Emotion Awareness in Dialog Agents

Michal E. Ptaszynski

ISBN 10: 384543533X / ISBN 13: 9783845435336

Published by LAP LAMBERT Academic Publishing Aug 2011, 2011

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 204 pp. Englisch.

Seller Inventory # 9783845435336

Bibliographic Details

• Title: Emotion Awareness in Dialog Agents
• Publisher: LAP LAMBERT Academic Publishing Aug 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 384543533X
• ISBN 13: 9783845435336
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 322 grams

About this title

Synopsis

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.

About the Author

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.