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Dataset Information

EEG assessment of artificial intelligence-generated content impact on student creative performance and neurophysiological states in product design.


ABSTRACT:

Objectives

The purpose of this study has been to evaluate the use of Artificial Intelligence-Generated Content (AIGC) tools in design education, in terms of their effects on creative performance, concentration, and relaxation levels, for university students enrolled in an undergraduate design program.

Methods

An experimental design was implemented, using two groups differentiated by their design tool usage (AIGC tools versus traditional software). The sample consisted of 64 third-year undergraduate design students from a public university in Eastern China. Participants completed a three-hour intelligent walking cane design task. The AIGC group used ChatGPT, Midjourney, and Stable Diffusion, while the control group used traditional design software. Neurophysiological states w

SUBMITTER: Wang S 

PROVIDER: S-EPMC12268209 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature