I feel you: Towards affect-sensitive domotic Spoken Conversational Agents
العنوان: | I feel you: Towards affect-sensitive domotic Spoken Conversational Agents |
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المؤلفون: | Juan Manuel Montero, Andres Casanova-Garcia, Fernando Fernández-Martínez, Verónica López-Ludeña, Syaheerah Lebai Lutfi |
المصدر: | 4th International Workshop, IWAAL 2012 | 4th International Workshop, IWAAL 2012 | 3-5 diciembre 2012 | Vitoria-Gasteiz, Spain Lecture Notes in Computer Science ISBN: 9783642353949 IWAAL Archivo Digital UPM instname |
بيانات النشر: | E.T.S.I. Telecomunicación (UPM), 2012. |
سنة النشر: | 2012 |
مصطلحات موضوعية: | Telecomunicaciones, Computer science, Matemáticas, media_common.quotation_subject, Speech recognition, Contentment, Robótica e Informática Industrial, 02 engineering and technology, computer.software_genre, 03 medical and health sciences, 0302 clinical medicine, Domestic environment, Human–computer interaction, Order (business), Situated, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 030212 general & internal medicine, Affect (linguistics), Dialog box, Dialog system, Host (network), computer, media_common |
الوصف: | We describe the work on infusion of emotion into limited-task autonomous spoken conversational agents (SCAs) situated in the domestic environment, using a N eed-inspired task-independent Emo tion model (NEMO). In order to demonstrate the generation of affect through the use of the model, we describe the work of integrating it with a natural-language mixed-initiative HiFi-control SCA. NEMO and the host system communicates externally, removing the need for the Dialog Manager to be modified as done in most existing dialog systems, in order to be adaptive. We also summarize the work on automatic affect prediction, namely frustration and contentment from dialog features, a non-conventional source, in the attempt of moving towards a more user-centric approach. |
وصف الملف: | application/pdf |
اللغة: | English |
ردمك: | 978-3-642-35394-9 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8837cfd50a14133fcbdbdf5977a596b9 http://oa.upm.es/19802/ |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi.dedup.....8837cfd50a14133fcbdbdf5977a596b9 |
قاعدة البيانات: | OpenAIRE |
ردمك: | 9783642353949 |
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