Guiding drivers towards safer driving speed: Exploiting visual dominance in speed adaptation

Inappropriate speed is a main cause of accidents. Drivers are often unaware of potential risks due to inadequate speed. To prevent dangerous situations, we need to understand perceptual factors influencing human speed perception. Due to the prominent role of vision in driving, we examined the effect of visuo-spatial stimuli on speed based on the optic flow. While developing an adaptive infrastructure measure to reduce speed, we conducted two consecutive studies, a driving simulator study and a field test to investigate findings further. In both studies, we placed lights on two sides of a highway exit and either illuminated them statically or activated them in a way that they appeared to be moving towards the driver. We expected drivers to slow down more when seeing static light stimuli compared to a baseline without lights. We also expected drivers to decrease speed more in conditions with oncoming lights compared to a baseline, and to static lights, due to distorted speed perception. The first study in a static driving simulator revealed no difference between conditions. In the field test, both static lights and lights moving towards the driver led to a speed reduction compared to a baseline but did not differ from one another. Lights in general led to lower driving speed, potentially due to their warning character, but we found no difference between the light conditions, suggesting that the effect might not be based on the optic flow. Future research should investigate the relationship between driven and perceived speed more closely.     

Discrimination in measures of knowledge monitoring accuracy

Knowledge monitoring predicts academic outcomes in many contexts. However, measures of knowledge monitoring accuracy are often incomplete. In the current study, a measure of students’ ability to discriminate known from unknown information as a component of knowledge monitoring was considered. Undergraduate students’ knowledge monitoring accuracy was assessed and used to predict final exam scores in a specific course. It was found that gamma, a measure commonly used as the measure of knowledge monitoring accuracy, accounted for a small, but significant amount of variance in academic performance whereas the discrimination and bias indexes combined to account for a greater amount of variance in academic performance.     

Different subjective awareness measures demonstrate the influence of visual identification on perceptual awareness ratings

We compare four subjective awareness measures in the context of a visual identification task and investigate quantitative differences in terms of scale use and correlation with task performance. We also analyse the effect of identification task decisions on subsequent subjective reports. Results show that awareness ratings strongly predict accuracy for all scale types, although the type of awareness measure may influence the reported level of perceptual awareness. Surprisingly, the overall relationship between awareness ratings and performance was weaker when participants rated their awareness before providing identification responses. Furthermore, the Perceptual Awareness Scale was most exhaustive only when used after the identification task, whereas confidence ratings were most exhaustive when used before the identification task. We conclude that the type of subjective measure applied may influence the reports on visual awareness. We also propose that identification task decisions may affect subsequent awareness ratings.     

The CORE‐10: A short measure of psychological distress for routine use in the psychological therapies

Background: There is a need for a generic, short, and easy‐to‐use assessment measure for common presentations of psychological distress in UK primary care mental health settings. This paper sets out the development of the CORE‐10 in response to this need. Method: Items were drawn from the CORE‐OM and 10 items were selected according to a combination of usefulness, coverage of item clusters, and statistical procedures. Three CORE‐OM datasets were employed in the development phase: (1) a primary care sample, (2) a sample from an MRC platform trial of enhanced collaborative care of depression in primary care, and (3) a general population sample derived from the Office of National Statistics Psychiatric Morbidity Follow‐up survey. A fourth dataset comprising a sample from an occupational health setting was used to evaluate the CORE‐10 in its standalone format. Results: The internal reliability (alpha) of the CORE‐10 was .90 and the score for the CORE‐10 correlated with the CORE‐OM at .94 in a clinical sample and .92 in a non‐clinical sample. The clinical cut‐off score for general psychological distress was 11.0 with a reliable change index (90% CI) of 6. For depression, the cut‐off score for the CORE‐10 was 13 and yielded sensitivity and specificity values of .92 (CI=.83–1.0) and 0.72 (CI=.60–.83) respectively. Conclusion: The CORE‐10 is an acceptable and feasible instrument that has good psychometric properties and is practical to use with people presenting with common mental health problems in primary care settings.     

On the controllability of evaluative-priming effects: Some limits that are none

Two experiments examined recent claims of uncontrollability of the evaluative-priming effect. According to these claims, imposing an adaptive 600 ms response deadline prevents successful faking (Degner, 2009). Furthermore, strategic control attempts have been argued not to reduce the priming measure's sensitivity to spontaneous evaluations so that correlations of evaluative-priming effects with external criteria are not affected by attempts to fake (Bar-Anan, 2010). Here, we show that faking is possible even with an adaptive 600 ms response deadline when faking instructions do not conflict with speed pressures imposed thereby (Experiments 1 and 2). In addition, suitable faking instructions substantially affect the predictive validity of priming effects in terms of their correlations with (non-faked) self-report measures and the Implicit Association Test (Experiment 2). The previous claims about the uncontrollability of the evaluative-priming effect may thus have been premature.     

Free Associations as a Measure of Stable Implicit Attitudes

Two studies explored the psychometric properties of free association methods for the assessment of attitudes. Even though the stability of the actual associations was rather low, psychometric properties of the valence estimates of the free associations were highly satisfactory. Valence estimates of associations were provided by independent judges who rated the valence of the associations that were generated by participants. Valence estimates of the associations showed satisfactory internal consistencies and retest reliabilities over three weeks. Additionally, valence estimates of the associations were significantly and independently related to both explicit self‐reported attitudes and implicit attitudes that were assessed with an Ossi–Wessi Implicit Association Test. Free association methods represent a useful complement to the family of implicit measures and are especially suitable for the assessment of non‐relative attitudes towards single attitude objects. Copyright © 2012 John Wiley & Sons, Ltd.     

Empirically Derived Ability-Achievement Subtypes in a Clinical Sample

The purpose of the present study was to identify reliable and clinically meaningful patterns of ability and achievement using the WISC-III and WIAT. Cluster analysis was used to group the 182 WISC-III and WIAT profiles (10 WISC-III subtests and 4 WIAT subtests) of children between the ages of 9 and 14 years. Theoretical and empirical considerations were used to identify a cluster solution, which involved comparison of several five-, six- and eight-cluster solutions. A five-cluster solution was selected as being representative of the data, which was well replicated across three hierarchical clustering methods (i.e., complete linkage, average linkage-within groups, and average linkage-between groups (UPGMA)). The clusters were labeled based on their most salient characteristics, which included a group of predominantly low ability and achievement, a group demonstrating a pattern of verbal processing deficits, a group demonstrating a pattern of visual spatial/processing speed deficits, a group with low ability and achievement with average processing speed, and a group with deficits consistent with an ACID pattern. The external validity of the five subtypes was assessed through an evaluation of the relationship between cluster membership and neuropsychological test data. Most predictions regarding neuropsychological performance were supported by the data, providing further evidence of the validity of the five-cluster solution. Clinical implications of the ability-achievement typology and suggestions for future research are discussed.     

Cross-cultural generalizability of the Personality and Role Identity Structural Model (PRISM): Implications for trait and cultural psychology

The cross-cultural generalizability of the Personality and Role Identity Structural Model (PRISM; Wood & Roberts, 2006) was tested in the United States, Mexico, Malaysia, China, and Japan. Participants rated their general and role identities, as defined by the PRISM, using Big Five trait adjectives, then rated their personality states (i.e., role experiences) in various roles in multiple daily interactions for 14 days. Structural predictions based on the PRISM were supported in all five cultures. Cultural differences were limited and did not reflect cultural differences in individualism–collectivism, dialecticism, or cultural tightness. The results supported the cross-cultural generalizability of the PRISM and the merits of contextualized trait measures in the prediction of role experiences. Implications for trait and cultural psychology are discussed.     

Gamma- and theta-band synchronization during semantic priming reflect local and long-range lexical–semantic networks

Anterior and posterior brain areas are involved in the storage and retrieval of semantic representations, but it is not known how these areas dynamically interact during semantic processing. We hypothesized that long-range theta-band coherence would reflect coupling of these areas and examined the oscillatory dynamics of lexical–semantic processing using a semantic priming paradigm with a delayed letter-search task while recording subjects’ EEG. Time–frequency analysis revealed facilitation of semantic processing for Related compared to Unrelated conditions, which resulted in a reduced N400 and reduced gamma power from 150 to 450 ms. Moreover, we observed greater anterior–posterior theta coherence for Unrelated compared to Related conditions over the time windows 150–425 ms and 600–900 ms. We suggest that while gamma power reflects activation of local functional networks supporting semantic representations, theta coherence indicates dynamic coupling of anterior and posterior areas for retrieval and post-retrieval processing and possibly an interaction between semantic relatedness and working memory.     

Systems Factorial Technology provides new insights on global-local information processing in autism spectrum disorders

Previous studies of global-local processing in autism spectrum disorders (ASDs) have indicated mixed findings, with some evidence of a local processing bias, or preference for detail-level information, and other results suggesting typical global advantage, or preference for the whole or gestalt. Findings resulting from this paradigm have been used to argue for or against a detail focused processing bias in ASDs, and thus have important theoretical implications. We applied Systems Factorial Technology, and the associated Double Factorial Paradigm (both defined in the text), to examine information processing characteristics during a divided attention global-local task in high-functioning individuals with an ASD and typically developing controls. Group data revealed global advantage for both groups, contrary to some current theories of ASDs. Information processing models applied to each participant revealed that task performance, although showing no differences at the group level, was supported by different cognitive mechanisms in ASD participants compared to controls. All control participants demonstrated inhibitory parallel processing and the majority demonstrated a minimum-time stopping rule. In contrast, ASD participants showed exhaustive parallel processing with mild facilitatory interactions between global and local information. Thus our results indicate fundamental differences in the stopping rules and channel dependencies in individuals with an ASD.