Social class, public self-awareness, and consumers’ heterogeneous attitude to AI machine anthropomorphism
Bibliographic Data
| ID | 21621208 |
|---|---|
| Authors | Binbin Sun (0009-0005-8230-2145, Qingdao University), Yu Zhang (0000-0002-0059-270X, Qingdao University), Xuelei Meng (0000-0002-4243-3125, Qingdao University, corresponding author), Zihan Zhang (0000-0003-0976-1845, Qingdao University) |
| Year | 2025 |
| Volume | 44 |
| Issue | 11 |
| Pages | 10561-10578 |
| Publication date | 2025-06-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Current Psychology (JOURNAL) |
| Journal identifiers | ISSN: 1046-1310 • E-ISSN: 1936-4733 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s12144-025-07872-2 |
| OpenAlex | W4410243623 |
| Language | EN |
| Citations received | 3 |
| References cited | 45 |
Artificial intelligence (AI) technology has led to the gradual transformation of interpersonal interactions into human-AI interactions, and the differences between these two types of interactions have attracted widespread attention. Still, scholars have not yet agreed on consumers` responses to AI machine anthropomorphism. This paper explores the relationship between AI machine anthropomorphism and consumers’ usage intention based on the privacy computing theory and finds a U-shaped relationship between AI machine anthropomorphism and consumers’ usage intention, which is mediated by privacy concerns and public self-awareness and positively moderates the relationship. Consumers’ social class also influences their attitudes toward AI machine anthropomorphism, i.e., consumers from high social class show a high degree of AI machine anthropomorphism while those from low social class show favour for a low degree of AI machine anthropomorphism. This article enhances existing research by examining consumer characteristics through a granular lens
AI in Service Interactions · Computer Science · Digital Marketing and Social Media · Psychology · Social Psychology · Technology Adoption and User Behaviour · Artificial Intelligence
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| Citations per year | 3 |
|---|---|
| Citation span | 2025 - 2026 (2) |
| Highly cited | No |