What a feeling! Touching sexually laden stimuli makes women seek rewards

We argue that women's previously documented unresponsiveness to sexual primes when making economic decisions may be a consequence of the specific types of primes that have been used (i.e., visual primes). In three studies we show that presenting women with tactile sexual cues does influence their decisions about economic rewards. Similar to the effect found in men, the first study demonstrates that touching a pair of boxer shorts leads to a craving for monetary rewards in women. In the second study it is shown that touching a pair of boxers makes women less loss averse for both money and food. The third study explicitly focuses on the relative effectiveness of tactile versus visual sexual cues in altering women's economic decisions, and reveals that women's willingness-to-pay for economic rewards increases only when the sexual cue is tactile. We suggest that touching (vs. seeing) sexually laden stimuli prompts pre-programmed consummatory Pavlovian responses that promote approaching economic rewards.     

Decision-specific reinvestment scale: An exploration of its construct validity,and association with stress and coping appraisals

ObjectiveThis research project aimed to explore the construct validity of the Decision-Specific Reinvestment Scale (DSRS); more specifically, its links with stress and coping appraisals.DesignStudy 1 validated the DSRS and the Movement-Specific Reinvestment Scale (MSRS) to the French language, in order to examine the construct validity of the DSRS using the MSRS, the Preference for Intuition and Deliberation (PID) inventory and the Melbourne Decision-Making Questionnaire (MDMQ). In addition, sex differences in reinvestment were investigated. Study 2 examined stress and coping appraisals of high and low reinvesters.MethodIn study 1, 379 athletes completed the DSRS, MSRS, PID, and MDMQ. In study 2, 100 handball players, classified as low and high reinvesters, completed surveys aimed to assess stressor intensity, stressor perceived controllability, coping effectiveness, subjective performance and coping strategies with the Coping Inventory for Competitive Sport over three games.ResultsIn study 1, we found that intuitive athletes scored lower on the DSRS in comparison to deliberative athletes, whilst no difference was found for the MSRS. Convergent and discriminant validity was illustrated with the subscales of the MDMQ. No sex differences were found regarding reinvestment. In study 2, findings showed that low reinvesters scored higher than high reinvesters in terms of stressor perceived controllability, coping effectiveness and subjective performance.DiscussionIn addition to confirmation of construct validity, these findings strengthen our understanding of how high decision reinvesters perceive a pressured situation. Key applications are derived from our findings informing coaches and athletes in offsetting the negative effects of reinvestment on sport performance.     

A method in modeling interactive pedestrian crossing and driver yielding decisions during their interactions at intersections

Investigating pedestrian crossing and driver yielding decisions should be an important focus considering the high risks of pedestrians in exposed to motorized traffic. Limitations, however, exist in previous studies – variables considered previously have been limited; how their behavior affect each other (defined as interactive impacts) were not sufficiently considered. This paper aims to provide a methodological approach for pedestrian crossing and driver yielding decisions during their interactions, considering of different variable types including interactive impact variables, traffic condition variables, road design variables, and environment variables. A Distance-Velocity (DV) framework proposed in an earlier study is introduced for definitions and concepts in studying pedestrian-vehicle interactions. Logistic regression, support vector machines, neural networks and random forests, are introduced as candidate models. A case study involving six crosswalk locations is conducted, focusing on interactions between pedestrians and right-turn vehicles. The proposed methodological approach is applied, with the performance of the four machine learning methods compared in terms of model generalization and confusion matrix. The model with the best performance is further compared to the typical gap-based model. Results show that random forest and logistic regression models performed the best in modeling pedestrian crossing and driver yielding decisions respective, in terms of model generalization. Besides, the DV-based modeling method (average accuracy of over 90% for pedestrians and 80% for drivers) outperformed the traditional gap-based method in all test seeds. As a key finding, interactive impacts from each other (the pedestrian and the driver) act as a key contributing variable on their decisions.     

Automatic question generation and answer assessment for subjective examination

Automatic generation of questions and evaluating their answers is a highly challenging task in natural language processing and educational technology. This work focuses on generating subjective questions and also an evaluation system is suggested for assessing the answers. For generating the questionnaires, key-phrases are extracted from the course curriculum (syllabus). Next, based on the key-phrases, different types of subjective questions are generated. Finally, the evaluation of student’s responses is achieved using a multi-criteria-decision-making approach. It uses a set of model answers taken from different textbooks and subject experts to evaluate the answers. Multiple measures are used to assess the answers by comparing them with this model set. The results of the profound system reveal that the automated appraisal process can reduce the manual effort of the human.     

计算机化分类测验终止规则的类别、特点及应用

计算机化分类测验(Computerized Classification Testing, CCT)能够高效地对被试进行分类, 已广泛应用于合格性测验及临床心理学中。作为CCT的重要组成部分, 终止规则决定测验何时停止以及将被试最终划分到何种类别, 因此直接影响测验效率及分类准确率。已有的三大类终止规则(似然比规则、贝叶斯决策理论规则及置信区间规则)的核心思想分别为构造假设检验、设计损失函数和比较置信区间相对位置。同时, 在不同测验情境下, CCT的终止规则发展出不同的具体形式。未来研究可以继续开发贝叶斯规则、考虑多维多类别情境以及结合作答时间和机器学习算法。针对测验实际需求, 三类终止规则在合格性测验上均有应用潜力, 而临床问卷则倾向应用贝叶斯规则。     

The Secrecy Heuristic: Inferring Quality from Secrecy in Foreign Policy Contexts

Three experiments demonstrate that in the context of U.S. foreign policy decision making, people infer informational quality from secrecy. In Experiment 1, people weighed secret information more heavily than public information when making recommendations about foreign political candidates. In Experiment 2, people judged information presented in documents ostensibly produced by the Department of State and the National Security Council as being of relatively higher quality when those documents were secret rather than public. Finally, in Experiment 3, people judged a National Security Council document as being of higher quality when presented as a secret document rather than a public document and evaluated others' decisions more favorably when those decisions were based on secret information. Discussion centers on the mediators, moderators, and broader implications of this secrecy heuristic in foreign policy contexts.     

Who’s bringing the donuts: The role of affective patterns in group decision making

Two studies examined how intragroup affective patterns influence groups’ pervasive tendency to ignore the unique expertise of their members. Using a hidden profile task, Study 1 provided evidence that groups with at least one member experiencing positive affect shared more unique information than groups composed entirely of members experiencing neutral affect. This occurred because group members experiencing positive affect were more likely to initiate unique information sharing, as well as information seeking. Study 2 built upon this base by showing that confidence mediates the relationship between positive affect and the initiation of unique information sharing. Additionally, Study 2 investigated the role of negative affect in group decision making and how negative and positive affect concurrently influence decision making when groups are composed of members experiencing each. The results are discussed in terms of the role affect plays in influencing group behavior and the resultant importance of investigating specific affective patterns.     

The vision heuristic: Judging music ensembles by sight alone

Team effectiveness and group performance are often defined by standards set by domain experts. Professional musicians consistently report that sound output is the most important standard for evaluating the quality of group performance in the domain of music. However, across six studies, visual information dominated rapid judgments of group performance. Participants (1062 experts and novices) were able to select the actual winners of live ensemble competitions and distinguish top-ranked orchestras from non-ranked orchestras based on 6-s silent video recordings yet were unable to do so from sound recordings or recordings with both video and sound. These findings suggest that judgments of group performance in the domain of music are driven at least in part by visual cues about group dynamics and leadership.     

SAwSu: An Integrated Model of Associative and Reinforcement Learning

Successfully explaining and replicating the complexity and generality of human and animal learning will require the integration of a variety of learning mechanisms. Here, we introduce a computational model which integrates associative learning (AL) and reinforcement learning (RL). We contrast the integrated model with standalone AL and RL models in three simulation studies. First, a synthetic grid‐navigation task is employed to highlight performance advantages for the integrated model in an environment where the reward structure is both diverse and dynamic. The second and third simulations contrast the performances of the three models in behavioral experiments, demonstrating advantages for the integrated model in accounting for behavioral data.     

Choice‐making,Expectations, and Treatment Positivity: How and When Choosing Shapes Aversive Experiences

Every day we use products and treatments with unknown but expected effects, such as using medication to manage pain. In many cases, we have a choice over which products or treatments to use; however, in other cases, people choose for us or choices are unavailable. Does choosing (versus not choosing) have implications for how a product or treatment is experienced? The current experiments examined the role of choice‐making in facilitating so‐called expectation assimilation effects—or situations in which a person's experiences (e.g., discomfort and pain) are evaluated in a manner consistent with their expectations. In Experiment 1, participants were initially exposed to a baseline set of aversive stimuli (i.e., sounds). Next, some participants were given expectations for two “treatments” (i.e., changes in screen display) that could ostensibly reduce discomfort. Critically, participants were either given a choice or not about which of the two treatments they preferred. Participants in a control condition were not provided with treatment expectations. Results revealed that discomfort experiences assimilated to expectations only when participants were provided with choice. Experiment 2 replicated this finding and provided evidence against the idea that demand characteristics and choice‐making unrelated to the core task (i.e., choices without associated expectations) could account for the results. Further, Experiment 2 showed that choosing reduced discomfort because of increased positivity about the treatment. Results are discussed in the context of extant research on choice‐making and expectation effects. Copyright © 2013 John Wiley & Sons, Ltd.