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Dr. Rebecca Rouse
Rebecca Rouse, PhD is a Senior Lecturer in Media Arts, Aesthetics and Narration in the School of Informatics at the University of Skövde, Sweden. Rouse’s research focuses on theoretical, critical, and design production work with storytelling for new technologies, such as augmented and mixed reality. Rouse designs and develops projects across museums, cultural heritage sites, interactive installations, and theatrical performance, all with the thread of investigating and inventing new modes of storytelling. This design work dovetails with Rouse’s research in design methods, media theory, and the history of technology. For more information visit www.rebeccarouse.com.
Dr. Jeremy Bailenson
Jeremy Bailenson is founding director of Stanford University’s Virtual Human Interaction Lab, Thomas More Storke Professor in the Department of Communication, Professor (by courtesy) of Education, Professor (by courtesy) Program in Symbolic Systems, a Senior Fellow at the Woods Institute for the Environment, and a Faculty Leader at Stanford’s Center for Longevity. Bailenson studies the psychology of Virtual and Augmented Reality, in particular how virtual experiences lead to changes in perceptions of self and others. His lab builds and studies systems that allow people to meet in virtual space, and explores the changes in the nature of social interaction. His most recent research focuses on how virtual experiences can transform education, environmental conservation, empathy, and health.
Dr. Stephen Ware
Stephen G. Ware is an assistant professor at the University of Kentucky where he directs the Narrative Intelligence Lab and teaches courses on artificial intelligence and game development. He studies computational interactive narrative techniques for virtual worlds like video games, training simulations, and tutoring systems. His work focuses on strong story challenges, on balancing the player’s agency when the designer has specific constraints on the narrative’s content which must be met. Most of his contributions have focused on narrative planing algorithms that can anticipate many possible futures for a story based on computational models of important features like character beliefs, character intentionality, and audience perception.