In this article we describe the use of mental states approach, more specifically the BDI model, to implement the process of affective diagnosis in an educational environment. We use the psychological OCC model, which is based on the cognitive theory of emotions and is possible to be implemented computationally, in order to infer the learner’s emotions from his actions in the system interface. I...

A set of words labeled with their prior emotion is an obvious place to start on the automatic discovery of the emotion of a sentence, but it is clear that context must also be considered. It may be that no simple function of the labels on the individual words captures the overall emotion of the sentence; words are interrelated and they mutually influence their affect-related interpretation. It ...

This paper explores some possibilities of using real-time processing of users’ physiological signals in order to improve the interaction with character-based interfaces. Specifically, interfaces that adapt to or reflect a user’s affective state as derived from the user’s autonomic nervous system activity will be discussed. The ‘Emotion Mirror’ is an example of a system where the user’s emotions...

As a hot topic of speech signal processing, speech emotion recognition methods have been developed rapidly in recent years. Some satisfactory results have been achieved. However, it should be noted that most of these methods are trained and evaluated on the same corpus. In reality, the training data and testing data are often collected from different corpora, and the feature distributions of di...

In this paper, the latest version of an emotion extraction engine used for real time Internet text communication is presented. The engine can analyse input text from a chat environment, extract the emotion being communicated, and deliver the parameters necessary to invoke an appropriate expressive image on screen to the communicating user display. The parameters include the emotion extracted fr...

This paper presents an approach to emotion recognition from speech signals and textual content. In the analysis of speech signals, thirty-three acoustic features are extracted from the speech input. After Principle Component Analysis (PCA) is performed, 14 principle components are selected for discriminative representation. In this representation, each principle component is the combination of ...

This paper argues that attention to affect/emotion be given greater prominence in applied linguistics following a theoretical and pedagogical framework delineated as critical affective literacy (CAL) by Anwaruddin (2016). Following brief description of key CAL principles, the authors explore potency affect emotionality texts way duo/trioethnography (Norris & Sawyer, 2012, 2017), research me...