Reference : Interaction Profiles for an Artificial Conversational Companion
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/21983
Interaction Profiles for an Artificial Conversational Companion
English
Höhn, Sviatlana mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Busemann, Stephan mailto [Deutsches Forschungszentrum für Künstliche Intelligenz GmbH > Language Technology Lab]
Max, Charles mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Education, Culture, Cognition and Society (ECCS) >]
Schommer, Christoph mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Ziegler, Gudrun mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Languages, Culture, Media and Identities (LCMI) >]
Sep-2015
Yes
International
International Symposium on Companion Technology
23-25. September 2015
Ulm
Germany
[en] artificial companions ; interaction profiles ; foreign language practice ; conversation analysis ; instant messaging ; German
[en] Using Artificial Companions for tasks requiring long-term interaction like language learning or coaching can be approached by creating local computational models for particular interaction structures, and models reflecting changes in interaction over time. An Artificial Conversational Companion (ACC) that helps to practice conversation in a foreign language is expected to play the role of a language expert in conversation. We apply methods of Conversation Analysis to obtain data- driven models of interaction profiles for language experts and language novices from a corpus of instant messaging based dialogues between native speakers of German and advanced learners of German as a foreign language. We show different ways how the artificial agent can simulate ”doing being expert” in conversation and promote learning.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/10993/21983
http://isct2015.informatik.uni-ulm.de/#NaN

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