Affective Computing: Theory, Methods, and Applications
By: Eva Hudlicka (author)Hardback
1 - 2 weeks availability
In spite of the rapid growth that has made affective computing a highly active area of research and practice, no single volume exists that covers recent technological developments and provide the necessary background on relevant empirical research and theoretical foundations from psychology and neuroscience. Filling this need, this book is designed to be a textbook for advanced undergraduate and graduate courses and an introductory practitioner guide for newcomers to the field. Its' depth of coverage makes it suitable as reference for researchers and practitioners in the different subfields of affective computing.
Psychometrix Associates, Inc., Blacksburg, Virginia, USA
Introduction and Overview. Overview of Affective Computing. Background Information: Theoretical and Empirical Background from Emotion Research. Historical Perspectives on Emotion. Emotion Research in Psychology. Emotion Research in Neuroscience. Emotion Sensing, Recognition, and Expression by Machines. Framework for Describing Generic Requirements for Emotion Recognition and Expression. Methods and Techniques. Emotion Sensing and Recognition by Machines. Emotion Expression. Computational Models of Emotion. Framework for Comparison and Analysis. Methods and Techniques: Cognitive Modeling Cognitive Architectures. Models of Emotion Generation via Cognitive Appraisal. Models of Emotion Effects on Attention, Perception, and Memory. Cognitive-Affective Architectures, Agent Architectures, and Affective User Models. Validation and Usability of Affective Models and Systems. Applications. Affective HCI. Affective and Social Agents and Robots. Affect in Visual Reality Environments. Emotions in Social Interaction. Conclusions. Conclusions. Appendices.
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- ID: 9781420082623
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