Guest Editorial: Ethics in Affective Computing

Jonathan Gratch

doi:10.1109/TAFFC.2023.3322918

Guest Editorial: Ethics in Affective Computing

2024-01-01

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DOI：10.1109/TAFFC.2023.3322918

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Stunning advances in machine learning are heralding a new era in sensing, interpreting, simulating and stimulating human emotion. In the human sciences, research is increasingly highlighting the explanatory power of emotions, feelings, and other affective processes to predict how we think and behave. This is beginning to translate into an explosion of applications that can improve human wellbeing including methods to reduce stress and improve emotion regulation skills, techniques to support healthier social media use, pain monitoring in neonates, and decision-support tools that recognize emotional bias.

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Special issues and sections

Machine learning

Emotion recognition

Sentiment analysis

Artificial intelligence

Simulation

Modeling

Human factors

Ethics

Privacy

Affective computing

Guest Editorial: Ethics in Affective Computing

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