Visualizing the importance of medical recommendations with conversational agents

Hdl Handle:
http://hdl.handle.net/10149/93939
Title:
Visualizing the importance of medical recommendations with conversational agents
Book Title:
Intelligent virtual agents
Authors:
Georg, G. (Gersende); Cavazza, M. O. (Marc); Pelachaud, C. (Catherine)
Editors:
Prendinger, H. (Helmut); Lester, J. (James); Ishizuka, M. (Mitsuru)
Affiliation:
University of Teesside. School of Computing.
Citation:
Georg, G., Cavazza, M. O. and Pelachaud, C. (2008) 'Visualizing the importance of medical recommendations with conversational agents', 8th international conference, IVA, Tokyo, Japan, September 1-3, in Prendinger, H., Lester, J. and Ishizuka, M. (eds) Intelligent virtual agents, Lecture notes in computer science. Heidelberg: Springer Berlin, pp.380-393.
Publisher:
Springer Berlin
Conference:
8th international conference, IVA 2008, Tokyo, Japan, September 1-3, 2008
Issue Date:
Aug-2008
URI:
http://hdl.handle.net/10149/93939
DOI:
10.1007/978-3-540-85483-8_39
Abstract:
Embodied Conversational Agents (ECA) have the potential to bring to life many kinds of information, and in particular textual contents. In this paper, we present a prototype that helps visualizing the relative importance of sentences extracted from medical texts (clinical guidelines aimed at physicians). We propose to map rhetorical structures automatically recognized in the documents to a set of communicative acts controlling the expression of the ECA. As a consequence, the ECA will dramatize a sentence to reflect its perceived importance and degree of recommendation (advice, requirement, open proposal, etc). This prototype is constituted of three sub-systems: i) a text analysis module, ii) an ECA and iii) a mapping module which converts rhetorical structures produced by the text analysis module into nonverbal behaviors driving the ECA animation. This system could help authors of medical texts to reflect on the potential impact of the writing style they have adopted. The use of ECA re-introduces an affective element which won't be captured by other methods for analyzing document style.
Type:
Meetings and Proceedings; Book Chapter
Language:
en
Keywords:
embodied conversational agents; ECA; emotional natural language processing; medical informatics; visualizing; importance; medical texts
Series/Report no.:
Lecture notes in computer science; 5208
ISSN:
0302-9743; 1611-3349
Rights:
Author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 09/03/2010]
Citation Count:
1 [Scopus, 09/03/2010]

Full metadata record

DC FieldValue Language
dc.contributor.authorGeorg, G. (Gersende)en
dc.contributor.authorCavazza, M. O. (Marc)en
dc.contributor.authorPelachaud, C. (Catherine)en
dc.contributor.editorPrendinger, H. (Helmut)en
dc.contributor.editorLester, J. (James)en
dc.contributor.editorIshizuka, M. (Mitsuru)en
dc.date.accessioned2010-03-09T11:44:17Z-
dc.date.available2010-03-09T11:44:17Z-
dc.date.issued2008-08-
dc.identifier.issn0302-9743-
dc.identifier.issn1611-3349-
dc.identifier.doi10.1007/978-3-540-85483-8_39-
dc.identifier.urihttp://hdl.handle.net/10149/93939-
dc.description.abstractEmbodied Conversational Agents (ECA) have the potential to bring to life many kinds of information, and in particular textual contents. In this paper, we present a prototype that helps visualizing the relative importance of sentences extracted from medical texts (clinical guidelines aimed at physicians). We propose to map rhetorical structures automatically recognized in the documents to a set of communicative acts controlling the expression of the ECA. As a consequence, the ECA will dramatize a sentence to reflect its perceived importance and degree of recommendation (advice, requirement, open proposal, etc). This prototype is constituted of three sub-systems: i) a text analysis module, ii) an ECA and iii) a mapping module which converts rhetorical structures produced by the text analysis module into nonverbal behaviors driving the ECA animation. This system could help authors of medical texts to reflect on the potential impact of the writing style they have adopted. The use of ECA re-introduces an affective element which won't be captured by other methods for analyzing document style.en
dc.language.isoenen
dc.publisherSpringer Berlinen
dc.relation.ispartofseriesLecture notes in computer science-
dc.relation.ispartofseries5208-
dc.rightsAuthor can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 09/03/2010]en
dc.subjectembodied conversational agentsen
dc.subjectECAen
dc.subjectemotional natural language processingen
dc.subjectmedical informaticsen
dc.subjectvisualizingen
dc.subjectimportanceen
dc.subjectmedical textsen
dc.titleVisualizing the importance of medical recommendations with conversational agentsen
dc.typeMeetings and Proceedingsen
dc.typeBook Chapteren
dc.contributor.departmentUniversity of Teesside. School of Computing.en
dc.title.bookIntelligent virtual agentsen
dc.identifier.conference8th international conference, IVA 2008, Tokyo, Japan, September 1-3, 2008en
ref.citationcount1 [Scopus, 09/03/2010]en
or.citation.harvardGeorg, G., Cavazza, M. O. and Pelachaud, C. (2008) 'Visualizing the importance of medical recommendations with conversational agents', 8th international conference, IVA, Tokyo, Japan, September 1-3, in Prendinger, H., Lester, J. and Ishizuka, M. (eds) Intelligent virtual agents, Lecture notes in computer science. Heidelberg: Springer Berlin, pp.380-393.-
prism.startingPage380-
prism.endingPage393-
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