Knowledge acquisition from prescriptive texts
IEA/AIE '90 Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Speech Communication - Special issue on auditory-visual speech processing
Acceptance and usability of a relational agent interface by urban older adults
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Multimodal expressive embodied conversational agents
Proceedings of the 13th annual ACM international conference on Multimedia
User modeling and adaptation in health promotion dialogs with an animated character
Journal of Biomedical Informatics - Special issue: Dialog systems for health communications
A document engineering environment for clinical guidelines
Proceedings of the 2007 ACM symposium on Document engineering
T2D: Generating Dialogues Between Virtual Agents Automatically from Text
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Health Document Explanation by Virtual Agents
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Are ECAs More Persuasive than Textual Messages?
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Fully automated generation of question-answer pairs for scripted virtual instruction
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
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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.