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Dive into the research topics where Clark Elliott is active.

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Featured researches published by Clark Elliott.


Lecture Notes in Computer Science | 1999

Lifelike pedagogical agents and affective computing: an exploratory synthesis

Clark Elliott; Jeff Rickel; James C. Lester

Lifelike pedagogical agents have been the subject of increasing attention in the agents and knowledge-based learning environment communities [2, 17, 19—21]. In parallel developments, recent years have witnessed great strides in work on cognitive models of emotion and affective reasoning [4,18, 22]. As a result, the time is now ripe for exploring how affective reasoning can be incorporated into pedagogical agents to improve students’ learning experiences.


Ai Magazine | 1998

Autonomous Agents as Synthetic Characters

Clark Elliott; Jacek Brzezinski

Humans are social creatures. Much of our intelligence derives from our ability to manipulate our environment through collaborative endeavors. Most extant computer programs and interfaces do little to take advantage of such manifestly human talents and interests, leaving broad avenues of human-computer communication unexplored. Although it is still considered controversial, there are many who believe the harnessing of social communication to be rich in possibilities for modern software. In this article, we look at a number of autonomous agent systems that embody their intelligence at least partially through the projection of a believable, engaging, synthetic persona. Among other topics, we touch briefly on samples of research that explore synthetic personality, representations of emotion, societies of fanciful and playful characters, intelligent and engaging automated tutors, and users projected as avatars into virtual worlds.


adaptive agents and multi-agents systems | 1998

Story-morphing in the affective reasoning paradigm: generating stories semi-automatically for use with “emotionally intelligent” multimedia agents

Clark Elliott; Jacek Brzezinski; Sanjay Sheth; Robert Salvatoriello

A hollow fiber membrane-type fluid separation apparatus useful for selective separation of fluids in various techniques such as gas permeation, liquid permeation, dialysis, ultrafiltration, reverse osmosis, etc., which comprises at least one pair of unit structures which are arranged uniaxially in series within a cylindrical pressure vessel, said pair of unit structures comprising a pair of cylindrical hollow fiber assemblies having a selective permeability, a means for collecting permeated fluid, which is held between side tube sheets provided each at a terminal of the pair of cylindrical hollow fiber assemblies and is capable of collecting the fluid which passes through the side tube sheet, a permeation fluid pipe for taking out the permeated fluid, which penetrates perpendicularly the means for collecting a permeated fluid at the center, and a fitting means provided with a passageway for passing a concentrated fluid being not permeated, said passageway being arranged at around central region of the means for collecting a permeated fluid so as to surround the permeation fluid pipe.


Archive | 1997

Integrating Affective Computing Into Animated Tutoring Agents

Clark Elliott; James C. Lester; Jeff Rickel


adaptive agents and multi-agents systems | 1997

I picked up Catapia and other stories: a multimodal approach to expressivity for “emotionally intelligent” agents

Clark Elliott


national conference on artificial intelligence | 1994

Research problems in the use of a shallow artificial intelligence model of personality and emotion

Clark Elliott


international joint conference on artificial intelligence | 1993

Using the affective reasoner to support social simulations

Clark Elliott


Archive | 1993

Variables Influencing the Intensity of Simulated Affective States

Clark Elliott; Greg J. Siegle


Intelligence\/sigart Bulletin | 1998

Hunting for the holy grail with “emotionally intelligent” virtual actors

Clark Elliott


Archive | 1995

Getting to the point: Emotion as a necessary and sufficient element of story construction

Clark Elliott

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James C. Lester

North Carolina State University

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Jeff Rickel

Information Sciences Institute

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Greg J. Siegle

University of Pittsburgh

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