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We conduct 3 in-lab and one crowd-sourced experiment in the domains of politics and movies. We find mixed results that interaction traces (visual scents of historical interactions) can increase awareness of bias and impact interactive behavior and decision making.

Improvisational storytelling involves one or more people interacting in real-time to create a story without advanced notice of topic or theme. Human improvisation occurs in an open-world that can be in any state and characters can perform any behaviors expressible through natural language. In this project, we strive toward the grand challenge of computational improvisational storytelling in open-world domains. The goal is to develop an intelligent agent that can sensibly co-create a story with one or more humans through natural language.

Research in sensing, e-textiles, augmented and virtual reality, machine learning, multimodal display, human computer interaction, assistive technology, and industrial design at the human technology frontier