Cited by 182Speech and dialogue systemsSocial Robot Interaction and HRIAI in Service Interactions

At Your Service: Designing Voice Assistant Personalities to Improve Automotive User Interfaces

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Braun, Michael, Mainz, Anja, Chadowitz, Ronee, Pfleging, Bastian, Alt, Florian·2019·Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Abstract

This paper investigates personalized voice characters for in-car speech interfaces. In particular, we report on how we designed different personalities for voice assistants and compared them in a real world driving study. Voice assistants have become important for a wide range of use cases, yet current interfaces are using the same style of auditory response in every situation, despite varying user needs and personalities. To close this gap, we designed four assistant personalities (Friend, Admirer, Aunt, and Butler) and compared them to a baseline (Default) in a between-subject study in real traffic conditions. Our results show higher likability and trust for assistants that correctly match the user's personality while we observed lower likability, trust, satisfaction, and usefulness for incorrectly matched personalities, each in comparison with the Default character. We discuss design aspects for voice assistants in different automotive use cases.

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Research works printed but not linked: 5

  1. Ignacio Alvarez, Hanan Alnizami, Jerone Dunbar, Andrea Johnson, France Jackson, and Juan E. Gilber. 2011. Designing Driver-Centric Natural Voice User Interfaces. In Adjunct Proceedings of the 3rd In- ternational Conference on Automotive User Interfaces and Interactive Vehicular Applications. online, 156-159.
  2. Michael Argyle. 1988. Bodily communication (second ed.). Routledge, New York, NY.
  3. Ewa Luger and Abigail Sellen. 2016. "Like Having a Really Bad PA": The Gulf Between User Expectation and Experience of Conversational Agents. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 5286-5297. https://doi.org/10.1145/2858036.2858288 · DOI · Paper page
  4. Sonja Rümelin, Peter Siegl, and Andreas Butz. 2013. Could You Please...? Investigating Cooperation In The Car. In Adjunct Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '13), Eindhoven, The Netherlands, October 2013. (AutomotiveUI '13).
  5. Baoshi Yan, Fuliang Weng, Z. Feng, F. Ratiu, M. Raya, Y. Meng, S. Varges, M. Purver, A. Lien, T. Scheideck, B. Raghunathan, F. Lin, Rohit Mishra, Brian Lathrop, Zhaoxia Zhang, Harry Bratt, and Stanley Peters. 2007. A Conversational In-car Dialog System. In Proceedings of Human Language Technologies: Demonstrations (NAACL-Demonstrations '07). Association for Computational Linguistics, Stroudsburg, PA, USA, 23- 24. http://dl.acm.org/citation.cfm?id=1614164.1614176

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Authors
Braun, M., Mainz, A., Chadowitz, R., Pfleging, B., & Alt, F.
Affiliations
  • BMW (Germany) (DE)
  • Ludwig-Maximilians-Universität München (DE)
  • Universität der Bundeswehr München (DE)
Venue
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2019-05-02
Pages
1-11
OpenAlex
W2941327948
Cited by
182
References
47
Citations by year
2026: 13 · 2025: 20 · 2024: 28 · 2023: 32 · 2022: 24 · 2021: 33 · 2020: 25 · 2019: 7
FWCI
8.51
Type
conference paper
Language
en
Open access
Locations
  • CHI Conference on Human Factors in Computing Systems (publishedVersion)
  • TU/e Research Portal (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
Keywords
likeability, trust, user satisfaction

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