| Related sites for http://web.media.mit.edu/~justine/ |
| Clough,_Paul_D_ University of Sheffield. Information retrieval. | | Conati,_Cristina University of British Columbia. User modeling, emotionally intelligent agents, adaptive user interfaces, Bayesian network student models. | | Conitzer,_Vincent Carnegie Mellon School of Computer Science. Phd Student. Intersection of computer science and game theory, computer science and economics, multiagent systems, automated negotiation and contracting. | | Cortes,_Nareli_Cruz CINVESTAV-IPN. Artificial immune system optimization, genetic algorithms, evolutionary computation. | | Crow,_Dan Unicru Inc. Intelligent search engines, machine learning, concept abstraction, adaptive interfaces. | | Danescu,_Radu Technical University of Cluj. Image processing, stereovision, intelligent vehicles. | | de_Salvo_Braz,_Rodrigo University of Illinois. 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Text categorization, machine learning applications in bioinformatics, medicine, machine vision and high energy physics, feature selection for categorization and re | | Dyke,_James University of Sus. Daisyworld, gaia, mep, artificial life, theoretical biology, robotics and evolutionary theory. | | Ehlert,_Patrick Delft University of Technology. List of projects and publications. Interests in agents and robotics. | | Elliott,_Clark DePaul University. Affective reasoning, synthetic characters, animated tutoring agents, emotion representation. | | Faltings,_Boi Director of Artificial Intelligence Laboratory, EPFL, President of Swiss AI Society. Software agents, constraint-based reasoning, case-based reasoning. | | Finn,_Aidan School of Computer Science and Informatics, University College Dublin. Automated information extraction using convergent boundary classification, machine learning for automatic genre classification, a | | Forbus,_Kenneth Northwestern University. Qualitative physics, spatial reasoning, cognitive simulation of analogical processing. | | Fournier-Viger,_Philippe University of Quebec at Montreal. Learning objects, cognitive modelling, virtual learning environments and intelligent tutoring systems. | | Fragos,_Kostas National Technical University of Athens. Statistical natural language processing, signal processing, neural networks. | | Frasconi,_Paolo Università di Firenze. Machine learning for sequential and structured data, bioinformatics, text and natural language, pattern recognition. | | Freeman,_Richard University of Manchester. Machine learning, knowledge management, data visualization, artificial intelligence and neural networks. | | Funge,_John iKuni, Inc. Game AI, machine learning, and knowledge representation. | | Furcy,_David University of Wisconsin Oshkosh. Heuristic search, planning and re-planning, reinforcement learning. | | Galassi,_Ugo University of Eastern Piedmont. User profiling, hierarchical HMMs, learning regular expressions. | | Geczy,_Peter RIKEN Brain Science Institute. Neural networks, artificial intelligence, neuroscience, fuzzy logic, rule acquisition, rule extraction from neural networks, Autonomous Connectionistic Engine (ACE), neu | | Gini,_Maria University of Minnesota. Distributed intelligence, cooperation of miniature robots, robot navigation, multi-agent systems for e-commerce and supply-chain, economic agents. | | Goel,_Ashok_K_ Georgia Tech. Knowledge-based reasoning and learning, design cognition and computing, creativity, self-adaptation. | | Goyal,_Ram_Dayal Intigma India. Data mining, natural language processing, data mining, neural networks, image processing. | | Grasso,_Floriana University of Liverpool. Computational models of natural argument, affective natural language generation, conflict resolution. | | Green,_Nancy University of North Carolina at Greensboro. Intelligent multimdedia presentation systems, argumentation models, automatic generation of textual summaries of graphs, interactive narrative, conversati | | Greening,_Dan_R_ CEO BigTribe. Entrepreneur and researcher. Personalization, collaborative filtering, computer-supported cooperative work, ubiquitous computing, simulated annealing, distributed computing, social psych | | Grosz,_Barbara Harvard University. Collaborative planning, SharedPlans model of collaboration, discourse structure, intonation, centering. | | Guinn,_Curry_I_ University of North Carolina at Wilmington. Natural language processing, spoken dialog systems, conversational agents, affective computing. | | Guvenir,_H__Altay Bilkent University. Machine learning, data mining, and computer-aided language learning. | | Haller,_Susan University of Wisconsin - Park. Natural language processing, interactive discourse, text planning, intelligent tutoring systems. | | Harmelen,_Frank_van Vrije Universiteit, Amsterdam. Approximate reasoning, medical protocols, semantic web, specification languages for KBS. | | Harper,_Mary Purdue University. National Science Foundation. Integrating natural language and speech processing, prosodic analysis, statistical parsing, gesture and speech. | | Hartmann,_Jens University of Karlsruhe (Germany). Data mining, knowledge representation, ontology learning, semantic web, knowledge portals. | | Hayes-Roth,_Barbara Stanford University. Extempo Systems. Intelligent interactive characters, interactive story telling, adaptive intelligent agents. |
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Justine Cassell   Justine Cassell is now a full professor at Northwestern University in the departments of Computer Science and Communication Studies, and director of the interdisciplinary graduate program in Technology and Social Behavior. The browser will now redirect you automatically to her new web page. In case it does not, please click here. Cassell was formerly an associate professor at MIT's Media Laboratory, where she directed the Gesture and Narrative Language Research Group. She holds a master's degree in Literature from the Université de Besançon (France), a master's degree in Linguistics from the University of Edinburgh (Scotland), and a double Ph.D. from the University of Chicago, in Psychology and in Linguistics. Cassell and her students study natural forms of communication and linguistic expression, and build the technological tools that enable and enhance these activities, in particular face-to-face conversation and storytelling. After having spent ten years studying verbal and non-verbal aspects of human communication through microanalysis of human data, Cassell began to bring her knowledge of human conversation to the design of computational systems, designing the first autonomous animated agent with speech, gesture, intonation and facial expression in 1994 during a sabbatical spent at the University of Pennsylvania Center for Human Simulation. Along with her students, she is currently implementing the newest generation of Embodied Conversational Agent -- "Rea" -- a life-size animated humanoid figure on a screen that can understand the conversational behaviors of the human standing in front of it (using computer vision techniques), and respond with appropriate speech, animated hand gestures, body movements, and facial expressions of its own. The architecture for this new "conversationally intelligent" agent is based on an analysis of conversational functions, allowing the system to exploit users' natural speech, gesture and head movement in the input to organize conversation, and to respond with automatically generated verbal and nonverbal behaviors of its own. As well as being a pioneer in this new research area of Embodied Conversational Agents, Justine Cassell has also played a key role in investigating the role that technologies such as these play in children's lives. Interactive technologies such as Sam, the virtual storytelling peer can have the potential to encourage children in creative, empowered and independent learning. They can also demonstrate ways for new technology to live away from the desktop, supporting children's full-bodied, collaborative, social play-based learning. Cassell and her students have built a suite of Story Listening Systems that encourage children to tell stories and in doing so to practice decontextualized language of the kind that is essential for literacy. Justine Cassell's other current research and projects include: technological toys for both boys and girls that encourage them to express aspects of self-identity that transcend stereotyped gender categories; technologies that are accessible both to children with high technological fluency, and children with no technological fluency. Justine Cassell was the director of Junior Summit '98, a program that brought together online more than 3000 children from 139 different countries to discuss how technology could be used to help children, and then gathered 100 of those children in Boston for a 5 day summit, where they presented their ideas to world leaders and international press. Professor Cassell has spoken about her research at academic conferences around the world, including AAAI, ACL, CHI, Cognitive Science, IJCAI, and SIGGRAPH, as well to industry leaders in companies such as IBM, Lego, Mattel, Philips, Toshiba and Xerox Parc. Justine Cassell co-edited a volume on gender and computer games with Henry Jenkins entitled From Barbie to Mortal Kombat: Gender and Computer Games (MIT Press, 1998) and a volume on autonomous communicating virtual humans, entitled Embodied Conversational Agents (MIT Press, 2000). She has published extensively in journals as diverse as Poetics Today, AI Magazine, and Computer Graphics. welcome  people research courses @ctivism publications press Justine Cassell  MIT Media Laboratory E15-315 20 Ames Street Cambridge MA 617.253.4899 617.258.6264 [fax] justine@media.mit.edu |
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