165 citations · 451 across the 20 of their papers we have counts for
20 papers
Key Considerations for Domain Expert Involvement in LLM Design and Evaluation: An Ethnographic Study
Annalisa Szymanski, Oghenemaro Anuyah, Toby Jia-Jun Li +1
Large Language Models (LLMs) are increasingly developed for use in complex professional domains, yet little is known about how teams design and evaluate these systems in practice.…
Impact of Human-AI Interaction on User Trust and Reliance in AI-Assisted Qualitative Coding
Jie Gao, Junming Cao, ShunYi Yeo +5
While AI shows promise for enhancing the efficiency of qualitative analysis, the unique human-AI interaction resulting from varied coding strategies makes it challenging to develop…
Modeling Programmer Attention as Scanpath Prediction
Aakash Bansal, Chia-Yi Su, Zachary Karas +4
This paper launches a new effort at modeling programmer attention by predicting eye movement scanpaths. Programmer attention refers to what information people intake when performin…
AutoDroid: LLM-powered Task Automation in Android
Hao Wen, Yuanchun Li, Guohong Liu +7
Mobile task automation is an attractive technique that aims to enable voice-based hands-free user interaction with smartphones. However, existing approaches suffer from poor scalab…
PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data
Zheng Zhang, Zheng Ning, Chenliang Xu +2
Audio-visual learning seeks to enhance the computer's multi-modal perception leveraging the correlation between the auditory and visual modalities. Despite their many useful downst…
Shaping the Emerging Norms of Using Large Language Models in Social Computing Research
Hong Shen, Tianshi Li, Toby Jia-Jun Li +2
The emergence of Large Language Models (LLMs) has brought both excitement and concerns to social computing research. On the one hand, LLMs offer unprecedented capabilities in analy…