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International Conference on Computational Science and Its Applications

ICCSA 2019: Computational Science and Its Applications – ICCSA 2019 pp 391–404Cite as

Emotion Recognition for Self-aid in Addiction Treatment, Psychotherapy, and Nonviolent Communication

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11620))

Abstract

This position paper aims to highlight possible future directions of applications for Affective Computing (AC) and Emotion Recognition (ER) for self-aid applications, as they emerge from the experience of the ACER-EMORE Workshops Series. ER in Artificial Intelligence offers a growing number of problem-solving multidisciplinary opportunities. Most current AC and ER applications are focused on a somewhat controversial enterprise-centered approach, i.e., recognizing user emotions to enable a third-party to achieve its own goals, in areas such as e-commerce, cybersecurity, behavior profiling, user experience. In this work we propose to explore a human-centered research direction, aiming at using AC/ER to enhance user consciousness of emotional states, ultimately supporting the development of self-aid applications. The use of facial ER and text ER to help forms of assistive technologies in the fields of Psychotherapy and Communication is an example of such a human-centered approach.

A general framework for ER in Self-aid is depicted, and some relevant application domains are suggested and discussed: dependencies treatment (DT) (e.g., workaholism, sexaholism); non-violent communication (NVC) for people in leading roles using e-mail or chat communication; empathy learning for parents and teachers in the circle-of-security (COS) caring environment.

Far from being complete and comprehensive, the purpose of this work is to trigger discussions and ideas for feasible studies and applications of ER in self-aid, which we hope to see published in the future editions of our workshops, believing that it may be one of the drops needed in the ocean of a better world.

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Acknowledgments

The authors thank all the researchers who participated to the 2019 edition of the EMORE and ACER workshops, to the previous editions and the special issue Emotional Machines, the Next Revolution (iOS Press, 2019): https://content.iospress.com/articles/web-intelligence/web190395. Thanks are due also to all the researchers who spend their time researching for application to make the life of the weakest easier.

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Authors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli 1, 06123, Perugia, Italy

    Valentina Franzoni & Alfredo Milani

  2. Department of Computer, Control, and Management Engineering “Antonio Ruberti”, Sapienza University of Rome, via Ariosto 25, 00185, Rome, Italy

    Valentina Franzoni

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  1. Valentina Franzoni
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  2. Alfredo Milani
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Correspondence to Valentina Franzoni .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Franzoni, V., Milani, A. (2019). Emotion Recognition for Self-aid in Addiction Treatment, Psychotherapy, and Nonviolent Communication. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11620. Springer, Cham. https://doi.org/10.1007/978-3-030-24296-1_32

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  • DOI: https://doi.org/10.1007/978-3-030-24296-1_32

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