Emotion Awareness in Dialog Agents : Affect Analysis of Textual Input Utterance and its Application in Human-Computer Interaction

Michal E. Ptaszynski

ISBN 10: 384543533X / ISBN 13: 9783845435336

Verlag: LAP LAMBERT Academic Publishing, 2011

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes my research on enhancing machines with Emotional Intelligence. I develop a set of affect analysis tools and propose methods for their efficient utilization. The first system, ML-Ask, separates emotive utterances from neutral and in the emotive utterances seeks for expressions of specific emotion types. The second system, CAO, extracts emoticons from input and determines the emotion types they express. The above systems are then utilized in two methods for enhancing of Human-Computer Interaction. The first is a method for automatic evaluation of conversational agents. In this method the information on user emotional engagement during conversation is reinterpreted to specify general attitudes to conversational agents. The second method determines whether emotions expressed by speaker are appropriate for the context of the conversation. The information on affective states of the user-speaker is confronted with gathered from the Internet list of emotions that should be expressed at the moment. I conclude the book with a discussion on other applications for the proposed methods and further work needed for full implementation of Emotional Intelligence in machines.

Bestandsnummer des Verkäufers 9783845435336

Bibliografische Details

• Titel: Emotion Awareness in Dialog Agents : Affect Analysis of Textual Input Utterance and its Application in Human-Computer Interaction
• Verlag: LAP LAMBERT Academic Publishing
• Veröffentlichungsdatum: 2011
• Sprache: Englisch
• ISBN-10: 384543533X
• ISBN-13: 9783845435336
• Bindung: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This book describes my research on enhancing machines with Emotional Intelligence. I develop a set of affect analysis tools and propose methods for their efficient utilization. The first system, ML-Ask, separates emotive utterances from neutral and in the emotive utterances seeks for expressions of specific emotion types. The second system, CAO, extracts emoticons from input and determines the emotion types they express. The above systems are then utilized in two methods for enhancing of Human-Computer Interaction. The first is a method for automatic evaluation of conversational agents. In this method the information on user emotional engagement during conversation is reinterpreted to specify general attitudes to conversational agents. The second method determines whether emotions expressed by speaker are appropriate for the context of the conversation. The information on affective states of the user-speaker is confronted with gathered from the Internet list of emotions that should be expressed at the moment. I conclude the book with a discussion on other applications for the proposed methods and further work needed for full implementation of Emotional Intelligence in machines.

Über die Autorin bzw. den Autor

Born in Wroclaw, Poland in 1981. He received his MA degree in Japanese Studies from the University of Adam Mickiewicz, Poland in 2006, and PhD in Information Science and Technology from Hokkaido University, Japan in 2011. Currently he is a JSPS Post-doctoral Research Fellow at the High-Tech Research Center, Hokkai-Gakuen University, Japan.