https://orcid.org/0000-0002-6280-6945
![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
ABSTRACT
Advanced speech recognition technology facilitated the development of voice-based smart devices. Voice user interface (VUI) is now a common feature on smartphones, computers, smart home devices, and car systems. The fragmented and context focused literature on VUI motivates this examination of the relationship between perceived quality and customer satisfaction in VUI portable devices. This study is the first to introduce extrinsic motivational factors as an extension to Wixom and Todd’s model. These additional antecedent factors add an enriched explanation of VUI user behavior. This study is also the first to consider the role of gender in a VUI behavior model. Our findings suggest that the proposed driving factors, including trust, perceived risks, perceived enjoyment, and mobile self-efficacy, significantly affect VUI user attitudes, which influence their continuance intention. Our results also address the role of gender on the association of attitude toward VUI use and its antecedents. The findings show that perceived risk (privacy concerns) and perceived ease of use are more influential on VUI use behavior of males than females. However, the effect of trust and mobile self-efficacy play a more crucial role for females than males.
Additional information
Notes on contributors
Quynh N. Nguyen
Quynh N. Nguyen is a Ph.D. candidate in Business Computer Information Systems in the Information Technology and Decision Sciences Department at the University of North Texas, Texas, USA. Her current research focuses on human interaction with artificial intelligence, social media, technology acceptance and diffusion of emerging technologies.
Anh Ta
Anh Ta is a PhD candidate in Management Science in the Information Technology and Decision Sciences Department at the University of North Texas. His current research interests include healthcare management, consumers’ eco–friendly purchasing behavior, supply chain management, structural equation modeling and optimization.
Victor Prybutok
Victor Prybutok Ph.D., CQE, CQA, CMQ/OE, PSTAT®, is a Regents Professor of Decision Sciences in the Information Technology and Decision Sciences Department and the Dean and Vice Provost of the Toulouse Graduate School at the University of North Texas. He has authored over 180 journal articles and more than 250 conference presentations.