Xiaolian Cheng

Xiaolian Cheng

Researcher at Chung-Ang University and first author of the 2026 study of how an AI label on a fashion model changes what shoppers think of the product.

Who they are

The paper lists Cheng in the Department of Business Administration, Chung-Ang University, Seoul. With Inwoo Nam, Cheng ran a scenario experiment, published in Frontiers in Psychology in July 2026, with 200 US adults who imagined buying a black dress or a black T-shirt online. Every image was made with the same AI tool; only the caption changed, saying the model was AI-generated or human.

For the dress, the AI caption cut the self-expression score from 4.37 to 1.97. The label raised a sense of eeriness, which raised perceived psychological and performance risk, which lowered self-expression. For the T-shirt the label made no reliable difference. The authors list as limits that the two garments may differ in hedonic value, formality and femininity, that the study used a scenario and female models, and that 70 per cent of the sample were women.

Key papers

Cheng, X., & Nam, I. (2026). "Understanding the influence of AI labels on consumer psychology: the moderating role of product type." Frontiers in Psychology, 17, 1878095. doi:10.3389/fpsyg.2026.1878095.

Key ideas

An AI label hurts products bought for what they say about the owner and leaves functional products alone. See Algorithm Aversion.


Sources

  1. Cheng and Nam (2026), full text read (Frontiers JATS XML), 13 October 2026.