Affective medicine: technology with emotional intelligence.

Area of Science:

• Computer Science
• Affective Computing
• Human-Computer Interaction

Background:

• Historically, emotions were excluded from medical and scientific tools.
• Recent research highlights the significant health implications of emotions like stress, anger, and depression.
• There is a need for technology to sense, measure, and respond to affective information.

Purpose of the Study:

• To develop computer systems capable of sensing, recognizing, and responding to human emotions.
• To explore the application of affective computing in healthcare and well-being.
• To create empathetic and responsive computer systems.

Main Methods:

• Development of wearable and interactive computer systems.
• Implementation of algorithms for emotion recognition.
• Designing systems for active listening, empathy, and sympathy.

Main Results:

• Demonstration of computer systems recognizing various emotions (frustration, confusion, interest, stress, anger, joy).
• Successful application in teaching affective skills to individuals with autism.
• Development of systems to help users manage emotions like frustration.

Conclusions:

• Computers can be endowed with the ability to perceive and respond to human emotions.
• Affective computing holds promise for improving health outcomes and personal well-being.
• Future applications include personalized health management and enhanced human-computer interaction.