Is it dangerous? The role of an emotional visual search strategy and threat-relevant training in the detection of guns and knives

Counter-terrorism strategies rely on the assumption that it is possible to increase threat detection by providing explicit verbal instructions to orient people's attention to dangerous objects and hostile behaviours in their environment. Nevertheless, whether verbal cues can be used to enhance threat detection performance under laboratory conditions is currently unclear. In Experiment 1, student participants were required to detect a picture of a dangerous or neutral object embedded within a visual search display on the basis of an emotional strategy ‘is it dangerous?’ or a semantic strategy ‘is it an object?’. The results showed a threat superiority effect that was enhanced by the emotional visual search strategy. In Experiment 2, whilst trainee police officers displayed a greater threat superiority effect than student controls, both groups benefitted from performing the task under the emotional than semantic visual search strategy. Manipulating situational threat levels (high vs. low) in the experimental instructions had no effect on visual search performance. The current findings provide new support for the language-as-context hypothesis. They are also consistent with a dual-processing account of threat detection involving a verbally mediated route in working memory and the deployment of a visual template developed as a function of training.     

Individual differences in logical intuitions on reasoning problems presented under two-response paradigm

ABSTRACT

Studies on individual differences in susceptibility to cognitive biases have identified several cognitive dispositions which were thought to predict reasoning by contributing to the efficiency of analytic thought. However, hybrid models suggest that differences between reasoners may arise already in the intuitive stages of the reasoning process. To address this possibility, we examined standard individual difference measures, mindware instantiation, and conflict detection efficiency as predictors of the accuracy on conflict problems presented under a two-response paradigm. We found that almost half of conflict reasoning problems were solved correctly already at the initial response stage and that the individual differences in initial reasoning performance were predicted by participants’ cognitive reflection, mindware instantiation, and detection efficiency. The findings advance the specification of hybrid dual-process models and provide corroborating evidence that a part of the link between bias susceptibility and cognitive dispositions is due to differences in intuitive processing.     

驾驶员在交通场景中的变化视盲及其启示

变化视盲(change blindness)现象,也称变化盲,是指视觉情景中人们不能觉察到某个事物变化的现象。研究以驾驶员为主体探讨了道路交通领域中的变化视盲现象。首先,从场景变化特征和驾驶员特征两个方面综述了影响驾驶员变化视盲的影响因素;其次,结合影响因素与变化视盲的特征理论建立了驾驶员变化检测的认知过程模型;最后,在模型的基础上,讨论了提高驾驶员变化检测能力的实际意义和潜在措施,并对未来有关交通安全变化视盲的研究予以展望。     

Response-time evidence for mixed memory states in a sequential-presentation change-detection task

Response-time (RT) and choice-probability data were obtained in a rapid visual sequential-presentation change-detection task in which memory set size, study-test lag, and objective change probabilities were manipulated. False “change” judgments increased dramatically with increasing lag, consistent with the idea that study items with long lags were ejected from a discrete-slots buffer. Error RTs were nearly invariant with set size and lag, consistent with the idea that the errors were produced by a stimulus-independent guessing process. The patterns of error and RT data could not be explained in terms of encoding limitations, but were consistent with the hypothesis that long retention lags produced a zero-stimulus-information state that required guessing. Formal modeling of the change-detection RT and error data pointed toward a hybrid model of visual working memory. The hybrid model assumed mixed states involving a combination of memory and guessing, but with higher memory resolution for items with shorter retention lags. The work raises new questions concerning the nature of the memory representations that are produced across the closely related tasks of change detection and visual memory search.     

The Marlowe–Crowne Social Desirability Scale outperforms the BIDR Impression Management Scale for identifying fakers

Self-report personality tests are used widely, but it is not uncommon for an individual’s scale score to be invalid due to Socially Desirable Responding (SDR): answering to be viewed favourably. Various indices exist to detect SDR (e.g., faking). The Marlowe–Crowne Social Desirability Scale (MCSDS) formerly was the most popular. The current gold standard is the Balanced Inventory of Desirable Responding (BIDR), considered more sensitive because its development incorporated newer theoretical and empirical understanding of SDR and more sophisticated multivariate techniques. We compare the efficacy of these measures with surprising results: the MCSDS consistently outperforms the BIDR in identifying fakers. This finding indicates that the MCSDS should be retained because it captures elements of faking more effectively than the modern scale.     

LARES: An AI-based teleassistance system for emergency home monitoring

The latest progresses in medicine are helping people live longer and better. An ageing population is a sign of a developed society with an advanced health care system. Improved life expectancy should be welcomed as a major achievement, but it should not cause a financial or social burden. In this scenario, it is critical to support older and handicap adults to continue living independently and retaining their current lifestyle. New technological advances in Wireless Sensors Networks (WSN) and Artificial Intelligence (AI) can facilitate this task.In this direction we present lares, an AI-based system that integrates a (i) WSN for receiving information of the environment and the dependent person, (ii) an autonomous robot able to take decisions based on the received information, and (iii) a Web-based system to provide telecare assistance. lares has been tried in two dependent elderly home environments during several weeks, and the experiments show that is able to detect anomalies and generate alarms in abnormal situations.