Users’ Acceptance of Artificial Intelligence-Based Chatbots: An Empirical Study

  • Mahendar Goli
  • , Anoop Kumar Sahu
  • , Surajit Bag
  • , Pavitra Dhamija

Research output: Contribution to journalArticlepeer-review

47 Citations (Scopus)

Abstract

This research examines the effects of factors such as perceived ease of use, perceived usefulness, perceived enjoyment, innovativeness, perceived information quality, and perceived customisation on behavioural intention to use Chatbots. The research model designed is empirically validated using structural equation modelling with the aid of AMOS software. A five-point Likert scale-based structured questionnaire was used to collect data from 378 Chatbot users in an online method. The results indicated that the perceived ease of use, perceived usefulness, innovativeness, perceived information quality, and perceived customisation have positive effects on intention to use Chatbots, whereas perceived enjoyment is found to exert no effect. The research further discussed implications and future directions of research.

Original languageEnglish
Article number81
JournalInternational Journal of Technology and Human Interaction
Volume19
Issue number1
DOIs
Publication statusPublished - 2023

Keywords

  • Artificial Intelligence
  • Chatbots
  • Technology Acceptance Model

ASJC Scopus subject areas

  • Information Systems
  • Human-Computer Interaction

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