At your service: Designing voice assistant personalities to improve automotive user interfaces a real world driving study

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

doi:10.1145/3290605.3300270

At your service: Designing voice assistant personalities to improve automotive user interfaces a real world driving study

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

Future Everyday

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

28 Citations (Scopus)

481 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Place of Publication	New York, NY, USA
Publisher	Association for Computing Machinery, Inc
Number of pages	11
ISBN (Electronic)	978-1-4503-5970-2
DOIs	https://doi.org/10.1145/3290605.3300270
Publication status	Published - 4 May 2019
Event	Annual ACM Conference on Human Factors in Computing Systems (CHI '19) - Glasgow, UK, Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 https://chi2019.acm.org/

Conference

Conference	Annual ACM Conference on Human Factors in Computing Systems (CHI '19)
Country/Territory	United Kingdom
City	Glasgow
Period	4/05/19 → 9/05/19
Internet address	https://chi2019.acm.org/

Keywords

Automotive UI
Personality
Personalization
Voice assistant
Voice Assistant

Access to Document

10.1145/3290605.3300270

chi19-voice-assistant.pdfFinal author version , 1.26 MB

Cite this

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title = "At your service: Designing voice assistant personalities to improve automotive user interfaces a real world driving study",

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{\textquoteright}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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booktitle = "Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems",

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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 a real world driving study. in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems., 40, Association for Computing Machinery, Inc, New York, NY, USA, Annual ACM Conference on Human Factors in Computing Systems (CHI '19), Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290605.3300270

At your service : Designing voice assistant personalities to improve automotive user interfaces a real world driving study. / Braun, Michael; Mainz, Anja; Chadowitz, Ronee; Pfleging, Bastian; Alt, Florian.

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - At your service

AU - Braun, Michael

AU - Mainz, Anja

AU - Chadowitz, Ronee

AU - Pfleging, Bastian

AU - Alt, Florian

PY - 2019/5/4

Y1 - 2019/5/4

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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KW - Automotive UI

KW - Personality

KW - Personalization

KW - Voice assistant

KW - Voice Assistant

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M3 - Conference contribution

BT - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

PB - Association for Computing Machinery, Inc

CY - New York, NY, USA

Y2 - 4 May 2019 through 9 May 2019

ER -

At your service: Designing voice assistant personalities to improve automotive user interfaces a real world driving study

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Keywords

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