Abstract
| Language | English |
|---|---|
| Title of host publication | Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery, Inc |
| Number of pages | 11 |
| ISBN (Electronic) | 978-1-4503-5970-2 |
| DOIs | |
| State | 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 | United Kingdom |
| City | Glasgow |
| Period | 4/05/19 → 9/05/19 |
| Internet address |
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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.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - At your service: designing voice assistant personalities to improve automotive user interfaces
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.
KW - Automotive UI, Voice Assistant, Personalization, Personality
U2 - 10.1145/3290605.3300270
DO - 10.1145/3290605.3300270
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
ER -