Introduction to Emotion AI - Computation (EMAI4EU)

This course introduces the psychological and computational foundations of Emotion AI and equips learners with the knowledge required to understand, evaluate, and responsibly apply technologies that detect, interpret, and respond to human emotions.

Across twelve modules, the course covers the concept and goals of Emotion AI; psychological theories of emotion; facial-expression recognition; voice-emotion analysis; text-based emotion detection; physiological signals; datasets, labelling, and machine-learning methods for affective computing; applications in healthcare, education, and business; cultural and ethical concerns; the technical limitations of emotion-recognition systems; and the evaluation of real-world Emotion AI products.

Course structure

• Introduce the concept, objectives, and psychological foundations of Emotion AI.
• Examine how AI systems analyse facial expressions, speech, text, and physiological signals.
• Explore datasets, labelling approaches, and machine-learning methods used in affective computing.
• Examine applications of Emotion AI in healthcare, education, and business.
• Explore cultural and ethical concerns involving consent, privacy, bias, and manipulation.
• Evaluate the technical limitations and societal risks associated with real-world Emotion AI systems and products.

Learning outcomes

Upon successful completion of this course, students will be able to:

• Explain the concept, objectives, and psychological foundations of Emotion AI.
• Describe how AI systems analyse facial expressions, speech, text, and physiological signals.
• Explain the role of datasets, labelling, and machine-learning methods in affective computing.
• Evaluate Emotion AI applications in healthcare, education, and business.
• Identify cultural and ethical concerns involving consent, privacy, bias, and manipulation.
• Critically assess the technical limitations and societal risks of an existing Emotion AI product.

Further details

This course is developed within the framework of the EMAI4EU project, with the support of the Digital Europe Programme of the European Union.

The course is delivered online and is self-paced. There are no fixed starting or completion dates.

Learners can register for a 28DIGITAL account or log in using an existing account and enrol through the course page.