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Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows

Paper recorded by Signals 4 on 2026-09-22 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-22 on arXiv · recorded by Signals 4 on 2026-09-23

Category: cs.AI · 人工智能 · first seen 2026-09-23

Abstract

AI tools for digital product design now offer prompt-to-design capabilities, allowing designers and their non-designer colleagues to create prototypes through conversational workflows with large language models (LLMs). While these tools promise time savings, experimental evidence in product design remains limited compared with evidence from software engineering. We conducted a randomized controlle

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#9 most recent of 360 cs.AI papers we have recorded · ↑ newer: Metrics Failure in LLM-Based Code Vulnerability Repair: An Empirical S · ↓ older: The Sirens' Song: When Proximal Background Context Overshadows Distant
Cite this page: Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows: the #9 most recent of 360 cs.AI papers we have recorded (as of 2026-09-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/does-ai-save-time-on-product-design-a-randomized-controlled-experiment-of-ai-pro.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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