9780199942237

The Oxford Handbook of Affective Computing

by ; ; ;
  • ISBN13:

    9780199942237

  • ISBN10:

    0199942234

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2014-12-02
  • Publisher: Oxford University Press

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $207.99 Save up to $31.20
  • Rent Book $176.79
    Add to Cart Free Shipping

    TERM
    PRICE
    DUE
    USUALLY SHIPS IN 3-5 BUSINESS DAYS

Supplemental Materials

What is included with this book?

  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
  • The Rental copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Summary

Affective Computing is a growing multidisciplinary field encompassing computer science, engineering, psychology, education, neuroscience, and many other disciplines. It explores how affective factors influence interactions between humans and technology, how affect sensing and affect generation techniques can inform our understanding of human affect, and on the design, implementation, and evaluation of systems that intricately involve affect at their core.

The Oxford Handbook of Affective Computing will help both new and experienced researchers identify trends, concepts, methodologies, and applications in this burgeouning field. The volume features 41 chapters divided into five main sections: history and theory, detection, generation, methodologies, and applications. Section One begins with a look at the makings of AC and a historical review of the science of emotion. Chapters discuss the theoretical underpinnings of AC from an interdisciplinary perspective involving the affective, cognitive, social, media, and brain sciences. Section Two focuses on affect detection or affect recognition, which is one of the most commonly investigated areas in AC. Section Three examines aspects of affect generation including the synthesis of emotion and its expression via facial features, speech, postures and gestures. Cultural issues in affect generation are also discussed. Section Four features chapters on methodological issues in AC research, including data collection techniques, multimodal affect databases, emotion representation formats, crowdsourcing techniques, machine learning approaches, affect elicitation techniques, useful AC tools, and ethical issues in AC. Finally, Section Five highlights existing and future applications of AC in domains such as formal and informal learning, games, robotics, virtual reality, autism research, healthcare, cyberpsychology, music, deception, reflective writing, and cyberpsychology.

With chapters authored by world leaders in each area, The Oxford Handbook of Affective Computing is suitable for use as a textbook in undergraduate or graduate courses in AC, and will serve as a valuable resource for students, researchers, and practitioners across the globe.

Table of Contents


1. Introduction to Affective Computing
Rafael A. Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas

Section One: Theories and Models

2. The Promise of Affective Computing
Rosalind W. Picard

3. A Short History of Psychological Perspectives of Emotion
Rainer Reisenzein

4. Neuroscientific Perspectives of Emotion
Andrew H. Kemp, Jonathan Krygier, and Eddie Harmon-Jones

5. Appraisal Models
Jonathan Gratch and Stacy Marsella

6. Emotions in Interpersonal Life: Computer Mediation, Modeling, and Simulation
Brian Parkinson

7. Social Signal Processing
Maja Pantic and Alessandro Vinciarelli

8. Why and How to Build Emotion-Based Agent Architectures
Christine Lisetti and Eva Hudlicka

9. Affect and Machines in the Media
Despina Kakoudaki

Section Two: Affect Detection

10. Automated Face Analysis for Affective Computing
Jeff Cohn and Fernando De la Torre

11. Automatic Recognition of Affective Body Expressions
Nadia Bianchi-Berthouze and Andrea Kleinsmith

12. Speech in Affective Computing
Chi-Chun Lee, Jangwon Kim, Angeliki Metallinou, Carlos Busso, Sungbok Lee, and Shrikanth S. Narayanan

13. Affect Detection in Texts
Carlo Strapparava and Rada Mihalcea

14. Physiological Sensing of Affect
Jennifer Healey

15. Affective Brain-Computer Interfaces: Neuroscientific Approaches to Affect Detection
Christian Mühl, Dirk Heylen, and Anton Nijholt

16. Interaction-Based Affect Detection in Educational Software
Ryan Baker and Jaclyn Ocumpaugh

17. Multimodal Affect Detection for Naturalistic Human-Computer and Human-Robot Interactions
Ginevra Castellano, Hatice Gunes, Christopher Peters, and Björn Schuller

Section Three: Affect Generation

18. Facial Expressions of Emotions for Virtual Characters
Magalie Ochs, Radoslaw Niewiadomski, and Catherine Pelachaud

19. Emotion Postures and Gestures
Stacy Marsella

20. Emotional Speech Synthesis
Felix Burkhardt and Nick Campbell

21. Emotion Modeling for Social Robots
Ana Paiva, Iolanda Leite, and Tiago Ribeiro

22. Preparing Emotional Agents for Intercultural Communication
Elisabeth André

Section Four: Methodologies and Databases

23. Multimodal Databases: Collection, Challenges, and Chances
Björn Schuller

24. Ethical Issues in Affective Computing (Research Studies and Outcomes)
Roddy Cowie

25. Research and Development Tools in Affective Computing
M. Sazzad Hussain, Sidney K. D'Mello, and Rafael A. Calvo

26. Emotion Data Collection and Its Implications for Affective Computing
Shazia Afzal and Peter Robinson

27. Emotion Elicitation
Jacqueline M. Kory and Sidney K. D'Mello

28. Crowdsourcing Techniques for Affective Computing
Robert R. Morris and Daniel McDuff

29. Emotion Mark-Up Language
Marc Schröder, Paolo Baggia, Felix Burkhardt, Catherine Pelachaud, Christian Peter, and Enrico Zovato

30. Machine Learning Techniques in Affective Computing
Ashish Kapoor

Section Five: Applications of Affective Computing

31. Feeling, Thinking, and Computing with Affect-Aware Learning Technologies
Sidney K. D'Mello and Art C. Graesser

32. Enhancing Informal Learning Experiences with Affect-Aware Technology
Chad Lane

33. Affect-Aware Reflective Writing Studios
Rafael A. Calvo

34. Emotions and Games
Georgios N. Yannakakis and Ana Paiva

35. Autonomous Closed-Loop Biofeedback: An Introduction and a Melodious Application
Egon L. van den Broek, Joris H. Janssen, and Joyce Westerink

36. Affect in Human-Robot Interaction
Ronald Arkin and Lilia Moshkina

37. Virtual Reality and Collaboration
Jakki Bailey and Jeremy Bailenson

38. Unobtrusive Deception Detection
Aaron Elkins, Stefanos Zafeiriou, Judee Burgoon, and Maja Pantic

39. Affective Computing, Emotional Development, and Autism
Daniel Messinger, Leticia Lobo Duvivier, Zachary Warren, Mohammad Mahoor, Jason Baker, Anne Warlaumont, and Paul Ruvolo

40. Relational Agents in Health Applications: Leveraging Affective Computing to Promote Healing and Wellness
Timothy Bickmore

41. Cyberpsychology and Affective Computing
Giuseppe Riva, Rafael A. Calvo, and Christine Lisetti

Glossary
Index

Rewards Program

Write a Review