abstract

Investigating the Role of User's English Language Proficiency in Using a Voice User Interface: A Case of Google Home Smart Speaker

Authors:

Aung Pyae,

Paul ScifleetAuthors Info & Claims

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: LBW0282, Pages 1 - 6

https://doi.org/10.1145/3290607.3313038

Published: 02 May 2019 Publication History

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Abstract

Amazon's Echo, and Apple's Siri have drawn attention from different user groups; however, these existing commercial VUIs support limited language options for users including native English speakers and non-native English speakers. Also, the existing literature about usability differences between these two distinct groups is limited. Thus, in this study, we conducted a usability study of the Google Home Smart Speaker with 20 participants including native English and non-native English speakers to understand their differences in using the Google Home Smart Speaker. The findings show that compared with their counterparts, the native English speakers had better and more positive user experiences in interacting with the device. It also shows that users' English language proficiency plays an important role in interacting with VUIs. The findings from this study can create insights for VUI designers and developers for implementing multiple language options and better voice recognition algorithms in VUIs for different user groups across the world.

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Aung Pyae and Paul Scifleet. 2018. Investigating differences between native English and non-native English speakers in interacting with a voice user interface: A case of Google Home. In Proceedings of the 30th Australian Conference on Computer-Human Interaction (OzCHI 2018), Melbourne, Australia.

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Investigating the Role of User's English Language Proficiency in Using a Voice User Interface: A Case of Google Home Smart Speaker
1. Human-centered computing

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Published In

CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

3673 pages

ISBN:9781450359719

DOI:10.1145/3290607

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

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Published: 02 May 2019

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CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

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https://doi.org/10.2196/57009
Brandt AHazel S(2024)Towards interculturally adaptive conversational AIApplied Linguistics Review10.1515/applirev-2024-0187Online publication date: 2-Jul-2024
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Li YReddy RZhang CNandakumar R(2024)Beyond-Voice: Towards Continuous 3D Hand Pose Tracking on Commercial Home Assistant Devices2024 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN61024.2024.00017(151-162)Online publication date: 13-May-2024
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Investigating differences between native english and non-native english speakers in interacting with a voice user interface: a case of google home

Investigating the usability and user experiences of voice user interface: a case of Google home smart speaker

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