Emotional dysregulation is thought to underlie risk for both anxiety and depressive disorders. However, despite high rates of comorbidity, anxiety and depression are phenotypically different. Apart from nosological differences (e.g., worry for anxiety, low mood for depression), it remains unclear how the emotional dysregulation inherent in individual differences in trait anxiety and depression ...

The multimedia principle states that adding graphics to text can improve student learning (Mayer, 2009), but all graphics are not equally effective. In the present study, students studied a short online lesson on distance education that contained instructive graphics (i.e., directly relevant to the instructional goal), seductive graphics (i.e., highly interesting but not directly relevant to th...

Introduction Automatic human emotion recognition is one of the most interesting topics in the field of affective computing. However, development of a reliable approach with a reasonable recognition rate is a challenging task. The main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (HRV). In t...

Depressed patients often complain of sleep disturbance. Routine antidepressive strategies sometimes fail to deal with this intractable issue. Indeed, the supplementation of sleep promoting antidepressants (eg, trazodone, mirtazapine, and agomelatine) is prevalent in clinical practice. However, the combination of different antidepressants may increase the affective lability. Herein, we document ...

The current document presents the design and implementation of an Intelligent Tutoring System (ITS) capable of being configured by different experts, in fields that are important for an ITS. Several features have been implemented so that the specialists are the ones who provide the required tools for the teaching of 3 grade natural numbers. The ITS can be modified by adding fuzzy sets and rules...

Real-life listening experiences contain a wide range of music types and genres. We create the first model of musical mood using a data set gathered in-situ during a user’s daily life. We show that while audio features, song lyrics and socially created tags can be used to successfully model musical mood with classification accuracies greater than chance, adding contextual information such as the...

We evaluate a wizard-of-oz spoken dialogue system that adapts to multiple user affective states in real-time: user disengagement and uncertainty. We compare this version with the prior version of our system, which only adapts to user uncertainty. Our analysis investigates how iteratively adding new affect adaptation to an existing affect-adaptive system impacts global and local performance. We ...

The evocation and detection of the user's emotional state is becoming a crucial element in the aim for developing more effective interfaces between humans and computers, especially in applications such as games and e-learning tools. In this paper, we describe a model that allows us to determine emotion in real time, based on Electromyography (EMG) and skin conductance. The developed emotion rec...

ablation [54]. abstraction [116, 133]. accelerated [402]. acceleration [22]. accelerometers [274]. accessibility [443]. account [50]. Accurate [51]. achieving [326]. ACM [175]. acoustic [79]. acquisition [391]. actions [137]. active [145]. adaptation [214, 203, 227]. Adaptive [59, 319, 367, 428, 209, 371, 384, 300, 396, 69, 305]. Adding [235]. adjustment [300, 323]. advances [162]. Advected [28...