Determinants of Consumers’ Acceptance of Voice Assistance Technology: Integrating the Service Robot Acceptance Model and Unified Theory of Acceptance and Use of Technology: Integrating the Service Robot Acceptance Model and Unified Theory of Acceptance and Use of Technology: Research-in-Progress

Lhia Al-Makhmari, Abrar Al-Bulushi, Samiha Al-Habsi, Ohood Al-Azri, Ali Tarhini*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Users are increasingly using AI-based applications in their daily activities, with voice assistants playing a more advanced and pervasive role. However, little is known about the specific drivers of user acceptance of voice assistance technology. Therefore, a conceptual model was developed that integrates factors from the Service Robot Acceptance Model (sRAM), and Unified Theory of Acceptance and Use of Technology (UTAUT). The model will be tested with a large-scale survey of respondents of different ages, genders, and educational levels. This ongoing research focuses on users’ acceptance of the use of digital voice assistants in their daily lives and suggests a model that considers the factors that enable their acceptance.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems and Intelligent Applications - ICISIA 2022
EditorsMostafa Al-Emran, Khaled Shaalan, Mohammed A. Al-Sharafi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages603-612
Number of pages10
ISBN (Print)9783031168642
DOIs
Publication statusPublished - Oct 23 2022
EventInternational Conference on Information Systems and Intelligent Applications, ICISIA 2022 - Virtual, Online
Duration: Jul 1 2022Jul 2 2022

Publication series

NameLecture Notes in Networks and Systems
Volume550 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Information Systems and Intelligent Applications, ICISIA 2022
CityVirtual, Online
Period7/1/227/2/22

Keywords

  • Augmented reality
  • Consumer behavior
  • Siri
  • Technology adoption
  • UTAUT
  • Virtual reality
  • Voice assistance

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

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