@inproceedings{0934cd181e074f1d9d80746bb3ddd9d2,
title = "Voicing concerns: User-specific pitfalls of favoring voice over text in conversational recommender systems",
abstract = "In the context of Conversational Recommender Systems (CRSs) and Conversational User Interfaces (CUIs; e.g., Digital Assistants, such as Siri), an increasing number of voice-based applications are emerging, often at the expense of text-based applications. In this position paper, we argue that the possible first-mover advantage of adopting voice-based technologies may put specific groups of users at a profound disadvantage, as they are likely to run into accessibility issues. For example, users that stammer or whom are not fluent in the English language have a hard time using voice-based conversational recommender systems. Along this line, we describe a number of challenges and issues for current and future systems.",
keywords = "Accessibility, Conversational user interfaces, Inclusion, Recommender systems, Voice-based systems",
author = "Starke, {Alain D.} and Minha Lee",
note = "Publisher Copyright: {\textcopyright} 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; Joint Workshop of the 3rd Knowledge-Aware and Conversational Recommender Systems and the 5th Recommendation in Complex Environments, KaRS-ComplexRec 2021 ; Conference date: 25-09-2021 Through 25-09-2021",
year = "2021",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS.org",
booktitle = "KaRS-ComplexRec 2021 Joint Proceedings KaRS 2021 and ComplexRec 2021",
}