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Title Toward robotic socially believable behaving systems. Volume I, Modeling emotions / Anna Esposito, Lakhmi C. Jain, editors
Published Switzerland : Springer, [2016]
©2016

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Description 1 online resource (xvi, 240 pages) : illustrations (some color), portraits
Series Intelligent systems reference library, 1868-4408 ; volume 105
Intelligent systems reference library ; v. 105. 1868-4394
Contents 1. More than the Modeling of Emotions: A Foreword / Leopoldina Fortunati
2. Modeling Emotions in Robotic Socially Believable Behaving Systems / Anna Esposito and Lakhmi C. Jain. 2.1. Introduction. 2.2. Content of the Book. 2.3. Conclusions
3. The Role of Intention in Cognitive Robotics / D. Vernon, S. Thill and T. Ziemke. 3.1. Introduction. 3.2. The Prospective and Intentional Nature of Action. 3.3. Social Cognition and Social Interaction. 3.3.1. The Basis of Social Cognition. 3.3.2. Helping and Collaboration. 3.3.3. The Central Role of Intention in Mutual Interaction. 3.3.4. Joint Action. 3.3.5. Shared Intentions. 3.3.6. Joint Attention. 3.4. Reading Intentions and Theory of Mind. 3.5. Conclusions
4. Engagement Perception and Generation for Social Robots and Virtual Agents / Lee J. Corrigan, Christopher Peters, Dennis Küster and Ginevra Castellano. 4.1. Introduction. 4.2. Theory. 4.2.1. Fundamentals. 4.2.2. Concepts. 4.2.3. Experimental Considerations. 4.3. Practice. 4.3.1. Case Study 1: Engagement in Social Robotics. 4.3.2. Case Study 2: Engagement with Virtual Agents
5. Social Development of Artificial Cognition / Tony Belpaeme, Samantha Adams, Joachim de Greeff, Alessandro di Nuovo, Anthony Morse and Angelo Cangelosi. 5.1. Introduction. 5.2. Why Embodiment Matters. 5.2.1. The Origins of Abstract Concepts and Number: A Detailed Study. 5.3. Learning Through Social Interaction. 5.4. Powering Artificial Cognition with Spiking Neural Networks. 5.5. Conclusion and Outlook
6. Going Further in Affective Computing: How Emotion Recognition Can Improve Adaptive User Interaction / Sascha Meudt, Miriam Schmidt-Wack, Frank Honold, Felix Schüssel, Michael Weber, Friedhelm Schwenker and Günther Palm. 6.1. Introduction. 6.2. How to Classify Emotional States. 6.2.1. Psychological Emotion Models Leading to Labels. 6.2.2. Emotional Data Sets and Their Attributes. 6.2.3. Different Feature Types and Further Processing. 6.2.4. Different Concepts for Classification. 6.3. Concept of Emotion-Adaptive Companion-Systems. 6.3.1. System Architecture. 6.3.2. Identifying the Cause of Emotions for Proper Reactions. 6.4. Examples of Emotion-Based System Behavior. 6.4.1. Physical Interaction Layer: Automatic Volume Control. 6.4.2. Automatic Modality Selection on the Logical Interaction Layer. 6.4.3. Multiple Layers: The Announcement of Traffic Warnings. 6.4.4. Interaction Input Layer: Navigation Misunderstanding. 6.4.5. Interaction Input Layer: Seat Belt Reminder False Positive. 6.4.6. Interaction Input Layer: Media Control False Negative. 6.5. Discussion and Future Work
7. Physical and Moral Disgust in Socially Believable Behaving Systems in Different Cultures / Barbara Lewandowska-Tomaszczyk and Paul A. Wilson. 7.1. Introduction. 7.1.1. Role of Emotions in Social Robotics. 7.1.2. Typology of Disgust. 7.1.3. Overview of Present Study. 7.2. Materials and Methods. 7.2.1. Online Emotions Sorting Methodology. 7.2.2. GRID. 7.2.3. Language Corpus Data. 7.3. Results. 7.3.1. Online Emotions Sorting Results. 7.3.2. GRID Results. 7.3.3. Corpus Results. 7.4. Conclusions
8. Speaker's Hand Gestures Can Modulate Receiver's Negative Reactions to a Disagreeable Verbal Message / Fridanna Maricchiolo, Augusto Gnisci, Mariangela Cerasuolo, Gianluca Ficca and Marino Bonaiuto. 8.1. Introduction. 8.2. Method. 8.2.1. Results. 8.3. Time Course of Physiological Variables in Real-Time Measurement. 8.4. Change of Physiological Measures in Response to Gestures and Arguments' Different Strength. 8.5. Discussion. 8.6. Conclusions
9. Laughter Research: A Review of the ILHAIRE Project / Stéphane Dupont, Hüseyin Çakmak, Will Curran, Thierry Dutoit, Jennifer Hofmann, Gary McKeown, Olivier Pietquin, Tracey Platt, Willibald Ruch and Jérôme Urbain. 9.1. Introduction. 9.2. Roles and Functions. 9.3. Characteristics, Perception and Effect. 9.3.1. Perception of Facial Features. 9.3.2. Perception of Acoustic Features. 9.3.3. Perception of Bodily Portrayals. 9.3.4. Perception of Multimodal Portrayals. 9.4. Naturalistic Databases. 9.4.1. Existing Databases. 9.4.2. Hilarious Laughter Collection. 9.4.3. Conversational Laughter Collection. 9.4.4. Annotation. 9.5. Automatic Detection, Recognition and Characterization. 9.5.1. Acoustic. 9.5.2. Facial Expressions. 9.5.3. Body Movement and Gestures. 9.5.4. Respiration and Muscular Activity. 9.5.5. Multimodal Fusion. 9.6. Automatic Generation and Synthesis. 9.6.1. Acoustic Synthesis. 9.6.2. Visual Synthesis. 9.7. Interaction Modeling. 9.8. Application Perspectives. 9.9. Research Perspectives. 9.10. Conclusions
10. Prosody Enhances Cognitive Infocommunication: Materials from the HuComTech Corpus / Laszlo Hunyadi, István Szekrényes and Hermina Kiss. 10.1. Introduction. 10.2. Material. 10.2.1. Facial Expressions. 10.2.2. Syntactic Completeness/Incompleteness. 10.2.3. Prosody: Pitch Movement (Intonation). 10.3. Methods. 10.4. Discussion. 10.4.1. Facial Expressions. 10.4.2. Syntactic Completeness/Incompleteness. 10.5. Conclusions
11. Analysis of Emotional Speech--A Review / P. Gangamohan, Sudarsana Reddy Kadiri and B. Yegnanarayana. 11.1. Introduction. 11.2. Data Collection of Emotional Speech. 11.3. Emotional Speech Analysis. 11.3.1. Prosody Features. 11.3.2. Voice Quality Features. 11.3.3. Spectral Features. 11.3.4. Emotions as Points in Continuous Dimensional Space. 11.3.5. Studies on Emotion Recognition. 11.3.6. Limitations of the Studies. 11.4. Studies on Some Specific Research Issues. 11.4.1. Analysis-by-Synthesis to Explore Relative Contribution of Different Components of Emotional Speech. 11.4.2. Identification of Emotion-Specific Regions of Speech--Neutral Versus Non Neutral Speech. 11.4.3. Significance of Excitation Source Features in Emotional Speech. 11.4.4. Emotion Recognition System Based on Excitation Source Features. 11.4.5. Discrimination of Anger and Happiness. 11.4.6. Discrimination Between High Arousal and Falsetto Voices. 11.5. Research Challenges in Emotional Speech Analysis
Summary This volume is a collection of research studies on the modeling of emotions in complex autonomous systems. Several experts in the field are reporting their efforts and reviewing the literature in order to shed lights on how the processes of coding and decoding emotional states took place in humans, which are the physiological, physical, and psychological variables involved, invent new mathematical models and algorithms to describe them, and motivate these investigations in the light of observable societal changes and needs, such as the aging population and the cost of health care services. The consequences are the implementation of emotionally and socially believable machines, acting as helpers into domestic spheres, where emotions drive behaviors and actions. The contents of the book are highly multidisciplinary since the modeling of emotions in robotic socially believable systems requires a holistic perspective on topics coming from different research domains such as computer science, engineering, sociology, psychology, linguistic, and information communication. The book is of interest both to experts and students since last research works on a so complex multidisciplinary topic are described in a neat and didactical scientific language
Bibliography Includes bibliographical references and author index
Subject Human-robot interaction.
Robotics -- Human factors.
Emotions -- Social aspects
Artificial intelligence -- Social aspects
PSYCHOLOGY -- Physiological Psychology.
Artificial intelligence -- Social aspects
Emotions -- Social aspects
Human-robot interaction
Robotics -- Human factors
Form Electronic book
Author Esposito, Anna, editor.
Jain, L. C., editor.
ISBN 9783319310565
3319310569
Other Titles Modeling emotions