Citation

Pang, Wei Ming and Liew, Tze Wei and Tan, Su Mae and Teo, Siew Chein and Lee, Yi Yong and Lim, Tze Qing (2024) Analyzing Use Intentions for Health-Diagnostic Chatbots: An Extended Technology Acceptance Model Approach. In: 6th World Symposium on Software Engineering, WSSE 2024, 13 - 15 September 2024, Kyoto, Japan.

Text Analyzing Use Intentions for Health-Diagnostic Chatbots_ An Extended Technology Acceptance Model Approach.pdf - Published Version Restricted to Repository staff only Download (253kB)

Abstract

This study investigates the factors influencing the intention to use AI-powered health diagnostic chatbots. A research model was proposed based on the Technology Acceptance Model, subjective norms, perceived trust, perceived risk, and self-efficacy. Using Partial Least Squares Structural Equation Modeling, the study assessed the model with 274 valid responses. The results revealed that perceived usefulness, subjective norms, perceived trust, and self-efficacy significantly influence the intention to use AI-powered health diagnostic chatbots. However, perceived ease of use and perceived risk did not impact the intention to use such chatbots. The study also discusses how these findings can assist developers in promoting the long-term adoption of AI-powered health diagnostic chatbots among potential users.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	AI-powered health diagnostic chatbot
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Business (FOB) Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	20 Feb 2025 06:17
Last Modified:	20 Feb 2025 07:46
URII:	http://shdl.mmu.edu.my/id/eprint/13512

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