EmoRG Research

EmoRG goal is to develop new methods and tools for affect recognition, interpretation and expression for different applications, including Intelligent Tutoring Systems and software engineering. The main research question addressed by emoRG research can be articulated as:
"How to effectively monitor, represent and process affect in Intelligent Systems to facilitate emotional states that support effectiveness?".

Research scope

Our research is focused in the following areas:
  • multimodal user emotional state elicitation
  • affect recognition algorithms based on biometrics
  • affect recognition based on visual input
  • affect recognition algorithms based on text analysis
  • affect recognition based on peripherals usage patterns
  • uncertainty in affect recognition
  • affect-awareness in intelligent systems
  • mechanisms for affect-aware control
  • affect visualisation and modelling
  • affect simulation for virtual characters
  • user affect interpretation and analysis
  • affective pattterns, stereotypes and interventions

Areas of applications

Application of our research is focused on (but not limited to):
  • user experience and usability testing
  • affective learning and e-learning
  • software process improvements
  • virtual characters design
  • gaming

Research methods

emoRG research methodology will build upon positivist and constructivist approach. Due to the nature of emotions, which are hard to detect and measure, diverse validation techniques will be employed, including:
  • simulations
  • experiments
  • prototyping
  • questionnaires and interviews