InsightBridge: Enhancing Empathizing with Users through Real-Time Information Synthesis and Visual Communication
Published in CHI' 25, 2025
This project introduces InsightBridge, an AI-assisted tool that supports researchers during early-stage user interviews by automatically synthesizing conversation data into empathy maps. The system enables researchers to generate visual abstracts representing key information, which can be verified with users in real-time to refine understanding. Evaluation through a within-subject study (N=32) demonstrated that InsightBridge enhances note-taking efficiency, improves mutual understanding between researchers and users, and helps uncover overlooked details through visual-based verification discussions.
Recommended citation: Junze Li, Yue Zhang, Chengbo Zheng, Dingdong Liu, Zeyu Huang, Xiaojuan Ma
Recommended citation: Junze Li, Yue Zhang, Chengbo Zheng, Dingdong Liu, Zeyu Huang, and Xiaojuan Ma. 2025. InsightBridge: Enhancing Empathizing with Users through Real-Time Information Synthesis and Visual Communication. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25). Association for Computing Machinery, New York, NY, USA, Article 167, 1–15. https://doi.org/10.1145/3706598.3713640
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