Students behaviour toward voice assistant technology in the UAE

Recently, voice assistant’s technology has become a universal learning assistant approach for students to such an extent that they can no longer use their hands to study. The aim of this research is to investigate higher education students’ behaviour towards artificial intelligence voice assistants...

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Main Author: Al Shamsi, Jawaher (author)
Published: 2021
Subjects:
Online Access:https://bspace.buid.ac.ae/handle/1234/1887
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author Al Shamsi, Jawaher
author_facet Al Shamsi, Jawaher
author_role author
dc.creator.none.fl_str_mv Al Shamsi, Jawaher
dc.date.none.fl_str_mv 2021-08-15T05:20:27Z
2021-08-15T05:20:27Z
2021-05
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 20190486
https://bspace.buid.ac.ae/handle/1234/1887
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv voice assistants
Technology Acceptance Model (TAM)
AI virtual assistant
personal digital assistant
education
United Arab Emirates (UAE)
voice assistant technology
dc.title.none.fl_str_mv Students behaviour toward voice assistant technology in the UAE
dc.type.none.fl_str_mv Dissertation
description Recently, voice assistant’s technology has become a universal learning assistant approach for students to such an extent that they can no longer use their hands to study. The aim of this research is to investigate higher education students’ behaviour towards artificial intelligence voice assistants in the United Arab Emirates, such as Siri, Alexa, Google and Cortana etc. This research has three main objectives. First, to review most commonly adopted external variables for adoption and acceptance of voice assistant studies in the TAM. In order to carry out a systematic analysis, the quantitative study technique is based of 42 papers published in the past 10 years. The independent variables of TAM, which includes: (Subjective norms (SN), Enjoyment (ENJ), Facilitating Conditions (FC), Trust (TR), and Security (SR)), were defined as the most commonly used. Second, to generate a conceptual framework by applying TAM model with most commonly adopted external variables. Third, to conduct a current conceptual framework by employing the PLS-SEM procedure, which is appropriate for the context of our research. A questionnaire survey was used to gather data from four universities in the United Arab Emirates which have adopted the voice assistant system. The overall number of students that were involved in this research were 300 students. Based on the study’s findings, the results indicate that there was a significant influence of enjoyment and trust on students' perceived usefulness of using voice assistant technology. In addition to that, trust and facilitating conditions have positively impacted the students' perceived ease of use of voice assistant systems. Moreover, perceived usefulness and perceived ease of use has contributed to grow the students' behavior intention to use voice assistant technology.
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publishDate 2021
publisher.none.fl_str_mv The British University in Dubai (BUiD)
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spelling Students behaviour toward voice assistant technology in the UAEAl Shamsi, Jawahervoice assistantsTechnology Acceptance Model (TAM)AI virtual assistantpersonal digital assistanteducationUnited Arab Emirates (UAE)voice assistant technologyRecently, voice assistant’s technology has become a universal learning assistant approach for students to such an extent that they can no longer use their hands to study. The aim of this research is to investigate higher education students’ behaviour towards artificial intelligence voice assistants in the United Arab Emirates, such as Siri, Alexa, Google and Cortana etc. This research has three main objectives. First, to review most commonly adopted external variables for adoption and acceptance of voice assistant studies in the TAM. In order to carry out a systematic analysis, the quantitative study technique is based of 42 papers published in the past 10 years. The independent variables of TAM, which includes: (Subjective norms (SN), Enjoyment (ENJ), Facilitating Conditions (FC), Trust (TR), and Security (SR)), were defined as the most commonly used. Second, to generate a conceptual framework by applying TAM model with most commonly adopted external variables. Third, to conduct a current conceptual framework by employing the PLS-SEM procedure, which is appropriate for the context of our research. A questionnaire survey was used to gather data from four universities in the United Arab Emirates which have adopted the voice assistant system. The overall number of students that were involved in this research were 300 students. Based on the study’s findings, the results indicate that there was a significant influence of enjoyment and trust on students' perceived usefulness of using voice assistant technology. In addition to that, trust and facilitating conditions have positively impacted the students' perceived ease of use of voice assistant systems. Moreover, perceived usefulness and perceived ease of use has contributed to grow the students' behavior intention to use voice assistant technology.The British University in Dubai (BUiD)2021-08-15T05:20:27Z2021-08-15T05:20:27Z2021-05Dissertationapplication/pdf20190486https://bspace.buid.ac.ae/handle/1234/1887enoai:bspace.buid.ac.ae:1234/18872021-10-20T11:19:25Z
spellingShingle Students behaviour toward voice assistant technology in the UAE
Al Shamsi, Jawaher
voice assistants
Technology Acceptance Model (TAM)
AI virtual assistant
personal digital assistant
education
United Arab Emirates (UAE)
voice assistant technology
title Students behaviour toward voice assistant technology in the UAE
title_full Students behaviour toward voice assistant technology in the UAE
title_fullStr Students behaviour toward voice assistant technology in the UAE
title_full_unstemmed Students behaviour toward voice assistant technology in the UAE
title_short Students behaviour toward voice assistant technology in the UAE
title_sort Students behaviour toward voice assistant technology in the UAE
topic voice assistants
Technology Acceptance Model (TAM)
AI virtual assistant
personal digital assistant
education
United Arab Emirates (UAE)
voice assistant technology
url https://bspace.buid.ac.ae/handle/1234/1887