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cs.HC2025

PersonaFlow: Designing LLM-Simulated Expert Perspectives for Enhanced Research Ideation

Yiren Liu, Pranav Sharma, Mehul Jitendra Oswal +2

Generating interdisciplinary research ideas requires diverse domain expertise, but access to timely feedback is often limited by the availability of experts. In this paper, we intr…

cs.HC2025

Less or More: Towards Glanceable Explanations for LLM Recommendations Using Ultra-Small Devices

Xinru Wang, Mengjie Yu, Hannah Nguyen +10

Large Language Models (LLMs) have shown remarkable potential in recommending everyday actions as personal AI assistants, while Explainable AI (XAI) techniques are being increasingl…

cs.HC2024

DrawTalking: Building Interactive Worlds by Sketching and Speaking

Karl Toby Rosenberg, Rubaiat Habib Kazi, Li-Yi Wei +2

We introduce DrawTalking, an approach to building and controlling interactive worlds by sketching and speaking while telling stories. It emphasizes user control and flexibility, an…

cs.HC2024

WaitGPT: Monitoring and Steering Conversational LLM Agent in Data Analysis with On-the-Fly Code Visualization

Liwenhan Xie, Chengbo Zheng, Haijun Xia +2

Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Inte…

cs.HC2024

iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations

Chen Zhu-Tian, Qisen Yang, Jiarui Shan +4

We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video bro…