Emotions are centered in subjective experiences that people represent, in part, with hundreds, if not thousands, of semantic terms. Claims about the distribution of reported emotional states and the boundaries between emotion categories-that is, the geometric organization of the semantic space of emotion-have sparked intense debate. Here we introduce a conceptual framework to analyze reported e...

Despite large efforts to understand emotional instability in borderline personality disorder (BPD), it is still unclear exactly how this is manifested in the daily lives of people suffering from the disorder. Building on theoretical and clinical observations of BPD, we propose that the emotional instability in BPD particularly consists of the occurrence of strong changes between positive and ne...

This paper addresses the problem of human emotion estimation. Human emotion understanding will play a very important role in future humancomputer interaction systems. Human emotion is a complicated temporal behavior. The technical difficulty in human emotion estimation lies in that the inherent emotional states are not measured directly. The only way to estimate the emotional states is from obs...

In addition to classic motor signs and symptoms, individuals with Parkinson's disease (PD) are characterized by emotional deficits. Ongoing brain activity can be recorded by electroencephalograph (EEG) to discover the links between emotional states and brain activity. This study utilized machine-learning algorithms to categorize emotional states in PD patients compared with healthy controls (HC...

This paper presents a representation system for maintaining interacting durative states to replicate realistic emotional control. Our model, the Dynamic Emotion Representation (DER) integrates emotional responses and keeps track of emotion intensities changing over time. The developer can specify an interacting network of emotional states with appropriate onsets, sustains and decays. The levels...

BACKGROUND Emotional states linked to arousal and mood are known to affect the efficiency of cognitive performance. However, the extent to which memory processes may be affected by arousal, mood or their interaction is poorly understood. METHODOLOGY/PRINCIPAL FINDINGS Following a study phase of abstract shapes, we altered the emotional state of participants by means of exposure to music that ...

SWANGNETR, MANIDA. Analysis of Patient-Robot Interaction Using Statistical and Signal Processing Methods. (Under the direction of Drs. David B. Kaber and Yuan-Shin Lee.) Due to a shortage of nurses in the U.S., future healthcare service robots are expected to interact directly with patients. In such a scenario, patient emotional needs may be equally important as traditional performance measures...

This article investigates the multivariate relationship between personal characteristics of prison staff, their work rank within the organizational hierarchy, working conditions, constraints of personal accomplishment, stressresponse states, and the emotional exhaustion. Specifically, this study attempts to determine the amount of variation that can be explained in emotional exhaustion, the mai...

Personalized products and services are the basic need to attract more customers and to gain a competitive advantage as most of the products available in the market place are similar in technical characteristics, quality, and price. Currently, most of the products and services don’t consider the emotional state of the users before offering personalized services which is a big drawback. User emot...

This study examined the trajectories of emotional states and their within-person synergies with perceived stress and recovery during a 4-month training period preceding the French swimming championships. A Multilevel Growth Curve Analysis approach was used with 16 high level swimmers. Five waves of assessments of emotional states, perceived stress and recovery were completed. Results indicated ...