activity
20232025
most citedAn Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors

24 citations · 102 across the 12 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.HC2024★ 1 cited

ChartifyText: Automated Chart Generation from Data-Involved Texts via LLM

Songheng Zhang, Lei Wang, Toby Jia-Jun Li +3

Text documents with numerical values involved are widely used in various applications such as scientific research, economy, public health and journalism. However, it is difficult f…

cs.HC2024★ 6 cited

Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks

Annalisa Szymanski, Noah Ziems, Heather A. Eicher-Miller +3

The potential of using Large Language Models (LLMs) themselves to evaluate LLM outputs offers a promising method for assessing model performance across various contexts. Previous r…

cs.HC2024★ 4 cited

Flowy: Supporting UX Design Decisions Through AI-Driven Pattern Annotation in Multi-Screen User Flows

Yuwen Lu, Ziang Tong, Qinyi Zhao +3

Many recent AI-powered UX design tools focus on generating individual static UI screens from natural language. However, they overlook the crucial aspect of interactions and user ex…

cs.HC2024★ 7 cited

CoCo Matrix: Taxonomy of Cognitive Contributions in Co-writing with Intelligent Agents

Ruyuan Wan, Simret Gebreegziabhe, Toby Jia-Jun Li +1

In recent years, there has been a growing interest in employing intelligent agents in writing. Previous work emphasizes the evaluation of the quality of end product-whether it was…

cs.SE2024★ 20 cited

EyeTrans: Merging Human and Machine Attention for Neural Code Summarization

Yifan Zhang, Jiliang Li, Zachary Karas +5

Neural code summarization leverages deep learning models to automatically generate brief natural language summaries of code snippets. The development of Transformer models has led…

cs.HC2024★ 17 cited

AI Assistance for UX: A Literature Review Through Human-Centered AI

Yuwen Lu, Yuewen Yang, Qinyi Zhao +2

Recent advancements in HCI and AI research attempt to support user experience (UX) practitioners with AI-enabled tools. Despite the potential of emerging models and new interaction…