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Affective Computing: An Introduction to the Detection, Measurement, and Current Applications

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Advances in Artificial Intelligence-based Technologies

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 22))

Abstract

Affective computing aims to design and develop natural human-user interfaces that respond to the emotional needs of the user, bridging the gap between humans and technology. With the continuing technological advancements affective computing technologies are now available at the consumer level and are revolutionizing the ways in which we interact with computers. From simple entertainment applications to assistive technologies, the field of affective computing holds great promise. The aim of this chapter is to provide the reader with a greater understanding of affective computing while highlighting current issues, example use cases, limitations, and areas of future research.

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Acknowledgements

The financial support of the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Social Sciences and Humanities Research Council of Canada (SSHRC), is gratefully acknowledged.

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Authors and Affiliations

  1. Software and Informatics Research Centre, Ontario Tech University, Oshawa, ON, Canada

    Geoffrey Gaudi, Bill Kapralos & Alvaro Quevedo

  2. maxSIMhealth Group, Ontario Tech University, Oshawa, ON, Canada

    Bill Kapralos

  3. School of Information Technology, Carleton University, Ottawa, ON, Canada

    K. C. Collins

Authors
  1. Geoffrey Gaudi
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  2. Bill Kapralos
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  3. K. C. Collins
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  4. Alvaro Quevedo
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Corresponding author

Correspondence to Bill Kapralos .

Editor information

Editors and Affiliations

  1. Department of Informatics, University of Piraeus, Piraeus, Greece

    Maria Virvou

  2. Department of Informatics, University of Piraeus, Piraeus, Greece

    George A. Tsihrintzis

  3. Director of Applied Intelligent Systems Laboratory, Department of Nuclear Engineering, Purdue University, West Lafayette, IN, USA

    Lefteri H. Tsoukalas

  4. KES International, Shoreham-by-Sea, UK

    Lakhmi C. Jain

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Gaudi, G., Kapralos, B., Collins, K., Quevedo, A. (2022). Affective Computing: An Introduction to the Detection, Measurement, and Current Applications. In: Virvou, M., Tsihrintzis, G.A., Tsoukalas, L.H., Jain, L.C. (eds) Advances in Artificial Intelligence-based Technologies. Learning and Analytics in Intelligent Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-80571-5_3

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