arXiv Open Access 2026

Modelling Emotions is an Elusive Pursuit in Affective Computing

Anders Rolighed Larsen Sneha Das Line Clemmensen

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Abstrak

Affective computing - combining sensor technology, machine learning, and psychology - have been studied for over three decades and is employed in AI-powered technologies to enhance emotional awareness in AI systems, and detect symptoms of mental health disorders such as anxiety and depression. However, the uncertainty in such systems remains high, and the application areas are limited by categorical definitions of emotions and emotional concepts. This paper argues that categorical emotion labels obscure emotional nuance in affective computing, and therefore continuous dimensional definitions are needed to advance the field, increase application usefulness, and lower uncertainties.

Topik & Kata Kunci

eess.AS

Penulis (3)

Anders Rolighed Larsen

Sneha Das

Line Clemmensen

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APA MLA BibTeX

Larsen, A.R., Das, S., Clemmensen, L. (2026). Modelling Emotions is an Elusive Pursuit in Affective Computing. https://arxiv.org/abs/2603.23017

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Informasi Jurnal

Tahun Terbit: 2026
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓