Neural Mechanisms of Collaborative Creative Thinking in Engineering Design: Human-Human Versus Human-AI Interaction
摘要
This study explores the neural mechanisms underpinning collaborative creative thinking in engineering design, focusing on comparisons between human-human and human-artificial intelligence (AI) interactions. Fourteen engineering students performed divergent thinking tasks under three experimental conditions: individual effort, collaboration with another human, and collaboration with a generative AI (GPT-4). The results demonstrated that collaboration, regardless of the partner type, significantly enhanced the usefulness of generated ideas compared to individual efforts, though originality scores remained consistent across conditions. Electroencephalography (EEG) analysis revealed distinct patterns of brain activation associated with collaborative processes. Collaboration with a human partner activated memory-related regions such as the temporal lobe and hippocampus, as well as the right parietotemporal junction, a region linked to cooperative behaviors. Notably, collaboration with AI further engaged the right dorsolateral prefrontal cortex, highlighting its role in cognitive flexibility. These findings suggest that AI collaboration fosters unique neural pathways that may facilitate adaptive thinking and problem-solving.