Conversation Health & Dynamics

Exploring conversation health and dynamics using natural language processing and data visualization

Research

Making visible dynamics within conversations enables us to see conversation quality, dynamics between participants, the impact of facilitators, and perhaps even quality of the conversation itself. In this project, we leverage natural language processing, machine learning, data visualization, and human-computer interaction techniques to unveil and create metrics for dynamics within conversations in an effort to evaluate quality of conversation.

NLP, Communication, Conversation Visualization, Conversation Health, Data Visualization
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Collaborators

Maggie Hughes

PhD candidate

Brandon Roy

Head of Applied Research

Elinor Poole-Dayan

Masters candidate

Marina Rakhilin

Program Lead

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