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Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot

This study examines undergraduate students' behavioural intention to use AI chatbots, with a special focus on three critical aspects: trustworthiness, considered privacy risk, and perceived communication quality. Understanding the elements that affect students' acceptance of AI chatbots is...

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Main Authors: Kheow, Kar Lin, Seow, Yin Jeh
Format: Final Year Project / Dissertation / Thesis
Published: 2024
Subjects:
HA Statistics
HM Sociology
Online Access:http://eprints.utar.edu.my/595/1/Kheow_Kar_Lin_2005336.pdf
http://eprints.utar.edu.my/595/
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spelling my-utar-eprints.5952025-01-24T03:00:49Z Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot Kheow, Kar Lin Seow, Yin Jeh HA Statistics HM Sociology This study examines undergraduate students' behavioural intention to use AI chatbots, with a special focus on three critical aspects: trustworthiness, considered privacy risk, and perceived communication quality. Understanding the elements that affect students' acceptance of AI chatbots is essential as these technologies proliferate in educational settings. Based on the Technology Acceptance Model (TAM), expands on it by analysing the effects of perceived communication quality, perceived privacy risk, and trustworthiness on students' propensity to use AI chatbots. A well-organised Google Form questionnaire was used to collect data from 400 undergraduate students as part of a quantitative study strategy. The study analysed the data and tested the research hypotheses using descriptive, reliable, and inferential statistical analyses carried out using SPSS. The results show that behavioural intention significantly correlates with perceived privacy risk and trustworthiness, but not with perceived communication quality, which does not show a statistically significant correlation. As the survey shows, consumers' inclination to interact with AI technology mostly depends on trustworthiness, but privacy concerns continue to remain a significant obstacle to chatbot adoption. These discoveries have ramifications for the technology industry as well as for education. Theoretically, the study advances the TAM paradigm in research on AI adoption by offering a deeper comprehension of the variables affecting students' behavioural intention of AI technologies. The study guides how educators and developers might create AI chatbots that more effectively address privacy concerns and foster confidence to boost adoption. In conclusion, the study recognises its limitations, including the utilisation of closed-ended enquiries, and offers suggestions for future research aimed at delving further into these traits. 2024-06 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/595/1/Kheow_Kar_Lin_2005336.pdf Kheow, Kar Lin and Seow, Yin Jeh (2024) Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot. Final Year Project, UTAR. http://eprints.utar.edu.my/595/
institution Universiti Tunku Abdul Rahman
building UTAR Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
url_provider http://eprints.utar.edu.my
topic HA Statistics
HM Sociology
spellingShingle HA Statistics
HM Sociology
Kheow, Kar Lin
Seow, Yin Jeh
Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot
description This study examines undergraduate students' behavioural intention to use AI chatbots, with a special focus on three critical aspects: trustworthiness, considered privacy risk, and perceived communication quality. Understanding the elements that affect students' acceptance of AI chatbots is essential as these technologies proliferate in educational settings. Based on the Technology Acceptance Model (TAM), expands on it by analysing the effects of perceived communication quality, perceived privacy risk, and trustworthiness on students' propensity to use AI chatbots. A well-organised Google Form questionnaire was used to collect data from 400 undergraduate students as part of a quantitative study strategy. The study analysed the data and tested the research hypotheses using descriptive, reliable, and inferential statistical analyses carried out using SPSS. The results show that behavioural intention significantly correlates with perceived privacy risk and trustworthiness, but not with perceived communication quality, which does not show a statistically significant correlation. As the survey shows, consumers' inclination to interact with AI technology mostly depends on trustworthiness, but privacy concerns continue to remain a significant obstacle to chatbot adoption. These discoveries have ramifications for the technology industry as well as for education. Theoretically, the study advances the TAM paradigm in research on AI adoption by offering a deeper comprehension of the variables affecting students' behavioural intention of AI technologies. The study guides how educators and developers might create AI chatbots that more effectively address privacy concerns and foster confidence to boost adoption. In conclusion, the study recognises its limitations, including the utilisation of closed-ended enquiries, and offers suggestions for future research aimed at delving further into these traits.
format Final Year Project / Dissertation / Thesis
author Kheow, Kar Lin
Seow, Yin Jeh
author_facet Kheow, Kar Lin
Seow, Yin Jeh
author_sort Kheow, Kar Lin
title Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot
title_short Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot
title_full Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot
title_fullStr Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot
title_full_unstemmed Examining the determinants and perceptions of undergraduate students in the use of Artificial Intelligence (AI) chatbot
title_sort examining the determinants and perceptions of undergraduate students in the use of artificial intelligence (ai) chatbot
publishDate 2024
url http://eprints.utar.edu.my/595/1/Kheow_Kar_Lin_2005336.pdf
http://eprints.utar.edu.my/595/
_version_ 1822914236523741184
score 13.226694

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