Flexible target templates improve visual search accuracy for faces depicting emotion

Theories of visual attention hypothesize that target selection depends upon matching visual inputs to a memory representation of the target – i.e., the target or attentional template. Most theories assume that the template contains a veridical copy of target features, but recent studies suggest that target representations may shift "off veridical" from actual target features to increase target-to-distractor distinctiveness. However, these studies have been limited to simple visual features (e.g., orientation, color), which leaves open the question of whether similar principles apply to complex stimuli, such as a face depicting an emotion, the perception of which is known to be shaped by conceptual knowledge. In three studies, we find confirmatory evidence for the hypothesis that attention modulates the representation of an emotional face to increase target-to-distractor distinctiveness. This occurs over-and-above strong pre-existing conceptual and perceptual biases in the representation of individual faces. The results are consistent with the view that visual search accuracy is determined by the representational distance between the target template in memory and distractor information in the environment, not the veridical target and distractor features.

     

Forgiveness – It Depends: A Discussion of “An Analyst Has a Birthday - Can Forgiveness Heal?”

Diane Barclay’s article (this issue) is a clear example of rich and productive clinical work and how in some contexts, both patient and analyst can benefit personally from the inherently intersubjective nature of psychoanalytic practice. Both analyst and patient spent years struggling to forgive mothers who were very deficient and who bore considerable resemblance to one another. Ultimately forgiving their respective mothers proved very helpful to both analytic partners, though I argue in my discussion that we cannot conclude that forgiveness per se, ought to be a universal value or aim.     

A Measurement Model of Media Parenting: Differences Across Parent and Child Reports and Youth Age and Sex

For youth raised in the Digital Age, online risks such as cyberbullying and sexting have become increasingly problematic. Since digital media is primarily consumed at home, parents play an important role in mitigating these risks; parents can teach children about online dangers, regulate the amount of time spent online, and, to some extent, curate the online content children see. The present study evaluated the psychometric properties of a four-factor media parenting measurement model introduced by Livingstone et al. (2011) across self-reports of a U.S. sample of parents (M_age?=?38.5) and children (ages 10–14; M_age?=?11.8). To identify meaningful group differences, latent mean comparisons were evaluated across youth age and gender. Confirmatory Factor Analysis results provided good fit to the data for the four-factor media parenting model based on both parent [χ2(201, n?=?306)?=?384.407; RMSEA_{(.046—.063)}?=?.055; CFI?=?.958; TLI/NNFI?=?.951; SRMR?=?.050] and child report [χ2(203, n?=?306)?=?378.033; RMSEA_(.045-.061)?=?.053; CFI?=?.942; TLI/NNFI?=?.934; SRMR?=?.060]. The final latent parenting factors included: Active Mediation, Monitoring, Technology Control, and Restrictive Mediation. Latent mean comparisons revealed that parents of girls reported higher levels of Monitoring than parents of boys, whereas girls reported higher levels of parental Restriction than boys. Similarly, older children and their parents reported lower Restriction than younger children and their parents. Overall, latent mean differences identified between media parenting domains may be important for youth outcomes and provide support for their inclusion as distinct factors in predictive models.