Do young children get the message? The effects of repeated video viewing on explicit and implicit information

The aim of this study was to explore the effects of repeat viewing on comprehension of explicitly and implicitly presented information in an animated movie. Seventy-three pre-school children watched an animated film and were tested for comprehension after either their single or fifth viewing. Only children’s comprehension of explicitly presented information was facilitated by repeat viewing. However, post hoc analyses revealed that children’s explicit and implicit comprehension of a central character Thunderbolt significantly increased across viewing conditions, whereas, repeat viewing only facilitated children’s explicit comprehension of the central character Patch. The theoretical and practical implications of these findings are discussed.

Email categorization using (2+1)-tier classification algorithms

In this paper we have proposed a spam filtering technique using (2+1)-tier classification approach. The main focus of this paper is to reduce the false positive (FP) rate which is considered as an important research issue in spam filtering. In our approach, firstly the email message will classify using first two tier classifiers and the outputs will appear to the analyzer. The analyzer will check the labeling of the output emails and send to the corresponding mailboxes based on labeling, for the case of identical prediction. If there are any misclassifications occurred by first two tier classifiers then tier-3 classifier will invoked by the analyzer and the tier-3 will take final decision. This technique reduced the analyzing complexity of our previous work. It has also been shown that the proposed technique gives better performance in terms of reducing false positive as well as better accuracy.

Familiarity-based word-frequency effects in recognition memory and implicit priming

Provides evidence that familiarity as well as recollection contributes to the recognition advantage for low-frequency words. The importance for explanations of the low-frequency word advantage to account for the influence of both explicit and implicit memory processes is discussed with emphasis given to developing the dual-process model.

Identification of implicit technical relationships in overlapping networks

Overlapping network techniques to expand the single sequential finish-to-start relationship between preceding and succeeding activities in scheduling construction projects have been developed for decades. The hidden logic relationships between activities and two virtual activities, Start and Finish, however limit the applications of these techniques in practice as they may lead to incorrect time parameters of some activities. In this research, a novel approach has been developed to identify those concealed relationships in a structured procedure by a two-dimensional nested diagram. An empirical study was carried out to demonstrate the network modification approach.

Trade-offs and implicit preferences in human mate selection

Two novel to domain research methods - choice modelling and the implicit Association Test (IAT) - were applied to measure trade-offs and implicit preferences in human mate preferences. Collectively, findings from four experiments supported the explanatory superiority of Sexual Strategies Theory as a model of between sex and within sex variability in mate preferences.

Implicit theories and personality patterns in child-victim sex offenders

Research has suggested that child sex offenders hold thematically distinct cognitive distortions, which Ward and Keenan (1999) call Implicit Theories. The aim of this preliminary study was to investigate the relationship between offenders’ Implicit Theories and their personality related cognitions. The variables were measured using the Implicit Theory Questionnaire and Millon’s (1990) MCMI-III personality scales. Subjects were 28 male sex offenders against children serving a custodial sentence in New Zealand, who elected to participate in a treatment program. A majority of participants had personality scale scores that reached the clinical threshold. Results found that dependant, depressive and schizoidal personality patterns significantly correlated with Implicit Theories. Clinical and theoretical implications are discussed.

Sexual murderers' implicit theories

Interviews with 28 sexual murderers were subjected to grounded theory analysis. Five implicit theories (ITs) were identified: dangerous world, male sex drive is uncontrollable, entitlement, women as sexual objects, and women as unknowable. These ITs were found to be identical to those identified in the literature as being present in rapists. The presence of dangerous world and male sex drive is uncontrollable were present, or absent, such that three groups could be identified: (a) dangerous world plus male sex drive is uncontrollable; (b) dangerous world, in the absence of male sex drive is uncontrollable; (c) male sex drive is uncontrollable in the absence of dangerous world. These three groups were found to differ in motivation: (a) were motivated by urges to rape and murder; (b) were motivated by grievance, resentment and/or anger toward women; (c) were motivated to sexually offend but were prepared to kill to avoid detection, or secure compliance.

Identification of five fundamental implicit theories underlying cognitive distortions in child abusers : a preliminary study

Qualitative analysis of interviews with 22 child abusers found strong evidence for Ward and Keenan's (1999) proposal that there are five implicit theories in child abusers that account for the majority of their cognitive distortions/thinking errors. These implicit theories are: Child as a sexual being where children are perceived as being able to and wanting to engage in sexual activity with adults and also are not be harmed by such sexual contact; Nature of harm where the offender perceives that sexual activity does not cause harm (and may in fact be beneficial) to the child; Entitlement where the child abuser perceives that he is superior and more important than others: and hence is able to have sex with whoever, and whenever, he wants; Dangerous world where the offender perceives that that others are abusive and rejecting and he must fight to regain control; and Uncontrollable where the offender perceives the world as uncontrollable and hence he believes that circumstances are outside of his control. There was no evidence for any other type of implicit theory. Results of the study also indicated that there was a significant difference in terms of the endorsement of the Dangerous world implicit theory between participants reporting a history of child sexual abuse and those who did not. Offenders against male victims were significantly more likely to endorse the Child as a sexual being and Dangerous world implicit theories compared to men who had offended against female children.

The identification of implicit theories in domestic violence perpetrators

An understanding of how the beliefs of domestically violent offenders might influence their abusive behavior is central to the development and delivery of any intervention program that aims to reduce the risk of further violence against women and children. This article reports the results of a preliminary investigation into the core beliefs of a sample of domestically violent men. Three major themes emerged from an analysis of the accounts of their violence, which were understood in relation to three implicit theories that participants held about themselves, their relationships, and the world. These are discussed in terms of previous studies of offender cognition, how domestic violence programs might be conceptualized, and their implications for practice.

Human action categorization using conditional random field

Automatic human action recognition has been a challenging issue in the field of machine vision. Some high-level features such as SIFT, although with promising performance for action recognition, are computationally complex to some extent. To deal with this problem, we construct the features based on the Distance Transform of body contours, which is relatively simple and computationally efficient, to represent human action in the video. After extracting the features from videos, we adopt the Conditional Random Field for modeling the temporal action sequences. The proposed method is tested with an available standard dataset. We also testify the robustness of our method on various realistic conditions, such as body occlusion or intersection.

Stressor categorization : acute physical and psychological stressors elicit distinctive recruitment patterns in the amygdala and in medullary noradrenergic cell groups

It has been hypothesized that the brain categorizes stressors and utilizes neural response pathways that vary in accordance with the assigned category. If this is true, stressors should elicit patterns of neuronal activation within the brain that are category-specific. Data from previous immediate–early gene expression mapping studies have hinted that this is the case, but interstudy differences in methodology render conclusions tenuous. In the present study, immunolabelling for the expression of c-fos was used as a marker of neuronal activity elicited in the rat brain by haemorrhage, immune challenge, noise, restraint and forced swim. All stressors elicited c-fos expression in 25–30% of hypothalamic paraventricular nucleus corticotrophin-releasing-factor cells, suggesting that these stimuli were of comparable strength, at least with regard to their ability to activate the hypothalamic–pituitary–adrenal axis. In the amygdala, haemorrhage and immune challenge both elicited c-fos expression in a large number of neurons in the central nucleus of the amygdala, whereas noise, restraint and forced swim primarily elicited recruitment of cells within the medial nucleus of the amygdala. In the medulla, all stressors recruited similar numbers of noradrenergic (A1 and A2) and adrenergic (C1 and C2) cells. However, haemorrhage and immune challenge elicited c-fos expression in subpopulations of A1 and A2 noradrenergic cells that were significantly more rostral than those recruited by noise, restraint or forced swim. The present data support the suggestion that the brain recognizes at least two major categories of stressor, which we have referred to as ‘physical’ and ‘psychological’. Moreover, the present data suggest that the neural activation footprint that is left in the brain by stressors can be used to determine the category to which they have been assigned by the brain.

Automatic genre identification for content-based video categorization

This paper presents a set of computational features originating from our study of editing effects, motion, and color used in videos, for the task of automatic video categorization. These features besides representing human understanding of typical attributes of different video genres, are also inspired by the techniques and rules used by many directors to endow specific characteristics to a genre-program which lead to certain emotional impact on viewers. We propose new features whilst also employing traditionally used ones for classification. This research, goes beyond the existing work with a systematic analysis of trends exhibited by each of our features in genres such as cartoons, commercials, music, news, and sports, and it enables an understanding of the similarities, dissimilarities, and also likely confusion between genres. Classification results from our experiments on several hours of video establish the usefulness of this feature set. We also explore the issue of video clip duration required to achieve reliable genre identification and demonstrate its impact on classification accuracy.

Video genre categorization using audio wavelet coefficients

In this paper, we investigate the use of a wavelet transform-based analysis of audio tracks accompanying videos for the problem of automatic program genre detection. We compare the classification performance based on wavelet-based audio features to that using conventional features derived from Fourier and time analysis for the task of discriminating TV programs such as news, commercials, music shows, concerts, motor racing games, and animated cartoons. Three different classifiers namely the Decision Trees, SVMs, and k-Nearest Neighbours are studied to analyse the reliability of the performance of our wavelet features based approach. Further, we investigate the issue of an appropriate duration of an audio clip to be analyzed for this automatic genre determination. Our experimental results show that features derived from the wavelet transform of the audio signal can very well separate the six video genres studied. It is also found that there is no significant difference in performance with varying audio clip durations across the classifiers.