Björn Schuller, Adria Mallol-Ragolta, Alejandro Peña Almansa, Iosif Tsangko, Mostafa M. Amin, Anastasia Semertzidou, Lukas Christ, Shahin Amiriparian
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Affective Computing Has Changed: The Foundation Model Disruption
The dawn of Foundation Models has on the one hand revolutionised a wide range
of research problems, and, on the other hand, democratised the access and use
of AI-based tools by the general public. We even observe an incursion of these
models into disciplines related to human psychology, such as the Affective
Computing domain, suggesting their affective, emerging capabilities. In this
work, we aim to raise awareness of the power of Foundation Models in the field
of Affective Computing by synthetically generating and analysing multimodal
affective data, focusing on vision, linguistics, and speech (acoustics). We
also discuss some fundamental problems, such as ethical issues and regulatory
aspects, related to the use of Foundation Models in this research area.