Speed versus accuracy instructions in the response time concealed information test

The response time concealed information test (RT-CIT) can reveal that a person recognizes a relevant item (probe) among other, irrelevant items, based on slower responding to the probe compared to the irrelevant items. Thereby, if this person is concealing knowledge about the relevance of this item (e.g., recognizing it as a murder weapon), this deception can be unveiled. In the present paper, we examined the impact of a speed versus accuracy instruction: Examinees (N = 235) were either presented with instructions emphasizing a focus on speed, with instructions emphasizing a focus on accuracy, or with no particular speed or accuracy instructions at all. We found that although participants responded to the probe and the irrelevants marginally faster when they had received instructions emphasizing speed, there was no significant difference between RTs of the different experimental groups and crucially no significant difference between the probe–irrelevant RT differences either. This means that such instructions are unlikely to benefit the RT-CIT, but it also suggests that related deliberate manipulation (focusing on speed on or accuracy) is unlikely to decrease the efficiency of the RT-CIT—contributing further evidence to the RT-CIT’s resistance to faking.

The Intention to Conceal Does Not Always Affect Time Perception

The display duration of stimuli is overestimated due to the increase in phasic arousal induced by the stimuli or high levels of background arousal. A previous study demonstrated that display duration of items (2 s) was overestimated when a participant attempted to conceal one of the items so as not to be detected in the concealed information test (CIT). As the time perception remained the same between the item to be concealed and the other items, the overestimation was thought to be due to the high level of background arousal under the conceal condition. Duration of 2 s may be too long to examine the phasic arousal effect induced by the concealed item. The present study conducted three online experiments with shorter durations, that is, each of three items was presented with duration of 1, 0.5, and 2 s in Experiments 1, 2, and 3, respectively. The participants were instructed to conceal one of the three items under the conceal condition and did not conceal any item in the innocent condition. The difference in time perception between the conceal and innocent conditions or between items under the conceal condition was observed in none of the three experiments. The result indicates that temporal overestimation does not occur when a participant is only concealing an object. Rather, temporal overestimation would occur only when the level of background arousal is amplified by the concealment.

Hide and seek – the role of personality, sense of coherence and experiential information in hidden information needs

PurposeThe aim of this study is to assess the impact of personality traits and sense of coherence (SOC) on concealing information needs out of shame. The study also investigates the link between concealed information needs and the use of experiential information for psychological wellbeing.Design/methodology/approachA Partial Least Square ‐ Structural Equation Modelling (PLS-SEM) approach is used to assess and analyse the proposed conceptual model, which is based on the responses of 412 upper secondary school students.FindingsThe findings reveal that personality traits not only have direct significant effects on concealing information needs but that their effects are also mediated by SOC. The positive relationship between concealed information needs and the use of experiential information is confirmed in the study.Originality/valueThis study is the first to show that personality and SOC influence concealing information needs. Two pathways are found. Firstly, negative emotionality and a low SOC lead to a heightened sense of shame. Secondly, introversion induces a more guarded behaviour. The study, moreover, quantitatively demonstrates a link between concealed information needs and the use of experiential information for psychological wellbeing.

DEVELOPING AN INTEGRATED MODEL BASED ON NAÏVEBAYES AND DECISION TREE ALGORITHMS IN THE EARLY DETECTION AND DIAGNOSIS OF CARDIAC DISEASES

The extraction of concealed information from the enormous data sets is information mining, and it is otherwise called Knowledge Discovery Mining. It has many assignments. One of them utilized here is prescient errands that use a few factors to foresee obscure or future upsides of another dataset. The significant medical issue that influences countless individuals is a coronary illness. Except if it is treated at a beginning phase, it causes demise. Today, the Healthcare business creates an enormous measure of perplexing information about the patients and assets of the emergency clinics, from a period where there has been no good spotlight on compelling examination instruments to find connections in communication, particularly in the clinical area. The methods of mining information are utilized to examine rich assortments of details according to alternate points of view and infer useful data to foster analysis and anticipating frameworks for coronary illness dependent on prescient mining. Various preliminaries are taken up to look at the exhibitions of different information mining procedures, including Decision trees and Naïve Bayes calculations. As proposed, the peril factors are pondered, Decision trees and Naïve Bayes are applied, and the show of their finding have been investigated by the UCI Machine Learning Repository I,e WEKA instrument. Thusly, the Naïve Bayes beats the Decision tree.

Prolonged Response Time Concealed Information Test Decreases Probe-Control Differences but Increases Classification Accuracy

The Response Time Concealed Information Test (RT-CIT) can reveal that a person recognizes a relevant item (probe, e.g. a murder weapon) among other, irrelevant items (controls), based on slower responses to the probe compared to the controls. The present paper assesses the influence of test length (due to practice, habituation, or fatigue) on two key variables in the RT-CIT: (a) probe-control differences and (b) classification accuracy, through a meta-analysis (using 12 previous experiments), as well as with two new experiments. It is consistently demonstrated that increased test length decreases probe-control differences but increases classification accuracies. The main implication for real-life application is that using altogether at least around 600 trials is optimal for the RT-CIT.

Concealing Untrustworthiness: The Role of Conflict Monitoring in a Social Deception Task

Deception studies emphasize the important role of event-related potentials (ERPs) to uncover deceptive behavior based on underlying neuro-cognitive processes. The role of conflict monitoring as indicated by the frontal N2 component during truthful and deceptive responses was investigated in an adapted Concealed Information Test (CIT). Previously memorized pictures of faces should either be indicated as truthfully trustworthy, truthfully untrustworthy or trustworthy while concealing the actual untrustworthiness (untrustworthy-probe). Mean, baseline-to-peak and peak-to-peak amplitudes were calculated to examine the robustness of ERP findings across varying quantification techniques. Data of 30 participants (15 female; age: M = 23.73 years, SD = 4.09) revealed longer response times and lower correct rates for deceptive compared to truthful trustworthy responses. The frontal N2 amplitude was more negative for untrustworthy-probe and truthful untrustworthy compared to truthful trustworthy stimuli when measured as mean or baseline-to-peak amplitude. Results suggest that deception evokes conflict monitoring and ERP quantifications are differentially sensitive to a-priori hypotheses.

Detection of Significant Risk Factors of Heart Diseases by Educing Multimodal Features and Implementing Machine Learning Techniques

One of the major reasons for deaths worldwide is heart diseases and possible detection at an earlier stage will prevent these attacks. Medical practitioners generate data with a wealth of concealed information present, and it’s not used effectively for predictions. For this reason, the research will convert the unused data into a dataset for shaping using different data mining techniques. People die having encountered symptoms that were not taken into considerations. The main objective of this paper is to analyze the most significant risk factors of Heart Diseases of patients by extracting multimodal features and predicting the occurrence of heart diseases using different classification techniques comparatively. This study will help improve the decision-making of medical professionals on the occurrence of heart diseases patients in a bid to enhance early detection by implementing comparatively several machine learning techniques resulting in an improved prediction accuracy using patient records (Multimodal Features).