24 citations · 102 across the 12 of their papers we have counts for
12 papers
Hashtag Re-Appropriation for Audience Control on Recommendation-Driven Social Media Xiaohongshu (rednote)
Ruyuan Wan, Lingbo Tong, Tiffany Knearem +3
Algorithms have played a central role in personalized recommendations on social media. However, they also present significant obstacles for content creators trying to predict and m…
Uncovering Disparities in Rideshare Drivers Earning and Work Patterns: A Case Study of Chicago
Hy Dang, Yuwen Lu, Jason Spicer +6
Ride-sharing services are revolutionizing urban mobility while simultaneously raising significant concerns regarding fairness and driver equity. This study employs Chicago Trip Net…
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…
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…
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…
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…
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…
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…
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks
Yuxuan Lu, Bingsheng Yao, Shao Zhang +5
Large Language Models (LLMs) have demonstrated considerable advances, and several claims have been made about their exceeding human performance. However, in real-world tasks, domai…
UI Layout Generation with LLMs Guided by UI Grammar
Yuwen Lu, Ziang Tong, Qinyi Zhao +2
The recent advances in Large Language Models (LLMs) have stimulated interest among researchers and industry professionals, particularly in their application to tasks concerning mob…
From Awareness to Action: Exploring End-User Empowerment Interventions for Dark Patterns in UX
Yuwen Lu, Chao Zhang, Yuewen Yang +2
The study of UX dark patterns, i.e., UI designs that seek to manipulate user behaviors, often for the benefit of online services, has drawn significant attention in the CHI and CSC…
An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors
Chaoran Chen, Weijun Li, Wenxin Song +3
Managing privacy to reach privacy goals is challenging, as evidenced by the privacy attitude-behavior gap. Mitigating this discrepancy requires solutions that account for both syst…