Conference Paper/Proceeding/Abstract 580 views
Keep it Short: A Comparison of Voice Assistants’ Response Behavior
Gabriel Haas,
Michael Rietzler,
Matt Jones,
Enrico Rukzio,
Matt Jones 
CHI Conference on Human Factors in Computing Systems
Swansea University Author:
Matt Jones
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1145/3491102.3517684
Abstract
Voice assistants (VAs) are present in homes, smartphones, and cars. They allow users to perform tasks without graphical or tactile user interfaces, as they are designed for natural language interaction. However, we found that currently, VAs are emulating human behavior by responding in complete sent...
| Published in: | CHI Conference on Human Factors in Computing Systems |
|---|---|
| ISBN: | 978-1-4503-9157-3 |
| Published: |
New York, NY, USA
ACM
2022
|
| Online Access: |
http://dx.doi.org/10.1145/3491102.3517684 |
| URI: | https://cronfa.swan.ac.uk/Record/cronfa60205 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract: |
Voice assistants (VAs) are present in homes, smartphones, and cars. They allow users to perform tasks without graphical or tactile user interfaces, as they are designed for natural language interaction. However, we found that currently, VAs are emulating human behavior by responding in complete sentences, limiting the design options, and preventing VAs from meeting their full potential as a utilitarian tool. We implemented a VA that handles requests in three response styles: two differing short keyword-based response styles and a full-sentence baseline. In a user study, 72 participants interacted with our VA by issuing eight requests. Results show that the short responses were perceived similarly useful and likable while being perceived as more efficient, especially for commands, and sometimes better to comprehend than the baseline. To achieve widespread adoption, we argue that VAs should be customizable and adapt to users instead of always responding in full sentences. |
|---|---|
| College: |
Faculty of Science and Engineering |