The Deep Method: Towards Computational Modeling of the Social Emotion Shame driven by Theory, Introspection, and Social Signals-Reference-Cited by-同舟云学术

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The Deep Method: Towards Computational Modeling of the Social Emotion Shame driven by Theory, Introspection, and Social Signals

Published:2023 Issue: Volume: Page:1-16
ISSN:1949-3045
Container-title:IEEE Transactions on Affective Computing
language:
Short-container-title:IEEE Trans. Affective Comput.

Author:

Schneeberger Tanja¹^ORCID,Hladký Mirella¹,Thurner Ann-Kristin¹,Volkert Jana²^ORCID,Heimerl Alexander³^ORCID,Baur Tobias³,André Elisabeth³^ORCID,Gebhard Patrick¹

Affiliation:

1. Affective Computing Group, Department of Cognitive Assistants, German Research Center for Artificial Intelligence, Saarland Informatics Campus, Saarbrücken, Germany

2. Clinical Psychology and Psychotherapy, MSB Medical School Berlin GmbH, Berlin, Germany

3. Lab for Human-Centered AI, Augsburg University, Augsburg, Germany

Funder

German Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Software

Link

http://xplorestaging.ieee.org/ielx7/5165369/5520654/10191021.pdf?arnumber=10191021

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1. Guest Editorial Best of ACII 2021;IEEE Transactions on Affective Computing;2024-04

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