情感计算已经改变:基础模型的颠覆

Björn Schuller, Adria Mallol-Ragolta, Alejandro Peña Almansa, Iosif Tsangko, Mostafa M. Amin, Anastasia Semertzidou, Lukas Christ, Shahin Amiriparian
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引用次数: 0

摘要

基础模型的出现一方面彻底改变了广泛的研究问题,另一方面也使普通大众获得和使用基于人工智能的工具更加民主化。我们甚至观察到,这些模型正在侵入与人类心理学相关的学科,如情感计算领域,这表明它们具有情感方面的新兴能力。在这项工作中,我们旨在通过合成生成和分析多模态情感数据,提高人们对情感计算领域基础模型能力的认识,重点关注视觉、语言学和语音(声学)。我们还讨论了与在该研究领域使用基础模型有关的一些基本问题,如伦理问题和监管方面的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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