Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)

Visual Feedback Design and Research of Handheld Mobile Voice Assistant Interface

Authors
Wenjun Hou, Yang Yang
Corresponding Author
Wenjun Hou
Available Online March 2018.
DOI
10.2991/icaita-18.2018.44How to use a DOI?
Keywords
Siri voice assistant; voice interaction; visual feedback; usability
Abstract

Based on the limitation of handheld mobile voice assistant in usability, this paper analyzes the important role and characteristics of visual feedback in voice interaction interface, and discusses the research and the application status of voice assistant usability. On this basis, taking the interaction of Siri voice assistant as a case to study, the task characteristics and design defects of voice interaction are found through interview 12 users. Based on the general design principles and voice interaction design principles, the voice interaction feedback interface in handheld mobile devices is optimized to improve the validity and reliability of the intelligent voice assistant.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/icaita-18.2018.44
ISSN
1951-6851
DOI
10.2991/icaita-18.2018.44How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wenjun Hou
AU  - Yang Yang
PY  - 2018/03
DA  - 2018/03
TI  - Visual Feedback Design and Research of Handheld Mobile Voice Assistant Interface
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 174
EP  - 178
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.44
DO  - 10.2991/icaita-18.2018.44
ID  - Hou2018/03
ER  -