Eric Forbell

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Negotiation skills are essential in everyday life, whether in a professional or personal context. Negotiation enables two parties to address misunderstandings and avoid conflicts through an exchange that depends as much on the interpersonal skills of the negotiators as the tactics employed. Acquiring these skills requires not only sound conceptual knowledge(More)
Over the last 15 years, a virtual revolution has taken place in the use of Virtual Reality simulation technology for clinical purposes. Shifts in the social and scientific landscape have now set the stage for the next major movement in Clinical Virtual Reality with the "birth" of intelligent virtual humans. Seminal research and development has appeared in(More)
We present a mixed initiative conversational dialogue system designed to address primarily mental health care concerns related to military deployment. It is supported by a new information-state based dialogue manager , FLoReS (Forward-Looking, Reward Seeking dialogue manager), that allows both advanced, flexible, mixed initiative interaction , and efficient(More)
or more than a decade, we have been building virtual humans (VHs) at the University of Southern California (USC) Institute for Creative Technologies. Ultimately we want to be able to create virtual humans that look, communicate , and behave like real people as much as possible. Specifically, these characters would be autonomous, thinking on their own,(More)
We present an online system that provides a complete web-based sandbox for creating, testing and publishing embodied conversational agents. The tool, called Roundtable, empowers many different types of authors and varying team sizes to create flexible interactions by automating many editing workflows while limiting complexity and hiding architectural(More)
Although data-driven techniques are commonly used for Natural Language Understanding in dialogue systems, their efficacy is often hampered by the lack of appropriate annotated training data in sufficient amounts. We present an approach for rapid and cost-effective annotation of training data for classification-based language understanding in conversational(More)
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