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Artifical Intelligence for Human Computing

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Cover of 'Artifical Intelligence for Human Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Foundations of Human Computing: Facial Expression and Emotion
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    Chapter 2 Instinctive Computing
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    Chapter 3 Human Computing and Machine Understanding of Human Behavior: A Survey
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    Chapter 4 Audio-Visual Spontaneous Emotion Recognition
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    Chapter 5 Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition
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    Chapter 6 Emotion and Reinforcement: Affective Facial Expressions Facilitate Robot Learning
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    Chapter 7 Trajectory-Based Representation of Human Actions
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    Chapter 8 Modelling the Communication Atmosphere: A Human Centered Multimedia Approach to Evaluate Communicative Situations
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    Chapter 9 Modeling Influence Between Experts
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    Chapter 10 Social Intelligence Design and Human Computing
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    Chapter 11 Feedback Loops in Communication and Human Computing
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    Chapter 12 Evaluating the Future of HCI: Challenges for the Evaluation of Emerging Applications
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    Chapter 13 Gaze-X: Adaptive, Affective, Multimodal Interface for Single-User Office Scenarios
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    Chapter 14 SmartWeb Handheld — Multimodal Interaction with Ontological Knowledge Bases and Semantic Web Services
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    Chapter 15 A Learning-Based High-Level Human Computer Interface for Face Modeling and Animation
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    Chapter 16 Challenges for Virtual Humans in Human Computing
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    Chapter 17 Affect Detection and an Automated Improvisational AI Actor in E-Drama
Attention for Chapter 3: Human Computing and Machine Understanding of Human Behavior: A Survey
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Citations

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311 Mendeley
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Chapter title
Human Computing and Machine Understanding of Human Behavior: A Survey
Chapter number 3
Book title
Artifical Intelligence for Human Computing
Published by
Springer, Berlin, Heidelberg, January 2007
DOI 10.1007/978-3-540-72348-6_3
Book ISBNs
978-3-54-072346-2, 978-3-54-072348-6
Authors

Maja Pantic, Alex Pentland, Anton Nijholt, Thomas S. Huang, Pantic, Maja, Pentland, Alex, Nijholt, Anton, Huang, Thomas S.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
United Kingdom 9 3%
Italy 4 1%
Germany 4 1%
France 3 <1%
Spain 3 <1%
Brazil 3 <1%
Netherlands 2 <1%
Switzerland 2 <1%
Other 20 6%
Unknown 251 81%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 114 37%
Researcher 44 14%
Student > Master 42 14%
Student > Bachelor 22 7%
Professor > Associate Professor 17 5%
Other 41 13%
Unknown 31 10%
Readers by discipline Count As %
Computer Science 186 60%
Engineering 44 14%
Psychology 12 4%
Social Sciences 9 3%
Business, Management and Accounting 5 2%
Other 17 5%
Unknown 38 12%