Social class, public self-awareness, and consumers’ heterogeneous attitude to AI machine anthropomorphism
Year: 2025
Type: article
Study design: Observational Study
Abstract: 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.
Source: Current Psychology
Authors: Binbin Sun, Yu Zhang, Xuelei Meng, Zihan Zhang
Institution: Qingdao University
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,390
OpenAlex ID: W4410243623
