Candidates' Ability to Identify Criteria in Nontransparent Selection Procedures: Evidence from an assessment center and a structured interview

In selection procedures like assessment centers (ACs) and structured interviews, candidates are often not informed about the targeted criteria. Previous studies have shown that candidates' ability to identify these criteria (ATIC) is related to their performance in the respective selection procedure. However, past research has studied ATIC in only one selection procedure at a time, even though it has been assumed that ATIC is consistent across situations, which is a prerequisite for ATIC to contribute to selection procedures' criterion‐related validity. In this study, 95 candidates participated in an AC and a structured interview. ATIC scores showed cross‐situational consistency across the two procedures and accounted for part of the relationship between performance in the selection procedures. Furthermore, ATIC scores in one procedure predicted performance in the other procedure even after controlling for cognitive ability. Implications and directions for future research are discussed.     

Controlled & automatic processing: behavior,theory, and biological mechanisms

This paper provides an overview of developments in a dual processing theory of automatic and controlled processing that began with the empirical and theoretical work described by Schneider and Shiffrin (1977) and Shiffrin and Schneider (1977) over a quarter century ago. A review of relevant empirical findings suggests that there is a set of core behavioral phenomena reflecting differences between controlled and automatic processing that must be addressed by a successful theory. These phenomena relate to: consistency in training, serial versus parallel processing, level of effort, robustness to stressors, degree of control, effects on long‐term memory, and priority encoding. We detail a computational model of controlled processing, CAP2, that accounts for these phenomena as emergent properties of an underlying hybrid computational architecture. The model employs a large network of distributed data modules that can categorize, buffer, associate, and prioritize information. Each module is a connectionist network with input and output layers, and each module communicates with a central Control System by outputting priority and activity report signals, and by receiving control signals. The Control System is composed of five processors including a Goal Processor, an Attention Controller, an Activity Monitor, an Episodic Store, and a Gating & Report Relay. The transition from controlled to automatic processing occurs in this model as the data modules become capable of transmitting their output without mediation by the Control System. We describe recent progress in mapping the components of this model onto specific neuroanatomical substrates, briefly discuss the potential for applying functional neuroimaging techniques to test the model's predictions, and its relation to other models.     

Why property dualists must reject substance physicalism

I argue that property dualists cannot hold that minds are physical substances. The focus of my discussion is a property dualism that takes qualia to be sui generis features of reality.     

Emotion and information search in tactical decision-making: Moderator effects of feedback

Information search during decision-making may be influenced both by selective attention and by the criterion used for ceasing to search. When the items searched are themselves emotive, the affective state of the decision-maker may bias these search processes. If an automatic selective attention bias operates, it may produce mood-congruent effects irrespective of context; e.g., negative affect may focus attention on negative items of information. An alternative possibility, suggested by the mood-as-input model, is that the influence of affect on search may depend on how decision-makers understand their emotions within a given context. The present study tested predictions derived from relevant theories of affective bias, using feedback as a means to generate a context of success or failure. Hundred and sixty participants were required to access positive and negative items of information in choosing between different routes for a search-and-rescue mission. Outcomes of choices were manipulated experimentally, so that in one condition participants received mostly positive feedback, and in a second condition participants received mostly negative feedback. Results showed that the feedback manipulation influenced affect, but there was considerable variation in affective state within each condition. Associations between affect and information search were moderated by feedback condition. For example, positive affect was associated with more frequent sampling of positive information in the negative feedback condition, but the association reversed when feedback was positive. Findings were consistent with the mood-as-input hypothesis, but not with an automatic selective attention bias. Context may influence how the decision-maker interprets their affective state.     

Judging body weight from faces: the height-weight illusion

Being able to exploit features of the human face to predict health and fitness can serve as an evolutionary advantage. Surface features such as facial symmetry, averageness, and skin colour are known to influence attractiveness. We sought to determine whether observers are able to extract more complex features, namely body weight. If possible, it could be used as a predictor for health and fitness. For instance, facial adiposity could be taken to indicate a cardiovascular challenge or proneness to infections. Observers seem to be able to glean body weight information from frontal views of a face. Is weight estimation robust across different viewing angles? We showed that participants strongly overestimated body weight for faces photographed from a lower vantage point while underestimating it for faces photographed from a higher vantage point. The perspective distortions of simple facial measures (e.g., width-to-height ratio) that accompany changes in vantage point do not suffice to predict body weight. Instead, more complex patterns must be involved in the height-weight illusion.