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Namaste Alexa: The Impact of Non‐Native Language Queries on Voice Assistant Usage Intentions

Jaspreet Kaur et al.

Journal of Consumer Behaviour2026https://doi.org/10.1002/cb.70108article
AJG 2ABDC A
Weight
0.50

Abstract

This study explores how language‐related constructs—language pride, prejudice and pragmatism—affect user perceptions and usage intentions of voice assistants (VAs) in multilingual markets. Drawing on Communication Accommodation Theory (CAT), we examine the emotional and rational responses elicited by linguistic mismatches between users and VAs, focusing on Hindi as a prominent non‐native language. Employing a mixed‐methods approach, Study 1 utilises qualitative interviews ( n = 25) to uncover users' frustrations and adaptation strategies when interacting with VAs. Study 2 quantitatively tests a conceptual model ( n = 423) using PLS‐SEM, revealing that language constructs significantly influence anthropomorphism, which in turn drives both emotional and rational responses, ultimately shaping continuance or discontinuance intentions. Our findings advance the theoretical application of CAT in human–machine interaction and offer practical guidance for VA developers and marketers in enhancing linguistic inclusivity, cultural sensitivity and user retention in emerging markets.

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https://doi.org/https://doi.org/10.1002/cb.70108

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@article{jaspreet2026,
  title        = {{Namaste Alexa: The Impact of Non‐Native Language Queries on Voice Assistant Usage Intentions}},
  author       = {Jaspreet Kaur et al.},
  journal      = {Journal of Consumer Behaviour},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1002/cb.70108},
}

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Namaste Alexa: The Impact of Non‐Native Language Queries on Voice Assistant Usage Intentions

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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