Advocating a Componential Appraisal Model to Guide Emotion Recognition

Advocating a Componential Appraisal Model to Guide Emotion Recognition

Most models of automatic emotion recognition use a discrete perspective and a black-box approach, i.e., they output an emotion label chosen from a limited pool of candidate terms, on the basis of purely statistical methods. Although these models are successful in emotion classification, a number of practical and theoretical drawbacks limit the range of possible applications. In this paper, the ...

Emotion perception from a componential perspective.

The common conceptual understanding of emotion is that they are multi-componential, including subjective feelings, appraisals, psychophysiological activation, action tendencies, and motor expressions. Emotion perception, however, has traditionally been studied in terms of emotion labels, such as "happy", which do not clearly indicate whether one, some, or all emotion components are perceived. W...

A Scenario Model Advocating User-Driven Adaptive Document Recognition Systems

Assisted document recognition systems have to integrate automatic recognition, manual edition and incremental learning in a single interactive environment. This paper raises the question of the organization of these three kinds of operations. When an analyzer has the ability to improve with use, there is a tradeoff between the benefits of enhancing the accuracy of automatic analysis, and the ad...

A Predictive Model for Emotion Recognition Based on Individual Characteristics and Autonomic Changes

Introduction: The importance of individual differences in the problem of emotion recognition has been repeatedly stated in the studies. The major concentration of this study was the prediction of heart rate variability (HRV) changes due to affective stimuli from the subject characteristics. These features were age (A), gender (G), linguality (L), and sleep (S) information. In addition, the most...

A Componential Model of Collaborative Innovation