Consider the situation: Reducing automatic stereotyping through Situational Attribution Training

The present research investigated the effectiveness of a new technique for reducing automatic biases rooted in attribution theory - the Situational Attribution Training Technique. The goal of this strategy extends previous work by targeting the fundamental attributional pillars underlying automatic stereotyping. We aimed to circumvent the well-documented tendency for individuals to be overly reliant on dispositional attributions when perceiving negative stereotype-consistent behaviors performed by outgroup members. By teaching participants to consider situational attributions for such behaviors, we expected a reduction in outgroup stereotyping. Specifically, White participants were trained extensively to choose situational over dispositional explanations for negative stereotype-consistent behaviors performed by Black men. Across two experiments, participants who completed Situational Attribution Training demonstrated reduced automatic racial stereotyping on a person categorization task, relative to control participants who exhibited substantial automatic stereotyping. The implications of these findings for the nature and reduction of intergroup biases are discussed.     

The kinds of information that support novel associative object priming and how these differ from those that support item priming

We investigated how the information that supports novel associative and item object priming differs under identical study/test conditions. In Experiments 1 and 2, participants rated the meaningfulness of sentences linking two object pictures at study. At test, they performed either a size judgement or an associative recognition memory task on intact, recombined and novel picture (Experiment 1) or word (Experiment 2) associations. Associative priming was modulated by subjective meaningfulness of the encoded links, and depended on study/test perceptual overlap. In contrast, item priming was neither affected by the meaningfulness of the sentences nor by study/test changes in the stimulus presentation format. Associative priming and recognition were behaviourally dissociated, and associative recognition was probably too slow to have seriously contaminated associative priming. In Experiment 3, participants performed a perceptually oriented task during both experimental phases, and both associative and item priming were observed. These results suggest that associative priming depends on stored associative semantic and perceptual information when the test task requires flexible retrieval of associative information. Under the same conditions, item priming may only require activation of items' semantic properties. When both study and test tasks stress perceptual processing, retrieval of perceptual information is sufficient to support both kinds of priming.     

Affective and cognitive predictors of affective response to exercise: Examining unique and overlapping variance

ObjectivesAffective response to exercise has been suggested as an important factor in determining regular exercise. However, it is unclear the extent to which anticipatory affect factors (affective attitudes, implicit associations, and affective associations), anticipated affect factors (anticipated regret, anticipated pride), and cognitive factors (self-efficacy, intentions) explain overlapping or unique variance in affective response to exercise.DesignWe systematically examined the extent to which these various affective and cognitive factors relevant to exercise predict affective response, and determined the extent to which these factors account for unique or overlapping variance in affective response.MethodHealthy young adults (N = 69) completed measures of affective attitudes, affective associations, implicit associations, anticipated affect, self-efficacy, and exercise intentions. Participants then exercised for 20-min at moderate intensity on a treadmill, during and after which they reported their affective response. Using variables that were independent predictors, we conducted multivariate analyses to determine which factors account for unique variance in affective response to exercise.ResultsIn three of four multivariate models, both anticipated and anticipatory affect variables explained unique variance in affective response during exercise. Only anticipatory affect variables accounted for unique variance in affective response immediately post-exercise. Finally, the association between exercise self-efficacy and affective response during-exercise was rendered non-significant after controlling for affective factors in all three multivariate models.ConclusionsThe unique associations between affective response to exercise and affective, but not cognitive, factors elucidate key predictors of affective response during- and post-exercise.     

Evaluations versus stereotypes in emotion recognition: a replication and extension of Craig and Lipp’s (2018) study on facial age cues

Recently, Cognition and Emotion published an article demonstrating that age cues affect the speed and accuracy of emotion recognition. The authors claimed that the observed effect of target age on emotion recognition is better explained by evaluative than stereotype associations. Although we agree with their conclusion, we believe that with the research method the authors employed, it was impossible to detect a stereotype effect to begin with. In the current research, we successfully replicate previous findings (Study 1). Furthermore, by changing the comparative context, Study 2 provides a first test of age-stereotypes affecting emotions recognition. We discuss recommendations for future studies in the domain of social categorisation and emotion recognition.     

Implicit Cognition and Addiction

ABSTRACT— Extensive recent research has begun to unravel the more implicit or automatic cognitive mechanisms in addiction. This effort has increased our understanding of some of the perplexing characteristics of addictive behaviors. The problem, often, is not that substance abusers do not understand that the disadvantages of continued use outweigh the advantages; rather, they have difficulty resisting their automatically triggered impulses to use their substance of abuse. Existing interventions may help to moderate these impulses. In addition, new techniques aimed at directly modifying implicit cognitive processes in substance abuse are being developed.     

Semantic boost on episodic associations: an empirically-based computational model

Words become associated following repeated co-occurrence episodes. This process might be further determined by the semantic characteristics of the words. The present study focused on how semantic and episodic factors interact in incidental formation of word associations. First, we found that human participants associate semantically related words more easily than unrelated words; this advantage increased linearly with repeated co-occurrence. Second, we developed a computational model, SEMANT, suggesting a possible mechanism for this semantic-episodic interaction. In SEMANT, episodic associations are implemented through lateral connections between nodes in a pre-existent self-organized map of word semantics. These connections are strengthened at each instance of concomitant activation, proportionally with the amount of the overlapping activity waves of activated nodes. In computer simulations SEMANT replicated the dynamics of associative learning in humans and led to testable predictions concerning normal associative learning as well as impaired learning in a diffuse semantic system like that characteristic of schizophrenia.     

Sabina Spielrein: psychoanalytic studies

The unconscious fantasies in Kuprin's Duel , p.201
Animal symbolism and a boy's phobia, p.202
The mother-in-law, p.205     

Books received

Analytical Psychology
Rowland, Susan, C. G. Jung and Literary Theory. The Challenge from Fiction
Evolutionary Psychiatry
Stevens, Anthony & Price, John, Prophets, Cults and Madness.
Existential Psychotherapy
Yalom, Irvind, Momma and the Meaning of Life: Tales of Psychotherapy.     

Contrasting Acquisition-Focused and Performance-Focused Models of Acquired Behavior

What is encoded during a learning experience? In a learning situation, a training (acquisition) phase is often followed by a test phase. Acquisition-focused models (most associative models) emphasize information processing that occurs during training and assume that only summary statistics (associative values) are retained to influence behavior during testing. Performance-focused models (a k a "computational" models) emphasize information processing that occurs at test and often assume fairly comprehensive memory of prior experiences. In this article, we contrast these two families of models. We note that neither family can claim unique support from the various learning phenomena commonly cited as favoring one or the other position. Within each family, there are highly diverse models that preclude blanket generalizations. However, the acquisition-focused view that subjects retain only summary statistics suggests unrealistically impoverished memories relative to the fairly veridical memories that clearly are formed. But this oversimplifying assumption of acquisition-focused associative theories is exactly what has made them superior to performance-focused models to date in stimulating research.     

The associations between space and order in numerical and non-numerical sequences

Spatial-numerical associations have been found across different studies, yet the basis for these associations remains debated. The current study employed an order judgment task to adjudicate between two competing accounts of such associations, namely the Mental Number Line (MNL) and Working Memory (WM) models. On this task, participants judged whether number pairs were in ascending or descending order. Whereas the MNL model predicts that ascending and descending orders should map onto opposite sides of space, the WM model predicts no such mapping. Moreover, we compared the spatial-order mapping for numerical and non-numerical sequences because the WM model predicts no difference in mapping. Across two experiments, we found consistent spatial mappings for numerical order along both horizontal and vertical axes, consistent with a MNL model. In contrast, we found no consistent mappings for letter sequences. These findings are discussed in the context of conflicting extant data related to these two models.