@inproceedings{a47a9d0d26a7462992c7b2aecd1d2a62,
title = "Determinants of Consumers{\textquoteright} Acceptance of Voice Assistance Technology: Integrating the Service Robot Acceptance Model and Unified Theory of Acceptance and Use of Technology: Research-in-Progress",
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{\textquoteright} acceptance of the use of digital voice assistants in their daily lives and suggests a model that considers the factors that enable their acceptance.",
keywords = "Augmented reality, Consumer behavior, Siri, Technology adoption, UTAUT, Virtual reality, Voice assistance",
author = "Lhia Al-Makhmari and Abrar Al-Bulushi and Samiha Al-Habsi and Ohood Al-Azri and Ali Tarhini",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Information Systems and Intelligent Applications, ICISIA 2022 ; Conference date: 01-07-2022 Through 02-07-2022",
year = "2023",
doi = "10.1007/978-3-031-16865-9_48",
language = "English",
isbn = "9783031168642",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "603--612",
editor = "Mostafa Al-Emran and Khaled Shaalan and Al-Sharafi, {Mohammed A.}",
booktitle = "International Conference on Information Systems and Intelligent Applications - ICISIA 2022",
address = "Germany",
}