At your service: designing voice assistant personalities to improve automotive user interfaces

Michael Braun, Anja Mainz, Ronee Chadowitz, Bastian Pfleging, Florian Alt

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Uittreksel

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.
TaalEngels
TitelProceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's11
ISBN van elektronische versie978-1-4503-5970-2
DOI's
StatusGepubliceerd - 4 mei 2019
EvenementAnnual ACM Conference on Human Factors in Computing Systems (CHI '19) - Glasgow, UK, Glasgow, Verenigd Koninkrijk
Duur: 4 mei 20199 mei 2019
https://chi2019.acm.org/

Congres

CongresAnnual ACM Conference on Human Factors in Computing Systems (CHI '19)
LandVerenigd Koninkrijk
StadGlasgow
Periode4/05/199/05/19
Internet adres

Vingerafdruk

User interfaces
Railroad cars

Trefwoorden

  • Automotive UI, Voice Assistant, Personalization, Personality

Citeer dit

Braun, M., Mainz, A., Chadowitz, R., Pfleging, B., & Alt, F. (2019). At your service: designing voice assistant personalities to improve automotive user interfaces. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems [40] New York: Association for Computing Machinery, Inc. DOI: 10.1145/3290605.3300270
Braun, Michael ; Mainz, Anja ; Chadowitz, Ronee ; Pfleging, Bastian ; Alt, Florian. / At your service: designing voice assistant personalities to improve automotive user interfaces. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. New York : Association for Computing Machinery, Inc, 2019.
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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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Braun, M, Mainz, A, Chadowitz, R, Pfleging, B & Alt, F 2019, At your service: designing voice assistant personalities to improve automotive user interfaces. in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems., 40, Association for Computing Machinery, Inc, New York, Annual ACM Conference on Human Factors in Computing Systems (CHI '19), Glasgow, Verenigd Koninkrijk, 4/05/19. DOI: 10.1145/3290605.3300270

At your service: designing voice assistant personalities to improve automotive user interfaces. / Braun, Michael; Mainz, Anja; Chadowitz, Ronee; Pfleging, Bastian; Alt, Florian.

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. New York : Association for Computing Machinery, Inc, 2019. 40.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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N2 - 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.

AB - 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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Braun M, Mainz A, Chadowitz R, Pfleging B, Alt F. At your service: designing voice assistant personalities to improve automotive user interfaces. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, Inc. 2019. 40. Beschikbaar vanaf, DOI: 10.1145/3290605.3300270