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Mei Si USC Information Sciences Institute 4676 Admiralty Way, Suite 1001 Marina del Rey, CA 90292.
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| Research Interests |
| Interactive Dramas / Serious Games | |
| Embodied Conversational Agents (ECA) | |
| Computational Modeling of Emotions | |
| Multi-Agent Systems | |
| Human-Computer Interaction | |
| Computational Psychology | |
| Detect Emotions with Physiological Signals | |
| Machine Learning |
| Current Project |
| I am currently
working on my PhD thesis, which is about authoring and simulating interactive
dramas. This work is part of the
VHuman Project.
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| Details of My Work: | |
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Interactive drama allows people to participate actively in a dynamically unfolding story, by playing a character or by exerting directorial control. Because of its potential of providing interesting stories as well as allowing user interaction, interactive drama has been recognized as a promising tool for providing both pedagogy and entertainment. One of my key contributions is a framework, Thespian, for authoring and simulating interactive dramas. Thespian models emotions in virtual characters and the user, and social normative behaviors in conversations. Thespian provides automated means for configuring virtual characters through linear story scripts, and thus supports faster development of interactive dramas in the face of open-ended user interaction. Thespian has been successfully used to build various interactive dramas. I am currently working on my dissertation. My proposed work for my dissertation contains extensions to the existing Thespian framework to support two common design goals in interactive dramas: manipulating the user's affective state and enhancing the user's experience of presence in the fictional world. In existing frameworks for interactive dramas, these goals are usually not systematically supported and their achievement is usually depended on the human author's effort of designing the interactive experience appropriately. I propose to build a director agent for reaching these goals. The director agent can manipulate the virtual characters' behaviors while not affecting the coherency of narrative or the automated authoring process. Part of my work deals with identifying people's emotional states though their physiological responses. This information will be used by the director agent for building a closed-loop control on user's affective experience in the interactive drama. |
| Past Project |
The Tactical Language Training Project
| The objective of this project is to develop tools to support individualized language learning, and apply them to the acquisition of tactical languages: subsets of linguistic, gestural, and cultural knowledge and skills necessary to accomplish specific missions. |
Modeling Belief and Attitude Change in a Coherence-Network
| The focus of this research is to model how social groups form and modify their opinion. The basic idea behind the system is that people tend to form mental coherence when they make decisions and/or interpret things happening around them. This system is built as an extension of Thagard's theory on explanational coherence (ECHO). |
RAP Teams: Heterogeneous Robot-Agent-Person Teams
| The goal of this research is to provide an infrastructure to support effective coordination of robots, agents and people (RAPs). RAP team combines each team member's unique capabilities and promises to improve safety, efficiency and reliability in their tasks. On the other hand, their heterogeneity imposes challenges on coordination, because each team member has different social abilities and ability to coordinate with others. |
| Educational Background |
| M.S. | University of Arizona (Computer Science, Winter 2001) | ||
| M.A. | University of Cincinnati (Experimental Psychology, Winter 2000) | ||
| B.S. | Peking University, P.R. China (General Psychology, Spring 1998) |