The effect of expectation on the identification of known and unknown persons

In this experiment we investigated the influence of expectation, exposure time and jacket hood positioning on person identification. Thirty subjects, all employees of the TNO Institute for Perception, participated in the experiment. They were presented with slides showing known and unknown persons who were photographed under bad lighting conditions. Limited viewing conditions considerably deteriorated subjects' performance and under these circumstances all experimental manipulations significantly affected identification accuracy. Contrary to what was expected longer exposure times impaired performance. The results are discussed in light of recent research on face recognition (Bruce and Young, 1986; Read, Vokey, and Hammersley, 1990).     

Information–Movement Coupling in The Control of Driver Approach to an Intersection

We characterized the control mechanisms underlying crossing an intersection with vehicular traffic. Specifically, we identified potential markers of the coupling between information and movement through a kinematic analysis of the approach. We exposed participants in a driving simulator experiment to several scenarios. We manipulated task constraints by varying the acceleration capabilities of the vehicle and the time available to make speed adjustments. The results highlighted gradual, systematic adjustments, which make it possible to cross the intersection in a zone that is close to the center of the intervehicular gap. The functional nature of these adjustments was highlighted by concomitant and opposite variation in the variability of current speed and current deviation. In all cases, an increase in the standard deviation of speed was accompanied by a reduction in the standard deviation of current deviation. Neither time to make adjustments nor acceleration capabilities modified the observed kinematic patterns, but they did modulate the adjustments that were produced. Overall, these results were consistent with a control mechanism based on the implementation of an information–movement cycle.     

A psychological study of unconnected conditionals

Unconnected conditionals, also called irrelevant conditionals, are sentences of form if A, C, whose antecedent and consequent bear no connection. According to the main theories of conditional reasoning, the truth or high probability of an antecedent and a consequent is sufficient to make true or highly probable the corresponding conditional. We tested this assumption and showed that it does not hold for unconnected conditionals. Furthermore, we investigated experimentally the factors which favour the endorsement of irrelevant conditional constructions and found that this rate increases when an analogy can be built between the antecedent and the consequent or when the conditional is asserted before its components.     

Casting weight goal as a function of weight status among a representative population-based sample of adolescents

This paper pursues two objectives: (1) to estimate proportions of adolescents with a weight goal that matched and mismatched weight status, and (2) to identify correlates of a mismatched weight goal. Data were from a representative population-based sample of adolescents (n = 2346, 51% female; 91.5% complete data). Results showed that 69% of adolescents had a weight goal that matched weight status whereas 31% had a weight goal that mismatched weight status. Body dissatisfaction was a significant predictor of having a mismatched weight goal for both sexes while elevated psychological distress was a predictor among girls. Being body dissatisfied mediated the association between psychological distress and having a mismatched weight goal among girls. Casting weight goal as a function of weight status may allow for a better understanding of overall weight management strategies.     

A procedure for the incremental construction of a knowledge space

Knowledge spaces are structures for the efficient assessment of the knowledge state of a student in a given field of knowledge. Existing procedures for constructing a knowledge space by querying an expert assume that the domain of questions is known in advance, and that it is fixed during the whole query process. The outcome of these procedures is a knowledge space on the questions in that domain. If the original domain is extended with new questions, a new knowledge space on the extended domain can be produced by expert query. Since in this case a knowledge space for the original domain already exists, the available information can be used to extend the existing space in an efficient way, thus avoiding to apply expert query from scratch. Existing procedures do not provide an explicit way to use such information. Although these procedures can be adapted to this purpose, in this paper a new query algorithm that is specifically tailored for the problem above mentioned is presented.     

Neurobiological studies of risk assessment: A comparison of expected utility and mean-variance approaches

When modeling valuation under uncertainty, economists generally prefer expected utility because it has an axiomatic foundation, meaning that the resulting choices will satisfy a number of rationality requirements. In expected utility theory, values are computed by multiplying probabilities of each possible state of nature by the payoff in that state and summing the results. The drawback of this approach is that all state probabilities need to be dealt with separately, which becomes extremely cumbersome when it comes to learning. Finance academics and professionals, however, prefer to value risky prospects in terms of a trade-off between expected reward and risk, where the latter is usually measured in terms of reward variance. This mean-variance approach is fast and simple and greatly facilitates learning, but it impedes assigning values to new gambles on the basis of those of known ones. To date, it is unclear whether the human brain computes values in accordance with expected utility theory or with mean-variance analysis. In this article, we discuss the theoretical and empirical arguments that favor one or the other theory. We also propose a new experimental paradigm that could determine whether the human brain follows the expected utility or the mean-variance approach. Behavioral results of implementation of the paradigm are discussed.     

Plagiarism: Words and Ideas

Plagiarism is a crime against academy. It deceives readers, hurts plagiarized authors, and gets the plagiarist undeserved benefits. However, even though these arguments do show that copying other people's intellectual contribution is wrong, they do not apply to the copying of words. Copying a few sentences that contain no original idea (e.g. in the introduction) is of marginal importance compared to stealing the ideas of others. The two must be clearly distinguished, and the 'plagiarism' label should not be used for deeds which are very different in nature and importance.     

On Enrolling More Female Students in Science and Engineering

Many people hold this truth to be self-evident that universities should enroll more female students in science and engineering; the main question then being how. Typical arguments include possible benefits to women, possible benefits to the economy, and the unfairness of the current female under-representation. However, when clearly stated and scrutinized these arguments in fact lead to the conclusion that there should be more women in scientific disciplines in higher education in the sense that we should expect more women (which various kinds of discrimination may prevent), not that we should actively enroll more women. Outreach programs towards high school students may therefore be logically incompatible with the arguments supposed to justify them. They should purport to allow women to graduate in a field congruent with her abilities and desires, rather than try to draw as many of them to scientific disciplines as possible: one cannot try to 'recruit' as many female students as possible while claiming to help them choose more freely.