Affective Computing

Affective computing is an emerging interdisciplinary research field bringing together researchers and practitioners from various fields, ranging from artificial intelligence, natural language processing, to cognitive and social sciences. Furthermore, Affective computing aims to enable intelligent systems to recognize, feel, infer and interpret human emotions. It is an interdisciplinary field which spans from computer science to psychology, and from social science to cognitive science. Though sentiment analysis and emotion recognition are two distinct research topics, they are conjoined under the field of Affective Computing research.
The InFra is designed to enable the construction of Computational Models of Emotion (CMEs) whose underlying architectures provide an environment that promotes the interaction between affective and cognitive components implemented by CMEs and cognitive agent architectures, respectively.
The main objective is to design a formal software methodology for the development of CMEs, incorporating adapted artifacts from software science such as those associated with the requirements analysis, design, implementation, testing, and maintenance procedures, in the context of CMEs, which would lead this type of models to incorporating software quality features such as scalability, adaptability, extensibility, reusability, modularity and interoperability. Specific objectives:
  • Definition of guidelines to evaluate emotion theories to be modeled in CMEs.
  • Homogenization of the components, phases, and cycles implemented in CMEs.
  • Identification of standard criteria for comparative analysis between CMEs.
  • Definition of software engineering principles, concepts, and design practices useful in the construction of CMEs.
  • Definition of standard frameworks to validate the technical functionality and dynamics of emotions in CMEs.

Current Projects

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