mlsanityData to 13 Oct 2026

Affective Computing Has Changed: The Foundation Model Disruption

arXiv 2409.08907 ↗First posted 13 Sep 2024cs.AI cs.CL cs.CYcited by 7

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Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 13 Oct 2026). Builds on 51 of its 85 references that are in the map. First posted on arXiv 13 Sep 2024.

Builds on

51 of 85 references.

References · 51

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38 more
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50 most cited of 51 All 51 (JSON)

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Cited by year (2026 to 13 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 4.

7 papers.