributed to the use of the technology. On the other hand, some variables did not show a significant impact on usage intention. Performance Expectancy, Effort Expectancy, Social Influence, and Price Value fall into this category. These findings suggest that the factors that drive technology use may vary, and highlight the importance of curiosity and personal motivation in the adoption of new technologies in higher education settings.

References

Acikgoz, F., Elwalda, A., & De Oliveira, M. J. (2023). Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory. International Journal of Information Management Data Insights, 3(1). https://doi.org/10.1016/j.jjimei.2022.100152

Dale, R. (2021, January 1). GPT-3: What’s it good for? Natural Language Engineering, Vol. 27, pp. 113–118. Cambridge University Press. https://doi.org/10.1017/S1351324920000601

Dan Milmo and agency | The Guardin. (2023, February 2). ChatGPT reaches 100 million users two months after launch. Retrieved January 30, 2024, from https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastest-growing-app website: https://www.theguardian.com/technology/2023/feb/02/chatgpt-100-million-users-open-ai-fastest-growing-app

Fabio Duarte | Exploding Topics. (2023, July 13). Number of ChatGPT Users (2023).

Fearon, I. M., Seltzer, R. G. N., Houser, T. L., Tope, A., Cahours, X., Verron, T., … Nides, M. (2023). Curiosity and intentions to use my blu e?cigarettes and an examination of the ‘gateway’ theory: Data from cross?sectional nationally representative surveys. Drug Testing and Analysis. https://doi.org/10.1002/dta.3450

Floridi, L., & Chiriatti, M. (2020, December 1). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, Vol. 30, pp. 681–694. Springer Science and Business Media B.V. https://doi.org/10.1007/s11023-020-09548-1

Gross, M. E., Zedelius, C. M., & Schooler, J. W. (2020, October 1). Cultivating an understanding of curiosity as a seed for creativity. Current Opinion in Behavioral Sciences, Vol. 35, pp. 77–82. Elsevier Ltd. https://doi.org/10.1016/j.cobeha.2020.07.015

Haleem, A., Javaid, M., & Singh, R. P. (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(4), 100089. https://doi.org/10.1016/j.tbench.2023.100089

Kung, T. H., Cheatham, M., Medenilla, A., Sillos, C., De Leon, L., Elepaño, C., … Tseng, V. (2023). Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digital Health, 2(2), e0000198. https://doi.org/10.1371/journal.pdig.0000198

Liu, X., Jiang, N., Fu, M., Cai, Z., Lim, E. T. K., & Tan, C. W. (2022). What Piques Users’ Curiosity on Open Innovation Platforms? An Analysis Based on Mobile App Stores. Information Systems Frontiers. https://doi.org/10.1007/s10796-022-10312-2

OpenAI. (2022, November 30). Introducing ChatGPT. Retrieved January 30, 2024, from https://openai.com/blog/chatgpt#OpenAI website: https://openai.com/blog/chatgpt#OpenAI

Patel, S. B., & Lam, K. (2023, March 1). ChatGPT: the future of discharge summaries? The Lancet Digital Health, Vol. 5, pp. e107–e108. Elsevier Ltd. https://doi.org/10.1016/S2589-7500(23)00021-3

Qin, C., Zhang, A., Zhang, Z., Chen, J., Yasunaga, M., & Yang, D. (2023). Is ChatGPT a General-Purpose Natural Language Processing Task Solver? Retrieved from http://arxiv.org/abs/2302.06476

Van Dis, E. A. M., Bollen, J., Van Rooij, R., Zuidema, W., & Bockting, C. L. (2023). ChatGPT: five priorities for research.

Walton, S. M., Thong, J. Y. L., & Xu, X. (2012). CONSUMER ACCEPTANCE AND USE OF INFORMATION TECHNOLOGY: EXTENDING THE UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY 1 Viswanath Venkatesh.

Wolff, J. (2021). How Is Technology Changing the World, and How Should the World Change Technology? Global Perspectives, 2(1). https://doi.org/10.1525/gp.2021.27353

Zhang, M., & Li, J. (2021, November 1). A commentary of GPT-3 in MIT Technology Review 2021. Fundamental Research, Vol. 1, pp. 831–833. KeAi Communications Co. https://doi.org/10.1016/j.fmre.2021.11.011

Downloads

Published

2024-05-31

How to Cite

Sinaga, J. N., Panjaitan, E. S., & Nurjanah, S. . (2024). Analysis of Factors Affecting the Use of ChatGPT at Mikroskil University: A Study Based on the Extended UTAUT2 Model. Brilliance: Research of Artificial Intelligence, 4(1), 151–161. https://doi.org/10.47709/brilliance.v4i1.3862