Abstract
AbstractWe investigated user voice switching behavior (VSB) in voice‐enabled digital assistants (VDAs), focusing on the importance of and preference for the voice accents, genders, and age to match with those of the users. We incorporated images of ten people with diverse races, ethnicities, age, genders, and religions to embody the voice interfaces (EVIs). In an online survey, we collected demographic, background, and VDA usage data. The sample consisted of 214 participants recruited through Amazon Mechanical Turk (http://mturk.com). The participants were selected based on owning a VDA (e.g., Alexa Home) or owning a device (e.g., smartphone, tablet, or computer), and setting the device on English as the default language. The age of the participants ranged from 18–35 years. Findings revealed that, regardless of age, the majority of the participants switched the voice interface and for various reasons. Further, participants placed importance on voice matching with their gender, accent, and age. Participants ranked the young White female, Asian female, and Black female EVIs as the most preferred for voice switching and interactions. We coin the concept, Interface mirroring, which should help designers to create more diverse and inclusive EVIs, ensuring fairness and equality in the design of VDAs.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Proceedings of the Association for Information Science and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.