Do clothes speak louder than words? Verbal and non-verbal communication cues in avatar–consumer interaction

Purpose This study aims to investigate how avatar attire and conversational style jointly influence consumers' perceived artificial intelligence (AI) trust and purchase intentions, considering the moderating role of relationship orientation. Design/methodology/approach Three experimental studies (N = 1,070) were conducted. Study 1 tested the effects of avatar attire (professional vs. casual) and conversational style (competence- vs. warmth-oriented) on perceived AI trust and purchase intentions. Study 2 examined whether consumers' relationship orientation (communal vs. exchange) moderates the impact of attire. Study 3 employed a 2 (relationship orientation) × 2 (avatar attire) × 2 (conversational style) design to test the full moderated mediation model. Findings Avatars in professional attire elicit higher perceived trust and purchase intentions than casual attire. The effect of avatar attire and conversational-style interaction on perceived AI trust and purchase intentions depends on consumers' relationship orientation, rather than being driven solely by congruence. Professional attire is more persuasive in exchange-oriented contexts, whereas casual attire is more effective in communal contexts. Originality/value This research integrates the computers are social actors framework and the stereotype content model to clarify how visual appearance and communication style jointly shape consumer responses to AI avatars. The findings provide actionable guidance for designing virtual brand agents, highlighting the importance of aligning avatar appearance with communication style and relational context to enhance trust and purchase intentions in AI-mediated interactions.

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Publication Details

Journal
Journal of Research in Interactive Marketing
Published
2026-03-16
DOI
https://doi.org/10.1108/jrim-07-2025-0376
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Do clothes speak louder than words? Verbal and non-verbal communication cues in avatar–consumer interaction

Qin Liu, Xin Mao, Ming Zhao, Manjiao Zhang
Journal of Research in Interactive Marketing
AI in Service Interactions
article

Do clothes speak louder than words? Verbal and non-verbal communication cues in avatar–consumer interaction

Qin Liu, Xin Mao, Ming Zhao, Manjiao Zhang
article en

Abstract

Purpose This study aims to investigate how avatar attire and conversational style jointly influence consumers' perceived artificial intelligence (AI) trust and purchase intentions, considering the moderating role of relationship orientation. Design/methodology/approach Three experimental studies (N = 1,070) were conducted. Study 1 tested the effects of avatar attire (professional vs. casual) and conversational style (competence- vs. warmth-oriented) on perceived AI trust and purchase intentions. Study 2 examined whether consumers' relationship orientation (communal vs. exchange) moderates the impact of attire. Study 3 employed a 2 (relationship orientation) × 2 (avatar attire) × 2 (conversational style) design to test the full moderated mediation model. Findings Avatars in professional attire elicit higher perceived trust and purchase intentions than casual attire. The effect of avatar attire and conversational-style interaction on perceived AI trust and purchase intentions depends on consumers' relationship orientation, rather than being driven solely by congruence. Professional attire is more persuasive in exchange-oriented contexts, whereas casual attire is more effective in communal contexts. Originality/value This research integrates the computers are social actors framework and the stereotype content model to clarify how visual appearance and communication style jointly shape consumer responses to AI avatars. The findings provide actionable guidance for designing virtual brand agents, highlighting the importance of aligning avatar appearance with communication style and relational context to enhance trust and purchase intentions in AI-mediated interactions.

Journal of Research in Interactive Marketing
Anhui Business College (CN), Guilin University of Electronic Technology (CN)
Openalex Percentile: Top 23%
AI in Service Interactions
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