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Chatbot in smartphone self-paced learning: A study on technology acceptance among older adults in Malaysia

; 
Lim, Z.S.
; 
Lee, Y.
Publication Date
2023-09
End of Embargo
Supervisor
Keywords
Self-paced learning, Smartphone, Older adults, Chatbot
Rights
© 2023 IEEE. Reproduced in accordance with the publisher's self-archiving policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2023-05
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Department
Awarded
Embargo end date
Collections
Social Sciences Publications
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Additional title
Abstract
Older adults use their smartphones to learn new material but few studies examined their learning with the presence of a chatbot in a smartphone. We developed a three-week self-paced learning module on three topics (chatbot, QR scanner, Google Drive) using their smartphone. Our aims were to examine participants’ self-paced learning accuracy while exploring older adults acceptance of the chatbot. Twelve participants participated in this study (Mage: 64.75 years) for three weeks at their homes individually. Results showed that they had low accuracy for the chatbot but higher accuracy for the other two. Qualitative analyses indicated that participants disliked the chatbot and that good clarity in our instructional videos and slides may have contributed to the low acceptance for the chatbot. Our findings indicated that self-paced learning is feasible with slides and videos only, and to create more chatbot-related assessments to increase chatbot usage.
URI
http://hdl.handle.net/10454/19639
Version
Accepted manuscript
Citation
Yong MH, Lim ZS and Le Y (2023) Chatbot in smartphone self-paced learning: A study on technology acceptance among older adults in Malaysia. In: Proceedings of the 2023 International Conference on Intelligent Perception and Computer Vision (CIPCV). 19-21 May 2023, Xi'an, China. 57-62.
Link to publisher’s version
Link to published version
Link to Version of Record
https://doi.org/10.1109/CIPCV58883.2023.00019
Type
Conference paper
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Notes