An Automated Framework to Detect Emotions from Contextual Corpus

Perception of Blended Emotions: From Video Corpus to Expressive Agent

Real life emotions are often blended and involve several simultaneous superposed or masked emotions. This paper reports on a study on the perception of multimodal emotional behaviors in Embodied Conversational Agents. This experimental study aims at evaluating if people detect properly the signs of emotions in different modalities (speech, facial expressions, gestures) when they appear to be su...

Emotag: an Approach to Automated Markup of Emotions in Texts

This paper presents an approach to the automated mark-up of texts with emotional labels. The approach considers two possible representations of emotions in parallel: emotional categories (emotional tags used to refer to emotions) and emotional dimensions (measures that try to model the essential aspects of emotions numerically). For each representation, a corpus of example texts previously anno...

Emotional Context ? Or Contextual Emotions ?

The question “What is the meaning of a smile?” could be easily answered with the sentence “it means happiness”. But we can see in our daily lives that it is not always true. We also recognize that there is the context the one that makes us differentiate a happy smile from an embarrassed smile. The context is the framework that gives emotions a reason for happening because it describes what occu...

Contextual Recognition of Robot Emotions

An Automated Method To Detect Potential Mode Confusions

Mode confusions are a type of “automation surprise”—circumstances where an automated system behaves differently than its operator expects. It is generally accepted that operators develop “mental models” for the behavior of automated systems and use these to guide their interaction with the systems concerned, so that an automation surprise results when the actual system behavior diverges from it...