Javier Gonzalez-Sanchez

This talk describes the fundamentals and a step-by-step approach to jumpstart the development of affect-driven self-adaptive systems. As fundamentals, it introduces concepts and mechanisms related to monitoring affect and detecting improvement opportunities, selecting a course of action, and effect changes. It describes a domain-specific architecture and well-documented process guidelines using software patterns.

This talk provides a description and demonstration of devices and methodologies for automatically detecting affective states with a multimodal approach. It does not intend to present a comprehensive survey, but instead, a roadmap through the description and demonstration of a selection of devices and methodologies. It presents examples of data samples, collected in experimental studies, and discusses experiences using devices and methodologies in learning, entertainment, and healthcare scenarios.