Applied Affective Computing / Leimin Tian, Sharon Oviatt, Michal Muszynski, Brent C. Chamberlain, Jennifer Healey, Akane Sano.

Format:

Book

Author/Creator:

Tian, Leimin, author.

Series:

ACM books - Collection 2 ; #41.

ACM books, 2374-6777 ; #41

Language:

English

Subjects (All):

Applied Affective Computing (Computer Science).

Genre:

Electronic books.

Physical Description:

1 online resource (xxvi, 282 pages) LuaTEX

Edition:

First Edition

Place of Publication:

[New York, NY, USA] : Association for Computing Machinery; [2022].

System Details:

Mode of access: World Wide Web

System requirements: Adobe Acrobat Reader

Contents:

Preface

1 Introduction to Applied Affective Computing

1.1 Affective Computing

1.2 Applied Affective Computing

1.3 Book Overview and Highlights

1.4 Contributions

2 Emotions as Studied in Psychology and Cognitive Science

2.1 Theories of Emotion

2.2 Emotion as an Adaptive Function

2.3 Emotion as a Social Communicative Function

2.4 Summary

3 Machine Learning Approaches for Applied Affective Computing

3.1 Machine Learning for Affective Computing

3.2 Deep Machine Learning for Affective Computing

3.3 Multimodal Representation of Affect: Knowledge-inspired versus Data-driven Features

3.4 Unimodal Features for Affect Recognition

3.5 Multimodal Emotion-aware Systems

3.6 Evaluation of Emotion-aware Systems

3.7 Synthesis of Emotion and Emotional Behaviors

3.8 Discussion

3.9 Conclusion

4 Multimodal Data Collection and Processing for Applied Affective Computing

4.1 Multimodal Data Collection

4.2 Multimodal Data Processing

4.3 Multimodal Data Fusion

4.4 Conclusion and Future Work

5 Emotion Recognition in the Wild

5.1 Modalities

5.2 Deep Learning for Emotion Recognition in the Wild

5.3 Emotion Representation in the Wild

5.4 Evaluation of Affect Recognition in the Wild

5.5 The Role of Context in Affect Recognition in the Wild

5.6 The Role of Environment in Affect Recognition in the Wild

5.7 Discussion

5.8 Conclusion

6 Reinforcement Learning and Affective Computing

6.1 Reinforcement Learning

6.2 Affective Computing

6.3 Extending the Reinforcement Learning Framework

6.4 Conclusions

7 Synthesizing Natural and Believable Emotional Expressions

7.1 Introduction

7.2 Emotional Expression Models

7.3 Synthesizing Emotional Expressions

7.4 The Role of Agency

7.5 Additional Considerations and Challenges

8 Emotion-aware Human-Robot Interaction and Social Robots

8.1 Developing Emotion-aware Human-Robot Interaction Systems

8.2 Improving Social Intelligence of a Robot by Addressing Social Errors in Human-Robot Interaction

8.3 Case Study: Prompting Human Assistance in Human-Robot Collaboration Using Robots' Emotional Expressions

8.4 Case Study: Understanding Users' Expectations of Robots in Public Spaces

8.5 Challenges in Affective HRI

8.6 Guidelines for Developing Affective HRI Systems and Social Robots

9 Affective Computing for Enhancing Well-Being

9.1 Motivation

9.2 Sensing and Analytics

9.3 Examples of Well-Being Studies

9.4 Sensing Beyond the Phone

9.5 Actions and Interventions

9.6 Conclusions

10 Applied Affective Computing in Built Environments

10.1 Setting the Foundation Toward Emotionally Aware Planning and Design

10.2 Case Study: Passive Responses to Urban Infrastructure

10.3 Experimental Task

10.4 Data

10.5 Approach

10.6 Results

10.7 Conclusions

10.8 Guidelines for Affective Computing in Built Environments

11 Addressing Ethical Issues of Affective Computing

11.1 Ethical Concerns of Affective Computing

11.2 A Fair System

11.3 A Privacy-preserving System

11.4 A Transparent System

11.5 A Beneficial System

11.6 A Responsible System

11.7 Conclusion

12 Future of Affective Computing and Applied Affective Computing

12.1 Applied Affective Computing: Guidelines for Best Practice

12.2 Example Uses of the Guidelines

12.3 Open Challenges and Future Directions

12.4 Summary

Bibliography

Author's Biographies

Index

Other Format:

Print version:

ISBN:

3502398

9781450395939

9781450395922

Access Restriction:

Restricted for use by site license.