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Review

A Survey on Multi-User Conversational Interfaces

1
Dialogue Systems Group, Ulm University, Albert-Einstein-Allee 43, 89081 Ulm, Germany
2
Departamento de Lenguajes y Sistemas Informáticos, E.T.S. de Ingenierías Informática y de Telecomunicación, Universidad de Granada, C/ Periodista Daniel Saucedo Aranda S/N, 18071 Granada, Spain
3
Chair for Human-Centered Artificial Intelligence, Faculty of Applied Computer Science, University of Augsburg, Universitätsstraße 6, 86159 Augsburg, Germany
*
Author to whom correspondence should be addressed.
Current address: Natural Language Generation and Dialogue Systems Group, University of Bamberg, Kapuzinerstraße 16, 96047 Bamberg, Germany
Appl. Sci. 2025, 15(13), 7267; https://doi.org/10.3390/app15137267 (registering DOI)
Submission received: 6 May 2025 / Revised: 11 June 2025 / Accepted: 25 June 2025 / Published: 27 June 2025
(This article belongs to the Special Issue Affective Computing for Human–Computer Interactions)

Abstract

This paper investigates the evolving landscape of Multi-User Conversational Interfaces, addressing the limitations of traditional systems that primarily focus on single-user interactions. As real-world applications grow more complex, there is a pressing need for conversational systems capable of facilitating dialogues among multiple participants. Our systematic survey reviews recent advancements in the field, highlighting innovative architectures, application domains, user and dialogue modelling, and evaluation metrics tailored for multi-user contexts. We conduct a comprehensive analysis of relevant literature, employing both quantitative and qualitative methodologies to identify common patterns and challenges in multi-user interactions. The findings underscore the importance of developing robust interfaces that can effectively manage overlapping dialogues, ensure collaborative group work, and enhance overall conversational quality. This work contributes to the understanding of Multi-User Conversational Interfaces and may help as a basis for future research aiming to develop more natural, user-friendly, and effective conversational interfaces.
Keywords: multi-user interaction; multi-user evaluation; multi-user robotic agents; human–computer interaction; dialogue systems multi-user interaction; multi-user evaluation; multi-user robotic agents; human–computer interaction; dialogue systems

Share and Cite

MDPI and ACS Style

Wagner, N.; Kraus, M.; Minker, W.; Griol, D.; Callejas, Z. A Survey on Multi-User Conversational Interfaces. Appl. Sci. 2025, 15, 7267. https://doi.org/10.3390/app15137267

AMA Style

Wagner N, Kraus M, Minker W, Griol D, Callejas Z. A Survey on Multi-User Conversational Interfaces. Applied Sciences. 2025; 15(13):7267. https://doi.org/10.3390/app15137267

Chicago/Turabian Style

Wagner, Nicolas, Matthias Kraus, Wolfgang Minker, David Griol, and Zoraida Callejas. 2025. "A Survey on Multi-User Conversational Interfaces" Applied Sciences 15, no. 13: 7267. https://doi.org/10.3390/app15137267

APA Style

Wagner, N., Kraus, M., Minker, W., Griol, D., & Callejas, Z. (2025). A Survey on Multi-User Conversational Interfaces. Applied Sciences, 15(13), 7267. https://doi.org/10.3390/app15137267

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