Bias toward the Accents of Virtual Assistants

Language bias, both positive and negative, is a well-documented phenomenon exhibited among human interlocutors. We examine whether this bias is exhibited toward virtual assistants, specifically, Apple's Siri and Google Assistant, with various accents. We conducted three studies with different stimuli and designs to investigate U.S. English speakers’ attitudes toward Google's British, Indian, and American voices and Apple's Irish, Indian, South African, British, Australian, and American voices. Analysis reveals consistently lower fluency ratings for Irish, Indian, and South African voices (compared with American) but no consistent results of bias related to competence, warmth, or willingness to interact. Moreover, participants often misidentified voices’ countries of origin but correctly identified them as artificial. We conclude that this overall lack of bias may be due to two possibilities: lack of humanlikeness of the voices and lack of availability of nonstandardized voices and voices from countries toward which those in the United States typically show bias.

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Publication Details

Journal
Journal of Language and Social Psychology
Published
2024-10-01
DOI
https://doi.org/10.1177/0261927x241291611
Citations
1
Primary Topic
Psychology of Moral and Emotional Judgment
Type
article
Field-Weighted Citation Impact
0.34
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article

Bias toward the Accents of Virtual Assistants

Jessica L. Cundiff, Daniel B. Shank, David L. Wright, Sarah E. Hercula
1 citations
Journal of Language and Social Psychology
Psychology of Moral and Emotional Judgment
0.34
article

Bias toward the Accents of Virtual Assistants

Jessica L. Cundiff, Daniel B. Shank, David L. Wright, Sarah E. Hercula
article en
1 citations

Abstract

Language bias, both positive and negative, is a well-documented phenomenon exhibited among human interlocutors. We examine whether this bias is exhibited toward virtual assistants, specifically, Apple's Siri and Google Assistant, with various accents. We conducted three studies with different stimuli and designs to investigate U.S. English speakers’ attitudes toward Google's British, Indian, and American voices and Apple's Irish, Indian, South African, British, Australian, and American voices. Analysis reveals consistently lower fluency ratings for Irish, Indian, and South African voices (compared with American) but no consistent results of bias related to competence, warmth, or willingness to interact. Moreover, participants often misidentified voices’ countries of origin but correctly identified them as artificial. We conclude that this overall lack of bias may be due to two possibilities: lack of humanlikeness of the voices and lack of availability of nonstandardized voices and voices from countries toward which those in the United States typically show bias.

Journal of Language and Social PsychologyVol. 43(5-6)
Missouri University of Science and Technology (US)
Quality Education
Openalex Percentile: Top 39%
Psychology of Moral and Emotional Judgment
0.34
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