@inproceedings{f70635f4315941dd9b107b067c254ffb,
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",
year = "2021",
month = oct,
day = "1",
language = "English",
volume = "2960",
series = "CEUR Workshop Proceedings",
publisher = "Rheinisch-Westfaelische Technische Hochschule Aachen",
editor = "V. Anelli and P. Basile and {Di Noia}, T. and F. Donini and C. Musto and F. Narducci and M. Zanker and H. Abdollahpouri and T. Bogers and B. Mobasher and C. Petersen and M.S. Pera",
booktitle = "Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec)",
note = "Joint Workshop of the 3rd Knowledge-Aware and Conversational Recommender Systems and the 5th Recommendation in Complex Environments, KaRS-ComplexRec 2021 ; Conference date: 27-09-2021 Through 01-10-2021",
}