Trusting Digital Voice Assistants: How Children Perceive Incomplete Explanations

Digital voice assistants (DVAs) have become an important method for children to learn about the world and access information. This study explored 90 4- to 6-year-old children’s epistemic trust in DVAs across different conflict situations (nonconflict vs. low-conflict vs. high-conflict) and the quality (completeness) of explanatory testimonies, using the paradigm of dual-informant sources. The results revealed that children could recognize completeness in DVAs explanations and preferred complete explanations, with 5- and 6-year-olds demonstrating better judgment and preference for completeness than 4-year-olds. However, in conflict situations, children’s trust in DVAs providing complete explanations decreased. Younger children were more prone to belief revision than older children were. The results suggest that explanation completeness by DVAs, conflict levels and children’s age can significantly enhance trust and efficacy in educational applications and can transform child–computer interactions.

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Publication Details

Journal
International Journal of Human-Computer Interaction
Published
2025-12-03
DOI
https://doi.org/10.1080/10447318.2025.2594145
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

Trusting Digital Voice Assistants: How Children Perceive Incomplete Explanations

Zhe Li, Keren Zhou, Tingyu Li, Jing Li
International Journal of Human-Computer Interaction
AI in Service Interactions
article

Trusting Digital Voice Assistants: How Children Perceive Incomplete Explanations

Zhe Li, Keren Zhou, Tingyu Li, Jing Li
article en

Abstract

Digital voice assistants (DVAs) have become an important method for children to learn about the world and access information. This study explored 90 4- to 6-year-old children’s epistemic trust in DVAs across different conflict situations (nonconflict vs. low-conflict vs. high-conflict) and the quality (completeness) of explanatory testimonies, using the paradigm of dual-informant sources. The results revealed that children could recognize completeness in DVAs explanations and preferred complete explanations, with 5- and 6-year-olds demonstrating better judgment and preference for completeness than 4-year-olds. However, in conflict situations, children’s trust in DVAs providing complete explanations decreased. Younger children were more prone to belief revision than older children were. The results suggest that explanation completeness by DVAs, conflict levels and children’s age can significantly enhance trust and efficacy in educational applications and can transform child–computer interactions.

International Journal of Human-Computer Interaction
Zhejiang Normal University (CN), Chinese Academy of Sciences (CN), Center for Children (US), Czech Academy of Sciences, Institute of Psychology (CZ), University of Chinese Academy of Sciences (CN), Center for Autism and Related Disorders (US)
Openalex Percentile: Top 80%
AI in Service Interactions
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