Hausaufgaben in der Psychotherapie

Homework assignments represent a standard intervention in psychotherapy. Homework provides the unique opportunity to emphasize patients’ responsibility for therapeutic change and to intensify the therapeutic process. Despite these high potentials systematic homework assignment is still rare in practice. Psychotherapy research has just recently focused its attention on homework as an effective therapeutic method. Meanwhile the positive effects of homework use on therapeutic outcome have been demonstrated but little is known about therapeutic strategies to enhance these effects. The present article highlights the functions of homework within the therapeutic process and discusses its theoretical mechanisms of action. The article concludes with suggestions from both an empirical and practical point of view to further assist practitioners’ use of homework assignments.     

Positive and negative intergroup contact predict Black and White Americans' judgments about police violence against Black Americans

We examined whether past positive and negative interracial contact predict people's views of interracial police violence. White (N = 207) and Black (N = 116) Americans reported on their past intergroup experiences before viewing information about one of two true events involving the death of a Black man at the hands of a White police officer. For White Americans, negative contact predicted a reluctance to blame the officer and a willingness to believe that people's responses to the events involved “playing the race card.” For Black Americans, positive contact predicted marginally less officer blame and lower beliefs that the victim was racially profiled. This suggests the potential for a vicious cycle, whereby past contact experiences color perceptions of intergroup conflict in the present.     

Words, hemispheres, and dissociable subsystems: the effects of exposure duration, case alternation, priming, and continuity of form on word recognition in the left and right visual fields

Three experiments explore aspects of the dissociable neural subsystems theory of hemispheric specialisation proposed by Marsolek and colleagues, and in particular a study by [Deason, R. G., & Marsolek, C. J. (2005). A critical boundary to the left-hemisphere advantage in word processing. Brain and Language, 92, 251–261]. Experiment 1A showed that shorter exposure durations for lower-case words (13 ms) are associated with reduced right visual field (RVF) advantages compared with longer exposure durations (144 ms). Experiment 1B compared report accuracy for lower case and mixed case words at the same exposure duration (144 ms). The RVF advantage was reduced for mixed case words due to case alternation having more of an adverse effect in the RVF than in the LVF. Experiment 2 tested a different prediction of dissociable neural subsystems theory. Four-letter words were presented in mixed case in the LVF or RVF for 100 ms. They were preceded at the same location by a prime which could be in the same word in the same alternation pattern (e.g., FlAg–FlAg), the same word in the opposite alternation pattern (e.g., fLaG–FlAg), or an unrelated letter string in the same or opposite case alternation pattern (WoPk–FlAg or wOpK–FlAg). Relative to performance in the letter string prime conditions, which did not differ significantly between the two visual fields, there was more of an effect of word primes in the RVF than in the LVF. Importantly, the benefit of a word prime was the same whether the prime was in the same alternation pattern or was in the opposition alternation pattern. We argue that these results run contrary to the predictions of dissociable neural subsystems theory and are more compatible with theories which propose that a left hemisphere word recognition system is responsible for identifying written words, whether they are presented in the LVF or the RVF, and that letters are processed to an abstract graphemic level of representation before being identified by that system.     

“Pure Joy”: Spinoza on Laughter and Cheerfulness

Laughter is a significant topic for Renaissance and seventeenth-century philosophers. Still, the latter rarely approved of laughter but endorsed it as useful mockery for theological or philosophical purposes. Benedict Spinoza’s view of laughter stands out as an exception to this attitude as well as to previous and later ones. Spinoza differentiates between mockery and laughter, denounces the former as evil, and characterizes the latter as “pure joy”: laughter is about oneself rather than another and originates in noticing something good, rather than base or ugly. In contrast to melancholy, cheerfulness is “always good” and is a precondition of our liberation as it furthers the use of reason. Not only is Spinoza’s view original, but it is an important source of the eighteenth-century notions of good-natured laughter and good humor through a more than probable influence on their proponent, the Earl of Shaftesbury. Whilst Spinoza’s view of cheerfulness is briefly addressed in recent studies, his view of laughter goes unnoticed in most commentaries and is misrepresented in humor studies. Contrary to what is assumed in the philosophy of laughter, I argue that the most important defense of laughter comes not from a British Enlightenment thinker, but from the Dutch Jewish seventeenth-century philosopher.     

Automated classification of demographics from face images: A tutorial and validation

Examining disparities in social outcomes as a function of gender, age, or race has a long tradition in psychology and other social sciences. With an increasing availability of large naturalistic data sets, researchers are afforded the opportunity to study the effects of demographic characteristics with real‐world data and high statistical power. However, since traditional studies rely on human raters to asses demographic characteristics, limits in participant pools can hinder researchers from analyzing large data sets. Automated procedures offer a new solution to the classification of face images. Here, we present a tutorial on how to use two face classification algorithms, Face++ and Kairos. We also test and compare their accuracy under varying conditions and provide practical recommendations for their use. Drawing on two face databases (n = 2,805 images), we find that classification accuracy is (a) relatively high, with Kairos generally outperforming Face++ (b) similar for standardized and more variable images, and (c) dependent on target demographics. For example, accuracy was lower for Hispanic and Asian (vs. Black and White) targets. In sum, we propose that automated face classification can be a useful tool for researchers interested in studying the effects of demographic characteristics in large naturalistic data sets.     

Relative Clause Gap-Filling in Children with Specific Language Impairment

Children with Specific Language Impairment (SLI) have been observed to have production and perception difficulties with sentences containing long-distance dependencies, but it is unclear whether this is due to impairment in grammatical knowledge or in processing mechanisms. The current study addressed this issue by examining automatic on-line gap-filling in relative clauses, as well as off-line comprehension of the same stimulus sentences. As predicted by both knowledge impairment and processing impairment models, SLI children showed lack of immediate gap-filling after the relative clause verb, in comparison to a control group of typically developing children. However, on the off-line measure of comprehension of the same stimuli sentences, SLI children and TD children did not differ qualitatively. This finding is incompatible with knowledge impairment. We interpret the results to show that SLI children have impaired processing mechanisms (such as temporally delayed gap-filling) but are not impaired in their grammatical knowledge.