The masked onset priming effect in picture naming

Reading aloud is faster when targets (e.g., PAIR) are preceded by visually masked primes sharing just the onset (e.g., pole) compared to all different primes (e.g., take). This effect is known as the masked onset priming effect (MOPE). One crucial feature of this effect is its presumed non-lexical basis. This aspect of the MOPE is tested in the current study. Dutch participants named pictures having bisyllabic names, which were preceded by visually masked primes. Picture naming was facilitated by first-segment but not last-segment primes, and by first-syllable as well as last-syllable primes. Whole-word primes with first or last segment overlap slowed down picture naming latencies significantly. The first-segment priming effect (i.e., MOPE) cannot be accounted for by non-lexical response competition since pictures cannot be named via the non-lexical route. Instead, the effects obtained in this study can be accommodated by a speech-planning account of the MOPE.     

AMPLE智力模型——PASS智力模型的扩展

本文根据实验事实,对PASS智力模型进行扩展,并提出一个简称AMPLE的智力模型。这个模型基于脑的四个功能系统学说,包括注意（attention）、操纵（manipulation）、计划（planning）、学习（learning）和评估（evaluation）等过程。它是一个囊括觉、知、情、意诸成分在内的全面的智力模型。     

Modeling and prediction of driver preparations for making a right turn based on vehicle velocity and traffic conditions while approaching an intersection

This paper focuses on modeling and predicting the influence of a vehicle’s velocity and the relative position between a driver’s vehicle and a vehicle to the front or rear on the onset of driver preparations for making a right turn at an intersection. Repeated experiments were carried out on a public road to measure driver preparations, including releasing the accelerator pedal, moving the right foot to cover the brake pedal, and activating the turn signal, as well as to record vehicle velocity and the relative distances to the leading and following vehicles. Structural equation modeling was applied to estimate these relationships quantitatively. Two separate latent variables accounting for the interaction between the driver’s vehicle and leading or following vehicles, and the onset point where driving behavior changes from straight mode to preparation mode before a right turn, were introduced in the specification of the structural equation model. The model estimates and testing indicate that the proposed structural equation model represents well the relationship hypothesized by observational analysis: that the vehicle velocity and the traffic conditions surrounding the driver’s vehicle strongly influence the driver’s deceleration and more weakly influenced turn signal activation. The proposed structural equation model contributes to the prediction of the onset locations of covering the brake pedal and activating the turn signal based on the vehicle velocity and the relative distances to the front and rear vehicles when the accelerator pedal is released. The prediction accuracy is high compared with predictions in which the vehicle velocity and the headway or rear distances are not taken into account or predictions using a single regression model with one independent variable, namely driving speed. Finally, a possible new addition to in-vehicle navigation systems that detects unusual driver behavior by predicting the driver’s preparatory maneuvers is discussed.     

A model for explanation of personal attitudes toward traffic of candidate drivers attending drivers’ courses: Risky candidate driver’s attitude model

There exist a good many scientific studies into risk-taking and risky behavior displayed by reckless drivers; however, there are only a few studies into attitudes towards the traffic displayed by candidate drivers. The present study aims to investigate the dimensionality of candidate attitudes’ drivers. Data were collected from questionnaire completed by 258 candidate drivers, and were divided into two sets. The first data was used to explore the underlying factor structure and five latent factors were derived; Factor A Attitude towards drinking and driving; Factor P positive attitude toward traffic; Factor S speeding; Factor T traffic flow vs. rule obedience; and Factor R risky candidate driver’s attitude. The second data set was used to confirm this factorial structure using confirmatory factor analysis. The fit indices showed that the model fitted the data well.     

Temptation and Deliberation

There is a great deal of plausibility to the standard view that if one is rational and it is clear at the time of action that a certain move, say M₁, would serve one’s concerns better than any other available move, then one will, as a rational agent, opt for move M₁. Still, this view concerning rationality has been challenged at least in part because it seems to conflict with our considered judgments about what it is rational to do in cases of temptation that share the structure of Warren Quinn’s self-torturer case. I argue that there is a way to accomodate our considered judgments about the relevant cases of temptation without giving up the standard view or dismissing, as in some way rationally defective, the concerns of the agents in the relevant cases. My reasoning relies on the idea that, at least in some cases, whether an action serves one’s concerns well depends on what action(s) or course(s) of action it is part of. In the final section of the paper, I explain how this idea sheds light on an important source of frustration in collective decision-making.     

Supporting the formal verification of mathematical texts

The formal verification of mathematical texts is one of the most interesting applications for computer systems. In fact, we argue that the expert language of mathematics is the natural choice for achieving efficient mathematician–machine interaction. Our empirical approach, the analysis of carefully authored textbook proofs, forces us to focus on the language and the reasoning pattern that mathematician use when presenting proofs to colleagues and students. Enabling a machine to understand and follow such language and argumentation is seen to be the key to usable and acceptable math assistant systems. In this paper, we first perform an analysis of three textbook proofs by hand; we then describe a computational framework that aims at mechanising such an analysis. The resulting proof-of-concept implementation is capable of processing simple textbook proofs and constitutes promising steps towards a natural mathematician–machine interface for proof development and verification.     

Influences of grasp selection in typically developing children

When reaching towards an object, adults favour grasps which, following the intended action, end in a comfortable position even when this requires them to start in an uncomfortable position (the end-state-comfort effect). However, this strategy is not consistently used by children who instead seem to favour a minimal pre-contact rotation of the hand, even when this results in an uncomfortable end position. In terms of multiple movements, the strategies used for grip selection are unclear; adults may still grasp for end-state-comfort given their propensity to plan to the end of a movement; however, children who are less able to concatenate movement may tend to start-state-comfort movements. The current study considered grip selection in children ranging from 4 to 12 years and in a group of adults. Participants were asked to rotate a disc so that an arrow pointed towards a specific target(s), the number of sequences in a movement was increased from one to three. Planning for end-state-comfort was seen in all participants and a clear developmental trajectory was identified whereby the relative comfort of an end position could be directly predicted by age in months. Adults and 10–12-year-olds favoured an end-state-comfort strategy whereas the younger children gave equal weighting to end-state-comfort, start-state-comfort and no initial rotation strategies. All groups were able to end a movement comfortably when it was composed of three steps; however, the proportion of movements relying on an end-state-comfort strategy decreased as sequence length increase whereas the proportion of start-state-comfort and no initial rotation strategies increased. The current data support the concept that a mechanism for planning grasps may be based on motor experience.     

How formulating implementation plans and remembering past actions facilitate the enactment of effortful decisions

Building on prior research studying effortful decision making and enactment processes (Bagozzi, Dholakia, & Basuroy, 2003; BDB), we identify and provide an in‐depth understanding of two specific self‐regulatory strategies: (1) formulating an implementation plan, and (2) remembering past actions, that decision makers can use in facilitating enactment of effortful decisions. The results of three experiments, in which the decision maker's goal and self‐regulatory strategy were manipulated, showed that for goals that decision makers chose volitionally, the motivational effects of both these strategies lay in increasing levels of proximal implementation‐related variables (implementation intentions, plan completeness, plan enactment, and goal realization) significantly. In contrast, for goals that were assigned to participants, these strategies' motivational effects additionally extended to significantly increasing distal goal‐related variables (goal desire, goal intentions, perceived self‐efficacy, and implementation desires). The theoretical implications of our findings are discussed, and future research opportunities are explored. Copyright © 2007 John Wiley & Sons, Ltd.     

Continuity in adolescent career preparation and its effects on adjustment

Career preparation represents a major developmental task of adolescence, which has not received sufficient attention in empirical research on career development. Thus, this study was designed to examine the structure, continuity, and change in adolescent career preparation and its relationships with adjustment. The data were collected from a diverse sample of 389 adolescents on four occasions beginning in Grade 11 in high school and ending 6 months after high school graduation. Using Structural Equations modeling, a four-wave, developmental model of adolescent career preparation indicated by career decidedness, planning, and confidence was shown to fit the empirical data very well. Career preparation was characterized by continuity and a consistent pattern of positive concurrent and prospective associations with various indicators of adjustment. The results of the study provide empirical support for the theoretical propositions about the adaptive role of adolescent career preparation, particularly in terms of its contribution to psychological well-being and social integration.