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Affective Interactions

Overview of attention for book
Cover of 'Affective Interactions'

Table of Contents

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    Book Overview
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    Chapter 1 Affective Interactions: Toward a New Generation of Computer Interfaces?
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    Chapter 2 Listen to Your Heart Rate: Counting the Cost of Media Quality
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    Chapter 3 Effective Affective in Intelligent Systems – Building on Evidence of Empathy in Teaching and Learning
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    Chapter 4 The Communication of Meaningful Emotional Information for Children Interacting with Virtual Actors
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    Chapter 5 Emotion and Facial Expression
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    Chapter 6 A Cognitive Approach to Affective User Modeling
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    Chapter 7 Affective Appraisal versus Cognitive Evaluation in Social Emotions and Interactions
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    Chapter 8 An Emotion-Based “Conscious” Software Agent Architecture
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    Chapter 9 Redesigning the Agents’ Decision Machinery
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    Chapter 10 Artificial Emotion and Emotion Learning: Emotions as Value Judgements
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    Chapter 11 Integrating Models of Personality and Emotions into Lifelike Characters
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    Chapter 12 Why Should Agents Be Emotional for Entertaining Users? A Critical Analysis
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    Chapter 13 Emotional Meaning and Expression in Animated Faces
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    Chapter 14 Relating Personality and Behavior: Posture and Gestures
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    Chapter 15 Affective Natural Language Generation
Attention for Chapter 10: Artificial Emotion and Emotion Learning: Emotions as Value Judgements
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Citations

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3 Mendeley
Summary Dimensions citations
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Chapter title
Artificial Emotion and Emotion Learning: Emotions as Value Judgements
Chapter number 10
Book title
Affective Interactions
Published by
Springer, Berlin, Heidelberg, January 2000
DOI 10.1007/10720296_10
Book ISBNs
978-3-54-041520-6, 978-3-54-044559-3
Authors

Stevo Bozinovski, Bozinovski, Stevo

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Arts and Humanities 1 33%

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