Mortality salience increases language style matching and well-being

The present research examined whether people imitate the language style of others (i.e., the use of function words) as a form of liking when mortality concerns are salient. In Study 1, participants answered questions about death or public speaking and then engaged in an instant messaging conversation with a confederate. In Study 2, participant pairs verbally discussed a news article about increasing homicide rates or the rise in academic pressure. Next, everyone completed measures of self-esteem, life satisfaction, and relationship need satisfaction. The results revealed that, in comparison to the control conditions, participants exhibited greater language style matching (LSM) following reminders of death (Studies 1 & 2). Further, mediational analyses showed that higher LSM after mortality salience was associated with better psychological and social well-being (Study 2). Although the threat of death has been shown to make people more hostile and disparaging toward dissimilar others, the present work suggests that individuals, even strangers, may feel closer through language coordination following thoughts of mortality.     

From Pixels to People: A Model of Familiar Face Recognition

Research in face recognition has largely been divided between those projects concerned with front-end image processing and those projects concerned with memory for familiar people. These perceptual and cognitive programmes of research have proceeded in parallel, with only limited mutual influence. In this paper we present a model of human face recognition which combines both a perceptual and a cognitive component. The perceptual front-end is based on principal components analysis of face images, and the cognitive back-end is based on a simple interactive activation and competition architecture. We demonstrate that this model has a much wider predictive range than either perceptual or cognitive models alone, and we show that this type of combination is necessary in order to analyse some important effects in human face recognition. In sum, the model takes varying images of “known” faces and delivers information about these people.     

Ten years of the rational analysis of cognition

Rational analysis is an empirical program that attempts to explain the function and purpose of cognitive processes. This article looks back on a decade of research outlining the rational analysis methodology and how the approach relates to other work in cognitive science. We illustrate rational analysis by considering how it has been applied to memory and reasoning. From the perspective of traditional cognitive science, the cognitive system can appear to be a rather arbitrary assortment of mechanisms with equally arbitrary limitations. In contrast, rational analysis views cognition as intricately adapted to its environment and to the problems it faces.     

Four Covariance Structure Models for Canonical Correlation Analysis: A COSAN Modeling Approach

The mathematical connection between canonical correlation analysis (CCA) and covariance structure analysis was first discussed through the Multiple Indicators and Multiple Causes (MIMIC) approach. However, the MIMIC approach has several technical and practical challenges. To address these challenges, a comprehensive COSAN modeling approach is proposed. Specifically, we define four COSAN-CCA models to correspond with four possible combinations of the data to be analyzed and the unique parameters to be estimated. In terms of the data, one can analyze either the unstandardized or standardized variables. In terms of the unique parameters, one can estimate either the weights or loadings. Besides the unique parameters of each COSAN-CCA model, all four COSAN-CCA models also estimate the canonical correlations as their common parameters. Taken together, the four COSAN-CCA models provide the correct point estimates and standard error estimates for all commonly used CCA parameters. Two numeric examples are used to compare the standard error estimates obtained from the MIMIC approach and the COSAN modeling approach. Moreover, the standard error estimates from the COSAN modeling approach are validated by a simulation study and the asymptotic theory. Finally, software implementation and future extensions are discussed.     

InterFace: A software package for face image warping,averaging, and principal components analysis

We describe InterFace, a software package for research in face recognition. The package supports image warping, reshaping, averaging of multiple face images, and morphing between faces. It also supports principal components analysis (PCA) of face images, along with tools for exploring the “face space” produced by PCA. The package uses a simple graphical user interface, allowing users to perform these sophisticated image manipulations without any need for programming knowledge. The program is available for download in the form of an app, which requires that users also have access to the (freely available) MATLAB Runtime environment.     

Responding to social and symbolic extrafoveal cues: cue shape trumps biological relevance

Psychological Research - Social cues presented at visual fixation have been shown to strongly influence an observer’s attention and response selection. Here we ask whether the same holds for...     

Forgiveness in Younger,Middle-Aged and Older Adults: Age and Gender Matters

The present study investigated age and gender differences in forgiveness of real-life transgressions. Emerging and young, middle-aged, and older adults recalled the most recent and serious interpersonal transgression and then completed the Transgression-Related Interpersonal Motivations Inventory (TRIM-18), which measured their avoidance, revenge, and benevolence motivation toward an offender and indicated to what extent they are generally concerned with the subject of forgiveness. The results revealed a trend among middle-aged adults to express more avoidance than younger adults. Moreover, young men had a greater motivation to seek revenge than middle-aged and older men. No such age differences were apparent for women. Additionally, forgiveness was a more manifest subject in everyday life for middle-aged adults and women. These findings emphasize the importance of age and gender when investigating forgiveness.