Minimal‐group membership influences children's responses to novel experience with group members

Children, like adults, tend to prefer ingroup over outgroup individuals, but how this group bias affects children's processing of information about social groups is not well understood. In this study, 5‐ and 6‐year‐old children were assigned to artificial groups. They observed instances of ingroup and outgroup members behaving in either a positive (egalitarian) or a negative (stingy) manner. Observations of positive ingroup and negative outgroup behaviors reliably reduced children's liking of novel outgroup members, while observations of negative ingroup and positive outgroup behaviors had little effect on liking ratings. In addition, children successfully identified the more generous group only when the ingroup was egalitarian and the outgroup stingy. These data provide compelling evidence that children treat knowledge of and experiences with ingroups and outgroups differently, and thereby differently interpret identical observations of ingroup versus outgroup members.     

Collaboration of Colorado Cancer Genetic Counselors to Integrate Next Generation Sequencing Panels into Clinical Practice

The recent introduction of clinically available next generation sequencing (NGS) cancer panels has presented new challenges for genetic counselors. Determining which patients are appropriate for NGS panel testing is complex. Due to the large number of genes included in the NGS panels, thorough and appropriate pre-test counseling and interpretation of NGS results can be a time-consuming and difficult process. Many of the genes associated with increased cancer risk lack published clinical management guidelines and estimates of cancer risk for individuals with deleterious mutations. In order to efficiently and effectively review the clinical utility of NGS panels, Colorado cancer genetic counselors formed a working group to gain a better understanding of the genes included in NGS cancer panels. This publication reports on the approach of this group, the process used to evaluate a selected NGS panel, future directions for this collaboration, and ideas for other genetic counselors to form similar groups to efficiently evaluate new technologies and improve practice.     

Mental illness disclosure in organizations: defining and predicting (un)supportive responses

Employees with a mental illness regularly encounter situations where they must make decisions regarding the extent to which they discuss their stigma. Past research has found links between positive disclosure experiences and positive well-being and job-related outcomes for the individual disclosing. However, research on stigma disclosure has not yet defined what differentiates a supportive response from an unsupportive one, and there is evidence to suggest that people are unsure of how to best respond to a disclosure. In a series of three studies, we sought to develop a better understanding of mental illness disclosure at work. First, we created a typology of supportive and unsupportive responses to disclosure via critical incidents gathered from working adults with a mental illness. Second, we surveyed working adults with and without a mental illness to examine if they perceive the supportiveness of responses differently. Third, in an experimental study, we examined which methods of disclosure are most effective in eliciting a supportive response. This work identifies several types of supportive (e.g., providing emotional support) and unsupportive (e.g., denial of symptoms) responses to mental illness disclosure and finds that individuals without a mental illness have a reasonable understanding of what an individual with a mental illness would also identify as supportive/unsupportive responses. We also find that downplaying one’s mental illness will likely lead to a less supportive response.

     

Changes in Life Goals Over College: A Comparison Between Men and Women Majoring in STEM

Sex Roles - Informed by goal congruity theory and emerging adulthood theory, this study examined changes over time and gender differences in the importance that college STEM majors placed on three...     

Gender stereotypes and belonging across high school girls’ social groups: beyond the STEM classroom

Social Psychology of Education - Previous research on the impact of gender stereotypes on female adolescents’ feeling of belonging to peer groups has focused on STEM classrooms and...     

Carryover effect of joint attention to repeated events in chimpanzees and young children

Gaze following is a fundamental component of triadic social interaction which includes events and an object shared with other individuals and is found in both human and nonhuman primates. Most previous work has focused only on the immediate reaction after following another’s gaze. In contrast, this study investigated whether gaze following is retained after the observation of the other’s gaze shift, whether this retainment differs between species and age groups, and whether the retainment depends on the nature of the preceding events. In the social condition, subjects (1- and 2-year-old human children and chimpanzees) witnessed an experimenter who looked and pointed in the direction of a target lamp. In the physical condition, the target lamp blinked but the experimenter did not provide any cues. After a brief delay, we presented the same stimulus again without any cues. All subjects looked again to the target location after experiencing the social condition and thus showed a carryover effect. However, only 2-year-olds showed a carryover effect in the physical condition; 1-year-olds and chimpanzees did not. Additionally, only human children showed spontaneous interactive actions such as pointing. Our results suggest that the difference between the two age groups and chimpanzees is conceptual and not only quantitative.     

The development of numerical estimation: evidence against a representational shift

How do our mental representations of number change over development? The dominant view holds that children (and adults) possess multiple representations of number, and that age and experience lead to a shift from greater reliance upon logarithmically organized number representations to greater reliance upon more accurate, linear representations. Here we present a new theoretically motivated and empirically supported account of the development of numerical estimation, based on the idea that number‐line estimation tasks entail judgments of proportion. We extend existing models of perceptual proportion judgment to the case of abstract numerical magnitude. Two experiments provide support for these models; three likely sources of developmental change in children’s estimation performance are identified and discussed. This work demonstrates that proportion‐judgment models provide a unified account of estimation patterns that have previously been explained in terms of a developmental shift from logarithmic to linear representations of number.     

Eye movement prediction and variability on natural video data sets

We here study the predictability of eye movements when viewing high-resolution natural videos. We use three recently published gaze data sets that contain a wide range of footage, from scenes of almost still-life character to professionally made, fast-paced advertisements and movie trailers. Inter-subject gaze variability differs significantly between data sets, with variability being lowest for the professional movies. We then evaluate three state-of-the-art saliency models on these data sets. A model that is based on the invariants of the structure tensor and that combines very generic, sparse video representations with machine learning techniques outperforms the two reference models; performance is further improved for two data sets when the model is extended to a perceptually inspired colour space. Finally, a combined analysis of gaze variability and predictability shows that eye movements on the professionally made movies are the most coherent (due to implicit gaze-guidance strategies of the movie directors), yet the least predictable (presumably due to the frequent cuts). Our results highlight the need for standardized benchmarks to comparatively evaluate eye movement prediction algorithms.