The bi-dimensionality theory of emotions proposes that the nature of emotional experience, or at least its 'affective core', is primarily determined by two main dimensions: pleasure and arousal (Russell 1980 , 1989 Reinsenzein 1994; Barrett 1998).
The affect heuristic (Finucane et al. 2000; King and Slovic 2014; Slovic et al. 2007) focuses on this linkage between risks and emotions, proposing that people use their affective, emotional response to a risk to judge its impact and occurrence probability.
Meyer drew on earlier psychological theories of emotion, which proposed that it arises when we're unable to satisfy some desire.
With the analysis on relation between sound production and glottis, the paper has introduced the glottal features into speech emotion recognition, proposed the model where the glottis is used for compensation of glottal features, and extracted the feature of Glottal Compensation to Zero Crossings with Maximal Teager Energy Operator GCZCMTT).
Thus in general, these findings appear to support the claim of women's superior emotion recognition proposed by Hall (1978).
To address the need of incorporation of emotions in agent programming languages, recently, extension of 2APL with emotions is proposed by the researchers.
To explore the feelings elicited by the video we used eight categories of emotions, as proposed by Colasanti and Mastromarino (1994) [ 34]: happiness, sadness, fear, rage, guilt, sense of competence, lack of self-confidence, and sense of inadequacy.
The two features that are most often discussed for categorizing emotions are emotion type and emotion intensity (e.g., see the emotion annotation scheme proposed in Wiebe et al. 2005).
Current models of prosodic emotion comprehension propose a three stage cognition mediated by temporal lobe auditory regions through to inferior and orbitofrontal regions.
Unlike the conventional audio feature extraction modules that mostly operates in Mel scale, in which speech contents are efficiently modeled rather than emotion, we propose working on perceptual spectrums derived in Bark scale.
