[2604.04353] ReFinE: Streamlining UI Mockup Iteration with Research Findings

[2604.04353] ReFinE: Streamlining UI Mockup Iteration with Research Findings

arXiv - AI 3 min read

About this article

Abstract page for arXiv paper 2604.04353: ReFinE: Streamlining UI Mockup Iteration with Research Findings

Computer Science > Human-Computer Interaction arXiv:2604.04353 (cs) [Submitted on 6 Apr 2026] Title:ReFinE: Streamlining UI Mockup Iteration with Research Findings Authors:Donghoon Shin, Bingcan Guo, Jaewook Lee, Lucy Lu Wang, Gary Hsieh View a PDF of the paper titled ReFinE: Streamlining UI Mockup Iteration with Research Findings, by Donghoon Shin and 4 other authors View PDF HTML (experimental) Abstract:Although HCI research papers offer valuable design insights, designers often struggle to apply them in design workflows due to difficulties in finding relevant literature, understanding technical jargon, the lack of contextualization, and limited actionability. To address these challenges, we present ReFinE, a Figma plugin that supports real-time design iteration by surfacing contextualized insights from research papers. ReFinE identifies and synthesizes design implications from HCI literature relevant to the mockup's design context, and tailors this research evidence to a specific design mockup by providing actionable visual guidance on how to update the mockup. To assess the system's effectiveness, we conducted a technical evaluation and a user study. Results show that ReFinE effectively synthesizes and contextualizes design implications, reducing cognitive load and improving designers' ability to integrate research evidence into UI mockups. This work contributes to bridging the gap between research and design practice by presenting a tool for embedding scholarly insigh...

Originally published on April 07, 2026. Curated by AI News.

Related Articles

UMKC Announces New Master of Science in Artificial Intelligence
Ai Infrastructure

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

AI News - General · 4 min ·
Llms

I built a solo AI platform from Algeria with no funding, no team and no ad spend - here's what's inside it after 2 months

Hello, 20 years old here just got into the Ai platform and launched this last two weeks and here is what I have on it so far. - Latest Ai...

Reddit - Artificial Intelligence · 1 min ·
[2603.12365] Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws
Machine Learning

[2603.12365] Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws

Abstract page for arXiv paper 2603.12365: Optimal Experimental Design for Reliable Learning of History-Dependent Constitutive Laws

arXiv - Machine Learning · 4 min ·
[2603.17573] HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness
Machine Learning

[2603.17573] HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Awareness

Abstract page for arXiv paper 2603.17573: HeiSD: Hybrid Speculative Decoding for Embodied Vision-Language-Action Models with Kinematic Aw...

arXiv - Machine Learning · 4 min ·
More in Machine Learning: This Week Guide Trending

No comments

No comments yet. Be the first to comment!

Stay updated with AI News

Get the latest news, tools, and insights delivered to your inbox.

Daily or weekly digest • Unsubscribe anytime