The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Influence Factors of ChatGPT Intention to Use by Extended Technology Acceptance Model

기술수용모델의 확장을 통한 ChatGPT 이용의도 영향요인 탐색연구

  • Su-Ji Moon (Dept. of Creative Writing & Contents Creation, Daejin University)
  • 문수지 (대진대학교 문예콘텐츠창작학과)
  • Received : 2024.02.03
  • Accepted : 2024.04.12
  • Published : 2024.04.30
Download PDF
⟨ Previous Next ⟩

Abstract

This study explored the factors affecting the intention to use ChatGPT for adult men and women. The results are summarized and presented based on the hypothesis as follows. First, perceived ease of use had a positive effect on perceived usefulness. Second, information reliability did not have a significant effect on perceived usefulness. Third, information quickness had a positive effect on perceived usefulness. Fourth, perceived ease of use had a positive effect on user satisfaction. Fifth, perceived usefulness had a positive effect on user satisfaction. Sixth, information reliability did not have a significant effect on user satisfaction. Seventh, information quickness had a positive effect on user satisfaction. Eighth, user satisfaction had a positive effect on the intention to use.

본 연구는 성인남녀를 대상으로 ChatGPT 이용의도에 영향을 미치는 요인을 탐색하였다. 가설을 중심으로 결과를 요약, 제시하면 다음과 같다. 첫째, 인지된 용이성은 인지된 유용성에 정적 영향을 미친 것으로 나타났다. 둘째, 정보 신뢰성은 인지된 유용성에 유의한 영향을 미치지 못하였다. 셋째, 정보제공 신속성은 인지된 유용성에 정적 영향을 미친 것으로 나타났다. 넷째, 인지된 용이성은 이용자 만족에 정적 영향을 미치는 것으로 나타났다. 다섯째, 인지된 유용성은 이용자 만족에 정적 영향을 미치는 것으로 나타났다. 여섯째, 정보 신뢰성은 이용자 만족에 유의한 영향을 미치지 못하였다. 일곱째, 정보제공 신속성은 이용자 만족에 정적 영향을 미친 것으로 나타났다. 여덟째, 이용자 만족은 이용의도에 정적 영향을 미친 것으로 나타났다.

Keywords

References

  1. X. Ma and Y. Huo, "Are Users Willing to Embrace ChatGPT? Exploring the Factors on the Acceptance of Chatbots From the Perspective of AIDUA Framework," Technology in Society, vol. 75, 2023, 102362.
  2. T. Wu, S. He, J. Liu, S. Sun, K. Liu, Q. L. Han, and Y. Tang, "A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development," IEEE/CAA J. of Automatica Sinica, vol. 10, no. 5, 2023, pp. 1122-1136. https://doi.org/10.1109/JAS.2023.123618
  3. J. S. Lee, H. S. Lee, and W. J. Choi, "A Study on iNterface and Interaction using ChatGPT System in Virtual Reality Space," J. of The Korea Institute of Electronic Communication Sciences, vol. 18, no. 6, 2023, pp. 1285-1290.
  4. D. E. Shin and H. Y. Oh, "Analysis of ChatBot Research Trends for Diagnosis and Treatment of Depression," J. of The Korea Institute of Electronic Communication Sciences, vol. 27, no. 3, 2023, pp. 337-347. https://doi.org/10.6109/jkiice.2023.27.3.337
  5. K. Kim, "Method of ChatBot Implementation Using Bot Framework," J. of The Korea Institute of Electronic Communication Sciences, vol. 15, no. 1, 2022, pp. 56-61.
  6. O. Beran, "An Attitude Towards an Artificial Soul? Responses to the 'Nazi Chatbot'," Philosophical Investigations. vol. 41, no. 1, 2018, pp. 42-69. https://doi.org/10.1111/phin.12173
  7. X. Luo, S. Tong, Z. Fang, and Z. Qu, "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, vol. 38, no. 6, 2019, pp. 937-947.
  8. C. W. Kim and H. M. Cho, "A Study on the Intention to Continue Participation in K-Pop Concert Based on Augmented Reality: Focusing on Value-Based Adoption Model and Satisfaction," The J. of the Korea Contents Association, vol. 23, no. 2, 2023, pp. 439-449. https://doi.org/10.5392/JKCA.2023.23.02.439
  9. K. Liu, C. K. Or, M. So, B. Cheung, B. Chan, A. Tiwari, and J. T. "A Longitudinal Examination of Tablet Self-Management Technology Acceptance by Patients with Chronic Diseases: Integrating Perceived Hand function, Perceived Visual Function, and Perceived Home Space Adequacy with the TAM and TPB," Applied Ergonomics, vol. 100, 2022, 103667.
  10. T. J. Habibie, R. Yasirandi, and D. Oktaria, "The Analysis of Pangandaran Fisherman's Actual Usage Level of GPT based on TAM Model," Procedia Computer Science, vol. 197, 2022, pp. 34-41. https://doi.org/10.1016/j.procs.2021.12.115
  11. W. A. Cidral, T. Oliveira, M. Di Felice, and M. Aparicio, "E-Learning Success Determinants: Brazilian Empirical Study," Computers & Education, vol. 122, 2018, pp. 273-290.
  12. P. A. Ratna and S. Mehra, "Exploring the Acceptance for e-Learning using Technology Acceptance Model among University Students in India," Int. J. of Process Management and Benchmarking, vol. 5, no. 2, 2015, pp. 194-210. https://doi.org/10.1504/IJPMB.2015.068667
  13. H. M. Cho and C. W. Kim, "A Study on the Intention to Use of Augmented Reality-based Educational Content," J. of Digital Convergence, vol. 20, no. 4, 2022, pp. 541-551.
  14. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, "User Acceptance of Information Technology: Toward a Unified View," MIS Quarterly, vol. 27, no. 3, 2003, pp. 425-478. https://doi.org/10.2307/30036540
  15. C. W. Kim and W. J. Kim, "Factors Influencing the Intention to Continue using OTT Services by Applying Extended Technology Acceptance Model: Focusing on Moderating Effects of Gender and Age," The J. of Image and Cultural Contents, vol. 30, 2023, pp. 79-108.
  16. F. Abdullah and R. Ward, "Developing a General Extended Technology Acceptance Model for E-Learning(GETAMEL) by Analysing Commonly Used External Factors," Computer in Human Behavior, vol. 56, 2016, pp. 238-256. https://doi.org/10.1016/j.chb.2015.11.036
  17. F. D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, vol. 13, no. 3, 1989, pp. 319-340. https://doi.org/10.2307/249008
  18. M. K. Lee, W. J. Kim, and M. H. Song, "A Study on the Factors Influencing Continuous Intention to Use of OTT Service Users: Focused on the Extension of Technology Acceptance Model," J. of Digital Convergence, vol. 17, no. 11, 2019, pp. 537-546.
  19. S. Pan and M. Jordan-Marsh, "Internet Use Intention and Adoption among Chense Older Adults: From the Expanded Tehnology Acceptance Model Perspective," Computers in Human Behavior, vol. 26, 2010, pp. 1111-1119. https://doi.org/10.1016/j.chb.2010.03.015
  20. J. Chen, "Adoption of M-Learning apps: A Sequential Mediation Analysis and the Moderating Role of Personal Innovativeness in Information Technology," Computers in Human Behavior Reports, vol. 8, 2022, 100237.
  21. I. Panagiotopoulos and G. Dimitrakopoulos, "An Empirical Investigation on Consumers' Intentions Towards Autonomous Driving," Transportation Research Part C: Emerging Technologies, vol. 95, 2018, pp. 773-784. https://doi.org/10.1016/j.trc.2018.08.013
  22. M. Mailizar, D. Burg, and S. Maulina, "Examining University Students' Beahvioural Intention to Use e-Learning During the COVID-19 Pandemic: An Extended TAM Model," Education and Information Technologies, vol. 26, 2021, pp. 7057-7077. https://doi.org/10.1007/s10639-021-10557-5
  23. Y. J. Min, J. K. Ahn, and S. Y. Kim, "Structural Relationship Analysis Between the Intention to Use Educational Chatbots and Influential Factors Based on Tehcnology Acceptance Model," The J. of Educaitonal Information and Media, vol. 26, no. 4, 2020, pp. 799-825. https://doi.org/10.15833/KAFEIAM.26.4.799
  24. J. M. Park and S. J. Choi, "The Effect of Credibility on the Information Content of Management Forecasts," Korea J. of Business Administration, vol. 25, no. 2, 2012, pp. 1153-1181.
  25. Y. S. Hyun, "The Relations Between eWOM's Information Characteristics and eWOM's Information Acceptance about the Programs of Lifelong Education: Focused on the Mediated Effects of eWOM's Information Creidbility and Usefulness," J. of Lifelong Education, vol. 29, no. 1, 2023, pp. 157-192. https://doi.org/10.52758/kjle.2023.29.1.157
  26. O. Ali, P. A. Murray, M. Momin, and F. S. Al-Anzi, "The Knowledge and Innovation Challenges of ChatGPT: A Scoping Review," Technology in Society, vol. 75, 2023, 102402.
  27. B. Niu, G. Florentin, and N. Mvondo, "I Am ChatGPT, the Ultimate AI Chatbot! Investigating the Determinants of Users' Loyalty and Ethical Concerns of ChatGPT," J. of Retailing and Consumer Services, vol. 76, 2024, 103562.
  28. C. S. Lee, H. B. Lee, S. M. Lee, and J. H. Kim, "The Effect of WOM's Information Characteristics on WOM Adoption in the Online Shopping Chontext: Focused on the Mediating Roles of Trust and Usefulness," Korea Research Academy of Distribution and Management Review, vol. 16, no. 3, 2013, pp. 59-75. https://doi.org/10.17961/jdmr.16.3.201306.59
  29. J. H. Hwang and Y. S. Kim, "The Effects of Consumers' Perception of Credibility and Usefulness of Review on Purchase Intention in Aviation.Lodging Application," J. of Hotel & Resort, vol. 21, no. 6, 2022, pp. 45-62.
  30. J. W. Yu and H. J. Keum, "Twitter as a Risk Information Source: The Effect of Update Recency and Social Endorsement on Credibility Judgements," Korean J. of Broadcasting and Telecommunication Studies, vol. 32, no. 1, 2018, pp. 33-65.
  31. N. T. M. Demoulin and K. Coussement, "Acceptance of Text-Mining Systems: The Signaling Role of Information Quality," Information & Management, vol. 57, no. 1, 2020, 103120.
  32. M. Ge, M. Helfert, and D. Jannach, "Information Quality Assessment: Validating Measurement Dimensions and Processes," European Conference on Information Systems 2011 proceedings, vol. 75, 2011, pp. 1-13.
  33. F. Xu and J. T. Du, "Factors Influencing Users' Satisfaction and Loyalty to Digital Libraries in Chinese Universities," Computers in Human Behavior, vol. 83, 2018, pp. 64-72. https://doi.org/10.1016/j.chb.2018.01.029
  34. J. H. Park, J. K. Jun, and J. J. Lee, "A Study on User Satisfaction of Smart Home Technology Using Technology Acceptance Model(TAM)," J. of Industrial Innovation, vol. 37, no. 2, 2021, pp. 83-106.
  35. R. Oliver, "A Cognitive Model of the Antecedents and Consequences of Satisfactiion Decisions," J. of Marketing Research, vol. 17, no. 4, 1980, pp. 460-469. https://doi.org/10.1177/002224378001700405
  36. P. B. Seddon, "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information System Research, vol. 8, no. 3, 1997, pp. 240-253. https://doi.org/10.1287/isre.8.3.240
  37. Y. J. Seo and K. H. Um, "The Role of Service Quality in Fostering Different Types of Percieved Value for Student Blended Learning Satisfaction," J. of Computing in Highter Education, vol. 35, 2023, pp. 521-549.
  38. A. Elnagar, N. Alnazzawi, I. Afyouni, I. Shahin, A. B. Nassif, and S. A. Salloum, "Prediction of the Intention to Use a Smartwatch: A Comparative Approach using Machine Learning and Partial Least Squares Structural Equation Modeling," Informatics in Medicine Unlocked, vol. 29, 2022, 100913.
  39. J. H. Lee and K. U. Lim, "A Study on the Influence of Service Qaulity of a Tourist Information Center on Information Credibility, Satisfaction, and Behavioral Intention at Incheon International Airport," Int. J. of Tourism and Hospitality Research, vol. 33, no. 7, 2019, pp. 161-177. https://doi.org/10.21298/IJTHR.2019.7.33.7.161
  40. T. J. Yoon, W. S. Shim, and J. K. Lee, "The Effect of Reliability on the Satisfaction of Tourism Destination Area in Mobile Toursim Destination: The Moderating Effects of Tourist Destination Image and Attachment," J. of Tourism Management Research, vol. 22, no. 3, 2018, pp. 25-46. https://doi.org/10.18604/tmro.2018.22.3.2
  41. K. O. Park, E. R. Lee, and J. D. Hyun, "Effects of Job Satisfaction on the Characteristics of Organization and Information Systems: Moderating Effects of Vision Sharing," Management & Information Systems Review, vol. 37, no. 3, 2018, pp. 115-130.
  42. X. Li, S. M. Huang, and S. R. Shim, "A Study on the Relationship among Service Quality, Customer Satisfaction and Reuse Intention of Intelligent Delivery Service in China Focusing on the Use of Smart Express Box," International Commerce and Information Review, vol. 22, no. 4, 2020, pp. 43-62. https://doi.org/10.15798/kaici.2020.22.4.43
  43. V. Venkatesh and F. D. Davis, "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, vol. 46, no. 2, 2000, pp. 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  44. I. A. Ambalov, "A Meta-Analaysis of IT Continuance: An Evaluation of the Expectation-Confirmation Model," Telematics and Informatics, vol. 35, no. 6, 2018, pp. 1561-1571. https://doi.org/10.1016/j.tele.2018.03.016
  45. B. Nascimento, T. Oliveira, and C. Tam, "Wearable Technology: What Explains Continuance Intention in Smartwatch?," J. of Retailing and Consumer Services, vol. 43, 2018, pp. 157-169. https://doi.org/10.1016/j.jretconser.2018.03.017
  46. I. Almarashdeh, N. Ashaari, N. A. Mat Zin, and M. Alsmadi, "The Success of Learning Management System among Distance Learners in Malaysian Universities," J. of Theoretical and Applied Information Technology, vol. 21, no. 2, 2010, pp. 80-91.