Lauren Winston

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About

Lauren Winston is a researcher at the intersection of human-computer interaction, artificial intelligence, and the performing arts, with a focus on how intelligent agents can engage in creative, embodied collaboration with humans. Her work centers on turn-taking dynamics in improvisational, dance-based interactions—a domain where traditional models of human-robot interaction fall short. In her most cited paper, "Turn-Taking with Improvisational Co-Creative Agents" (2017, 9 citations), she pioneers the application of turn-taking theory to real-time, movement-based co-creation, exploring how agents can fluidly lead, follow, or mirror human partners in dance. This contribution is notable for bridging computational models of social interaction with the nuanced, non-verbal cues of artistic performance, offering a framework for more responsive and intuitive creative AI. Winston’s research has implications for interactive art, assistive technologies, and collaborative robotics, demonstrating how machines can become genuine partners in improvisation rather than mere tools. Her work is a compelling step toward making AI not just intelligent, but truly expressive and socially attuned.