Interpretation of Ambiguous Information in Girls at Risk for Depression

Research has consistently documented that depressed individuals process information in a negatively biased manner. There is little evidence, however, concerning whether these biases represent risk factors for depression, as is hypothesized by cognitive models. In the present study we investigated whether a particular cognitive bias observed in currently depressed individuals, the tendency to interpret ambiguous information negatively, characterizes daughters of depressed mothers, a population known to be at increased risk for depression. Following a negative mood induction, young daughters of depressed and never-disordered mothers completed two information-processing tasks in which their interpretations of emotionally ambiguous stimuli were evaluated. Daughters of depressed mothers interpreted ambiguous words more negatively and less positively, and ambiguous stories more negatively, than did daughters of never-disordered mothers. These results provide support for cognitive vulnerability models of depression.     

Fishing for the right words: decision rules for human foraging behavior in internal search tasks

Animals depleting one patch of resources must decide when to leave and switch to a fresh patch. Foraging theory has predicted various decision mechanisms; which is best depends on environmental variation in patch quality. Previously we tested whether these mechanisms underlie human decision making when foraging for external resources; here we test whether humans behave similarly in a cognitive task seeking internally generated solutions. Subjects searched for meaningful words made from random letter sequences, and as their success rate declined, they could opt to switch to a fresh sequence. As in the external foraging context, time since the previous success and the interval preceding it had a major influence on when subjects switched. Subjects also used the commonness of sequence letters as a proximal cue to patch quality that influenced when to switch. Contrary to optimality predictions, switching decisions were independent of whether sequences differed little or widely in quality.     

Software Tools in Logic Education: Some Examples

Computers are increasingly present in education and make manyresources and activities available to teachers and pupils. Newpedagogical resources development is very interesting for both.Our digital library Summa Logicae is overtly involved in innovationand pedagogical systematization. It includes some software toolsfor teaching logic developed by computer science students, andin this article we present two of these tools. The MAFIA toolis especially attractive for first year students and helps themto understand the basic concepts of logic in an interactiveway using sematic tableaux. It also allows them to solve thecrazy cases in Mafia which their fellow students from previousyears proposed. The Modelos de Kripke tool, oriented to a moreadvanced level, serves for understanding the link between theproperties of the accessibility relation and the modal formulas,which is at the basis of the current developments of modal logic.     

Vicarious learning and the development of fears in childhood

Vicarious learning has long been assumed to be an indirect pathway to fear; however, there is only retrospective evidence that children acquire fears in this way. In two experiments, children (aged 7-9 years) were exposed to pictures of novel animals paired with pictures of either scared, happy or no facial expressions to see the impact on their fear cognitions and avoidance behavior about the animals. In Experiment 1, directly (self-report) and indirectly measured (affective priming) fear attitudes towards the animals changed congruent with the facial expressions with which these were paired. The indirectly measured fear beliefs persisted up to 3 months. Experiment 2 showed that children took significantly longer to approach a box they believed to contain an animal they had previously seen paired with scared faces. These results support theories of fear acquisition that suppose that vicarious learning affects cognitive and behavioral fear emotion, and suggest possibilities for interventions to weaken fear acquired in this way.     

When ambiguity hurts: social standards moderate self-appraisals in generalized social phobia

Thirty-nine individuals with generalized social phobia (social anxiety disorder) and 39 nonclinical controls performed a public speech after receiving cues about social standards. Using a novel video manipulation paradigm, one third of participants received cues indicating that standards for performance were high, one third received cues that standards were low, and the remaining third were given no explicit information about expected standards (i.e., standards were ambiguous). Individuals with social phobia performed objectively worse than controls in all conditions, but rated their performance as being worse only in the high and ambiguous standards conditions. These results suggest that in social phobia, negative self-perception is context-dependent. Implications for the cognitive model and treatment are discussed.     

信息反馈不一致导致习得无助机制的实验研究

研究以90名大学生为被试,探讨认知活动中,信息反馈不一致性和操作成绩评价反馈导致大学生无助现象的机制。结果表明:认知活动中,信息反馈不一致,损害了被试的认知和情绪,对动机的损害没有达到显著性水平;实验中是否给予被试操作成绩评价,对被试的动机、认知和情绪影响不显著。说明在认知活动中,信息反馈不一致,是导致习得无助的关键因素,是否对被试的操作成绩给予评价反馈,不会导致习得无助,验证了习得无助的信息加工理论模型。实验也表明,信息反馈不一致不会形成被试反应性的抑郁。     

Information search patterns for gift purchases: a cross‐national examination of gender differences

This exploratory study examines the underlying determinants as well as the dimensionality of in‐store information searches for a Christmas clothing gift, focusing specifically on the differential effect of gender on information acquisition. A self‐administered survey, containing personality, situational and standard demographic measures, was administered to actual consumers in three Western countries, shortly after the Christmas season. Confirmatory factor analysis verified that in‐store information is indeed a multidimensional construct, composed of three distinct factors: macro information search, micro information search and salesperson help. Consistent with expectations, compared to males, females tended to acquire macro and micro information to a greater extent; males were more apt to seek the assistance of store sales personnel than females. This pattern was generally robust across the three countries. Other observed gender and/or country‐sample differences are discussed. Copyright © 2002 Henry Stewart Publications Ltd.     

Sequential sampling models of human text classification

Text classification involves deciding whether or not a document is about a given topic. It is an important problem in machine learning, because automated text classifiers have enormous potential for application in information retrieval systems. It is also an interesting problem for cognitive science, because it involves real world human decision making with complicated stimuli. This paper develops two models of human text document classification based on random walk and accumulator sequential sampling processes. The models are evaluated using data from an experiment where participants classify text documents presented one word at a time under task instructions that emphasize either speed or accuracy, and rate their confidence in their decisions. Fitting the random walk and accumulator models to these data shows that the accumulator provides a better account of the decisions made, and a “balance of evidence” measure provides the best account of confidence. Both models are also evaluated in the applied information retrieval context, by comparing their performance to established machine learning techniques on the standard Reuters‐21578 corpus. It is found that they are almost as accurate as the benchmarks, and make decisions much more quickly because they only need to examine a small proportion of the words in the document. In addition, the ability of the accumulator model to produce useful confidence measures is shown to have application in prioritizing the results of classification decisions.     

Information search and presentation in advisor–client interactions

When making a decision, people often search for more information supporting than conflicting with their preferred alternative. This can be counterproductive because potential risks and liabilities of the intended decision may be overlooked. However, when confronted with a decision problem, people often turn to advisors for help. We examined what kind of information advisors search for when confronted with a client’s decision problem and what information they present to their clients. Experiment 1 suggested that advisors (participants in the role of travel agents or friends) conducted a more balanced information search than personal decision-makers. However, when presenting information to their client, mock travel agents passed on more information supporting their recommendation than conflicting with it, whereas friends presented information in a balanced way. Experiment 2 replicated the balanced information search of advisors and suggested that this effect was partly mediated by the advisors’ increased accuracy motivation. Practical and theoretical implications are discussed.     

Mental architectures with selectively influenced but stochastically interdependent components

The way external factors influence distribution functions for the overall time required to perform a mental task (such as responding to a stimulus, or solving a problem) may be informative as to the underlying mental architecture, the hypothetical network of interconnected processes some of which are selectively influenced by some of the external factors. Under the assumption that all processes contributing to the overall performance time are stochastically independent, several basic results have been previously established. These results relate patterns of response time distribution functions produced by manipulating external factors to such questions as whether the hypothetical constituent processes in the mental architecture enter AND gates or OR gates, and whether pairs of processes are sequential or concurrent. The present study shows that all these results are also valid for stochastically interdependent component times, provided the selective dependence of these components upon external factors is understood within the framework of a recently proposed theory of selective influence. According to this theory each component is representable as a function of three arguments: the factor set selectively influencing it, a component-specific source of randomness, and a source of randomness shared by all the components.