@conference{c8490425af6948d794618ecfd786972e,
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",
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 = "Voice assistance, UTAUT, Consumer behavior, Siri, Augmented reality, technology adoption, virtual reality",
author = "{Al Makhmari}, Lhia and Abrar Al-Bulushi and Samiha Al-Habsi and Ohood Al-Azri and Ali Tarhini",
note = "BEST PAPER AWARD This is to certify that Lhia Al-Makhmari, Abrar Al-Bulushi, Samiha Al-Habsi, Ohood Al-Azri and Ali Tarhini have presented and received the Best Paper Award for the paper entitled: Determinants of Consumers{\textquoteright} Acceptance of Voice Assistance Technology: Integrating the Service Robot Acceptance Model and Unified Theory of Acceptance and Use of Technology Presented in International Conference on Information Systems and Intelligent Applications (ICISIA 2022)",
year = "2022",
month = oct,
day = "23",
doi = "https://doi.org/10.1007/978-3-031-16865-9_48",
language = "English",
pages = "1--10",
}