Abstract
The rigorous integration of Generative Artificial Intelligence into design workflows necessitates a meticulous re-evaluation of how algorithmic tools reshape the ideation journey, particularly within the cognitively demanding task of persona construction. This research scrutinizes the creative support capacities of two distinct AI-assisted modalities—the prompt-driven FounderPal and the conversational InstantPersonas—by engaging design practitioners in a controlled experimental environment. Evaluated through the lens of the Creativity Support Index, the findings elucidate a nuanced landscape where AI significantly augments exploratory creativity while simultaneously revealing a discernible deficit in fostering user immersion and personalized expressiveness. Although statistical parity was observed in overall creativity scores, the conversational interface of InstantPersonas appeared to yield a heightened sense of result worthiness, suggesting that the iterative nature of human-AI dialogue may mitigate the risks of design fixation identified in previous studies. This study argues that the optimal role for AI lies not in autonomous generation but in serving as a structured catalyst across differentiated creative phases. Consequently, future AI architectures must prioritize transparency, traceability, and high editability to ensure human-in-the-loop agency over mere computational efficiency.

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright (c) 2026 Ying Wu (Author)