What does your profile picture say about you? The accuracy of thin-slice personality judgments from social networking sites made at zero-acquaintance

The myocardium exhibits heterogeneous nature due to scarring after Myocardial Infarction (MI). In Cardiac Magnetic Resonance (CMR) imaging, Late Gadolinium (LG) contrast agent enhances the intensity of scarred area in the myocardium. In this paper, we propose a probability mapping technique using Texture and Intensity features to describe heterogeneous nature of the scarred myocardium in Cardiac Magnetic Resonance (CMR) images after Myocardial Infarction (MI). Scarred tissue and non-scarred tissue are represented with high and low probabilities, respectively. Intermediate values possibly indicate areas where the scarred and healthy tissues are interwoven. The probability map of scarred myocardium is calculated by using a probability function based on Bayes rule. Any set of features can be used in the probability function. In the present study, we demonstrate the use of two different types of features. One is based on the mean intensity of pixel and the other on underlying texture information of the scarred and non-scarred myocardium. Examples of probability maps computed using the mean intensity of pixel and the underlying texture information are presented. We hypothesize that the probability mapping of myocardium offers alternate visualization, possibly showing the details with physiological significance difficult to detect visually in the original CMR image. The probability mapping obtained from the two features provides a way to define different cardiac segments which offer a way to identify areas in the myocardium of diagnostic importance (like core and border areas in scarred myocardiu

Longitudinal Intergroup Contact Effects on Prejudice Using Self- and Observer-Reports

Longitudinal effects of intergroup contact on prejudice were investigated in a sample of 65 young adults (Sample 1) and a sample of their close friends (Sample 2, N = 172), adopting a full cross-lagged panel design. We first validated the self-report measure of intergroup contact from sample 1 with observer ratings from sample 2 by demonstrating that self-reports and observer ratings of contact were highly correlated. Moreover, we obtained significant cross-lagged effects of intergroup contact on prejudice with both contact measures, thereby providing a second validation for the use of self-reports of intergroup contact. Finally, by the use of latent change modeling we demonstrated that, although no overall significant change in contact and prejudice over time was found, there was meaningful variation in absolute change in the individual levels of intergroup contact and prejudice. In particular, some individuals showed increases while others showed decreases in contact or prejudice across time. Moreover, higher levels of intergroup contact at Time 1 were followed by larger subsequent decreases in prejudice between Time 1 and Time 2, and changes in contact were significantly and negatively related to changes in prejudice. Methodological implications of the findings are discussed

Getting to know you: Accuracy and error in judgments of character

Character judgments play an important role in our everyday lives. However, decades of empirical research on trait attribution suggest that the cognitive processes that generate these judgments are prone to a number of biases and cognitive distortions. This gives rise to a skeptical worry about the epistemic foundations of everyday characterological beliefs that has deeply disturbing and alienating consequences. In this paper, I argue that this skeptical worry is misplaced: under the appropriate informational conditions, our everyday character-trait judgments are in fact quite trustworthy. I then propose a mindreading-based model of the socio-cognitive processes underlying trait attribution that explains both why these judgments are initially unreliable, and how they eventually become more accurate

Genetic and environmental links between self-reports and parent-reports of child personality

Personality ratings have been consistently found to be reliable and moderately heritable, but interrater agreement between self- and other-report of personality are low-to-moderate, particularly in childhood samples. The current study aims to examine the agreement between child self-reports and parent-informant reports of Big Five personality traits using a genetically informative approach. Using data from a sample of 2756 (982 monozygotic) twins ages six to 21 from The Texas Twin Project, we find that agreement between parent ratings and child-self reports for all Big 5 personality traits are mediated by both genetic and non-shared environmental influences. Models incorporating dominant genetic effects rather than additive genetic effects alone proved to better fit the data. In these models, the effect of additive genetics was strongly reduced or eliminated altogether in favor of strong dominant genetic influences, suggesting that dominant genetic effects play a key role in parent and child ratings of personality and should be more widely incorporated into similar research. Additive genetic effects were observed in parent reports of child extraversion, agreeableness, and neuroticism, but not in any self-reported traits. Dominant genetic effects, however, were observed in parent and child reports of extraversion, openness, conscientiousness, and neuroticism, as well as parent reports of agreeableness. Non-environmental effects were strong for all Big 5 traits reported by children and parents. Contrast effects, while slight, were observed in parent and self-reports of extraversion as well as parent reports of conscientiousness and neuroticism.Psycholog

Why are Male IQ Scores More Variable?

The male female difference in the variance of quantitative traits including IQ can be accounted for by the observation of the concentration of genes involved in brain development on the X chromosome and by the mechanism of sex determination in mammals. Females have two X chromosomes with one randomly inactivated. Males have a single X chromosome, which results in increased variance. It is shown that these factors are sufficient to account for the observed differences

On the Place of Text Data in Lifelogs, and Text Analysis via Semantic Facets

Current research in lifelog data has not paid enough attention to analysis of cognitive activities in comparison to physical activities. We argue that as we look into the future, wearable devices are going to be cheaper and more prevalent and textual data will play a more significant role. Data captured by lifelogging devices will increasingly include speech and text, potentially useful in analysis of intellectual activities. Analyzing what a person hears, reads, and sees, we should be able to measure the extent of cognitive activity devoted to a certain topic or subject by a learner. Test-based lifelog records can benefit from semantic analysis tools developed for natural language processing. We show how semantic analysis of such text data can be achieved through the use of taxonomic subject facets and how these facets might be useful in quantifying cognitive activity devoted to various topics in a person's day. We are currently developing a method to automatically create taxonomic topic vocabularies that can be applied to this detection of intellectual activity

In Search of Our True Selves: Feedback as a Path to Self-Knowledge

How can self-knowledge of personality be improved? What path is the most fruitful source for learning about our true selves? Previous research has noted two main avenues for learning about the self: looking inward (e.g., introspection) and looking outward (e.g., feedback). Although most of the literature on these topics does not directly measure the accuracy of self-perceptions (i.e., self-knowledge), we review these paths and their potential for improving self-knowledge. We come to the conclusion that explicit feedback, a largely unexamined path, is likely a fruitful avenue for learning about one’s own personality. Specifically, we suggest that self-knowledge might be fully realized through the use of explicit feedback from close, knowledgeable others. As such, we conclude that the road to self-knowledge likely cannot be traveled alone but must be traveled with close others who can help shed light on our blind spots

A Meta-Analytic Review of the Dark Triad-Intelligence Connection

We conducted a meta-analytic review of the relations between general mental ability (GMA) and the Dark Triad (DT) personality traits—Machiavellianism, narcissism, and psychopathy—to determine if individuals who display socially exploitative social qualities tend to be more intelligent or less intelligent. Across 48 independent samples, GMA showed no consistent relation with any DT trait. These effects were not sufficient to support either the “evil genius” hypothesis (highly intelligent individuals tend to display socially exploitative personality traits) or the “compensatory” hypothesis (less intelligent individuals compensate for their cognitive disadvantages by adopting manipulative behavioral tendencies). However, these relations were moderated, to some extent, by the sex and age of the participants, type of sample studied, and the measure of GMA