most citedGenerating Automatic Feedback on UI Mockups with Large Language Models

77 citations · 114 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC202477 cited

Generating Automatic Feedback on UI Mockups with Large Language Models

Peitong Duan, Jeremy Warner, Yang Li +1

Feedback on user interface (UI) mockups is crucial in design. However, human feedback is not always readily available. We explore the potential of using large language models for a…

cs.HC202437 cited

Rambler: Supporting Writing With Speech via LLM-Assisted Gist Manipulation

Susan Lin, Jeremy Warner, J. D. Zamfirescu-Pereira +8

Dictation enables efficient text input on mobile devices. However, writing with speech can produce disfluent, wordy, and incoherent text and thus requires heavy post-processing. Th…

cs.HC2023

Interactively Optimizing Layout Transfer for Vector Graphics

Jeremy Warner, Shuyao Zhou, Bjoern Hartmann

One of the most common ways to represent and share visual designs is with vector graphics. Designers working with vector graphics often explore layout alternatives and generate the…

cs.HC2023

Interactive Flexible Style Transfer for Vector Graphics

Jeremy Warner, Kyu Won Kim, Bjoern Hartmann

Vector graphics are an industry-standard way to represent and share visual designs. Designers frequently source and incorporate styles from existing designs into their own work. Un…

cs.HC2023

Conversation Regression Testing: A Design Technique for Prototyping Generalizable Prompt Strategies for Pre-trained Language Models

J. D. Zamfirescu-Pereira, Bjoern Hartmann, Qian Yang

Pre-trained language models (LLMs) such as GPT-3 can carry fluent, multi-turn conversations out-of-the-box, making them attractive materials for chatbot design. Further, designers…