HCI AI Research
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About
HCI AI Research, led by Jason Chuang, focuses on integrating human-computer interaction with machine learning and natural language processing to derive insights from complex data. It emphasizes the design of interactive visualizations and statistical models that enable effective collaboration between humans and algorithms. Key topics of research include data analytics, sentiment classification, topic modeling, and various visualization techniques. The goal is to build interdisciplinary communities that enhance collaboration across fields. Jason has affiliations with Mozilla and the Allen Institute for AI, and his work has been featured in top-tier conferences and journals.
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Task
Features
• data analytics
• interactive visualizations
• machine learning
• human-centered design
• information visualization
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