Tune in to your emotions: a robust personalized affective music player

The emotional power of music is exploited in a personalized affective music player (AMP) that selects music for mood enhancement. A biosignal approach is used to measure listeners’ personal emotional reactions to their own music as input for affective user models. Regression and kernel density estimation are applied to model the physiological changes the music elicits. Using these models, personalized music selections based on an affective goal state can be made. The AMP was validated in real-world trials over the course of several weeks. Results show that our models can cope with noisy situations and handle large inter-individual differences in the music domain. The AMP augments music listening where its techniques enable automated affect guidance. Our approach provides valuable insights for affective computing and user modeling, for which the AMP is a suitable carrier application

Context Modulation of Facial Emotion Perception Differed by Individual Difference

Background: Certain facial configurations are believed to be associated with distinct affective meanings (i.e. basic facial expressions), and such associations are common across cultures (i.e. universality of facial expressions). However, recently, many studies suggest that various types of contextual information, rather than facial configuration itself, are important factor for facial emotion perception. Methodology/Principal Findings: To examine systematically how contextual information influences individuals ’ facial emotion perception, the present study estimated direct observers ’ perceptual thresholds for detecting negative facial expressions via a forced-choice psychophysical procedure using faces embedded in various emotional contexts. We additionally measured the individual differences in affective information-processing tendency (BIS/BAS) as a possible factor that may determine the extent to which contextual information on facial emotion perception is used. It was found that contextual information influenced observers ’ perceptual thresholds for facial emotion. Importantly, individuals ’ affectiveinformation tendencies modulated the extent to which they incorporated context information into their facial emotion perceptions. Conclusions/Significance: The findings of this study suggest that facial emotion perception not only depends on facial configuration, but the context in which the face appears as well. This contextual influence appeared differently wit

Personality dispositions in the prediction of posttraumatic stress reactions

The study examined the relationship of extraversion, neuroticism, and impulsiveness with posttraumatic stress reactions of avoidance and intrusion. 36 outpatients from a Trauma Unit at a major metropolitan hospital in Melbourne (Victoria), and 24 age-matched controls completed the Impact of Event Scale, the Eysenck Personality Questionnaire Revised, and the Impulsivity Questionnaire. Intrusion symptoms were predicted both by Extraversion and Neuroticism, after controlling for age and gender, with Neuroticism making a stronger contribution to the prediction. The only predictor of Avoidance symptoms was Neuroticism. Impulsivity correlated with Intrusion symptoms but predicted them only in the trauma group. This finding, along with the observed positive associations of Extroversion with both posttraumatic symptoms, lends support to Gray's model of dispositions influencing responses to trauma, suggesting that impulsive (extroverted) neurotics are more vulnerable to posttraumatic stress than introverted ones. </jats:p

Influence of response time frame on mood assessment

The present study compared mood assessments using two different response time frames. A sample of 136 school children completed the Brunel Mood Scale (BRUMS) daily for 5 days using the response time frame, 'How are you feeling right now?' On Day 5, participants completed an additional BRUMS, using the response time frame, 'How have you felt over the past week including today?'. 'Past week' mood assessments yielded higher scores than multiple 'right now' assessments, and were particularly associated with ambient mood for confusion, depression, and vigour. Researchers should give due consideration to the influence of response time frame on mood assessments