Affective Computing: Computers Have Feelings Too

Affective Computing: Computers Have Feelings Too

Summary: Researchers are turning to affective computing, a branch of artificial intelligence that promotes emotional intelligence in algorithms, to recognize, process, interpret, and simulate human emotion.

Source: Bentham Science Publishing

Affective Computing is an interdisciplinary field that includes Computer Science, Psychology, and Cognitive Science.

Designing affective computing systems aims to simulate and recognize emotions like humans. It can also be considered a part of Emotional Intelligence, a subset of Artificial Intelligence.

The best example is the new Apple Watch Ultra which uses sensors to detect body temperature, skin temperature and other psychological data through its sensors and communicates it to AI systems for health analysis.

Affective Computing is an emerging field that sits at the intersection of artificial intelligence and behavioral science. Affective Computing involves the study and development of systems that recognize, interpret, process and simulate human emotions. Recently it has seen significant advances from research studies to real-world applications.

Multimodal Affective Computing provides readers with a concise overview of state-of-the-art and emerging topics in affective computing, including a comprehensive overview of existing approaches in applied affective computing systems and social signal processing.

Affective Computing is an emerging field that sits at the intersection of artificial intelligence and behavioral science. The image is in the public domain

It covers recognition of affective facial expressions, affective body expression, affective speech processing, affective text and dialogue processing. Additionally, it covers computational models of emotion, theoretical foundations, and affective processing of speech and music.

This book identifies future directions for affective computing and summarizes guidelines for developing next-generation affective computing systems that are effective, secure, and human-centered.

The book is an informative resource for academics, professionals, researchers and students in engineering and medical institutions working in the fields of Applied Affective Computing, sentiment analysis and emotion recognition.

About this news about artificial intelligence and emotion research

Author: Noman Akbar
Source: Bentham Science Publishing
Contact: Noman Akbar – Bentham Science Publishing
Image: Image is in the public domain

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