Beliefs, values, and action : the judgment model of cognitive distortions in sexual offenders

In this paper, we present the Judgment Model of Cognitive Distortions (JMCD), a new model of cognitive distortions that spans multiple levels of analysis and contains different types of judgments. This model proposes that cognitive distortions tend to cluster together in what we have termed Thematic Networks (TN): judgments about beliefs, values, and actions. We argue that the three sets of judgments cover all types of cognitive distortions apparent in sexual offenders including those revolving around content (i.e., asserting characteristics to people, the offender, the world) and cognitive operations (i.e., denial, minimization, rationalizations). Following a description of the JMCD, we demonstrate how it can account for the cognitive schemata identified in sexual offenders by researchers and clinicians. The paper concludes with a brief discussion of the clinical and research implications of the JMCD.

Social cognitive theory in mobile banking innovations

This paper examines the behavior Australian youths have toward mobile banking. Social cognitive theory is the theoretical framework in which a conceptual model is empirically tested. The conceptual model includes five constructs (media, modeling, outcome expectancy, learning orientation and entrepreneurial orientation), which are proposed to influence an individual’s intention to adopt mobile banking. The conceptual model is tested in a sample of Australian youths and the analysis supports a portion of the proposed conceptual model. The findings support the link between the media and an individual’s entrepreneurial orientation with their intention to adopt mobile banking. The paper demonstrates how social cognitive theory is a useful foundation to understand the external and internal stimuli that influence an individual’s desire to adopt mobile banking.

Analysis of the cost performance of structural building frames in Australia

The significance of this research is that it is the first comprehensive analysis of cost performance across Australia. It is well known that measuring cost performance is not an easy task; comparisons of building projects on a `like-for-like’ basis are uncommon, and rarely occur in the real world. However, this paper analyses 120 different structural frame models that represent various; structural designs, construction methods, grid spans, and locations.

The research produced price models that were representative of structural frames used in medium-rise non-residential buildings. It is based on pricing a number of standard building frame designs in five Australian cities. The results represent the cost of producing the same building in different locations, using similar building construction techniques. By utilizing a standard model, project variables like building quality, ground conditions and access were eradicated, thereby facilitating an unbiased comparison of cost performance. I addition, the results are an indicator of building productivity based on costs per square metre of various construction types.

This research provides the Australian industry with robust data about the relative cost performance of various structural building frames. In addition, this research has wider implications because the models may also become useful data for the measuring relative cost performance in other countries.

Identifying film takes for cinematic analysis

In this paper, we focus on the ‘reverse editing’ problem in movie analysis, i.e., the extraction of film takes, original camera shots that a film editor extracts and arranges to produce a finished scene. The ability to disassemble final scenes and shots into takes is essential for nonlinear browsing, content annotation and the extraction of higher order cinematic constructs from film. In this work, we investigate agglomerative hierachical clustering methods along with different similarity metrics and group distances for this task, and demonstrate our findings with 10 movies.

Automated film rhythm extraction for scene analysis

This paper examines film rhythm, an important expressive element in motion pictures, based on our ongoing study to exploit film grammar as a broad computational framework for the task of automated film and video understanding. Of the many, more or less elusive, narrative devices contributing to film rhythm, this paper discusses motion characteristics that form the basis of our analysis, and presents novel computational models for extracting rhythmic patterns induced through a perception of motion. In our rhythm model, motion behaviour is classified as being either nonexistent, fluid or staccato for a given shot. Shot neighbourhoods in movies are then grouped by proportional makeup of these motion behavioural classes to yield seven high-level rhythmic arrangements that prove to be adept at indicating likely scene content (e.g. dialogue or chase sequence) in our experiments. Underlying causes for this level of codification in our approach are postulated from film grammar, and are accompanied by detailed demonstration from real movies for the purposes of clarification.

Finding the beat : an analysis of the rhythmic elements of motion pictures

This paper forms a continuation of our work focused on exploiting film grammar for the task of automated film understanding. We examine film rhythm, a powerful narrative concept used to endow structure and form to the film compositionally and to enhance its lyrical quality experientially. Of the many, often complex, cinematic devices contributing to film rhythm, this paper investigates the rhythmic elements that are present in edited sequences of shots, and presents a novel computational model to detect shot structural rhythm as either metric, accelerated, decelerated, or free. Details of the algorithm for the extraction of these editing rhythm classes are presented, along with experimental results on real movie data. Following this we study the usefulness of combining the rhythmic patterns induced through both motion and editing in film. We show that, whilst detailed content identification via rhythm types alone is not possible by virtue of the fact that film is not codified to this level in terms of rhythmic elements, analysis of the combined motion/shot rhythm can allow us to determine that the content has changed and hypothesize as to why this is so. We present 3 such categories of change and demonstrate their efficacy for capturing useful film elements (e.g., scene change precipitated by plot event), by providing data support from 5 motion pictures.

Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization

Identification of unnatural control chart patterns (CCPs) from manufacturing process measurements is a critical task in quality control as these patterns indicate that the manufacturing process is out-of-control. Recently, there have been numerous efforts in developing pattern recognition and classification methods based on artificial neural network to automatically recognize unnatural patterns. Most of them assume that a single type of unnatural pattern exists in process data. Due to this restrictive assumption, severe performance degradations are observed in these methods when unnatural concurrent CCPs present in process data. To address this problem, this paper proposes a novel approach based on singular spectrum analysis (SSA) and learning vector quantization network to identify concurrent CCPs. The main advantage of the proposed method is that it can be applied to the identification of concurrent CCPs in univariate manufacturing processes. Moreover, there are no permutation and scaling ambiguities in the CCPs recovered by the SSA. These desirable features make the proposed algorithm an attractive alternative for the identification of concurrent CCPs. Computer simulations and a real application for aluminium smelting processes confirm the superior performance of proposed algorithm for sets of typical concurrent CCPs.

Individually tailored client-focused reports for ubiquitous devices : an experimental analysis

We describe results of a test of a method for tailoring communications based on the recipient’s preferred information processing style and dominant motivational attitude. Results indicate that the greater the match between the style of the report and the individual’s attributes, the more informed the reader feels about the subject of the report. This research has been conducted as part of a study into methods to design patient-centred medical using diabetic patients as an exemplar of chronic disease. The long term aim is to use reports personalised to the recipient to better inform patients about their disease and strengthen their motivation to follow the treatment plan.

Analysis of the stages of change model of drug and alcohol treatment readiness among prisoners

A classification and regression tree (CART) analysis was applied to data for 237 male participants (M = 31.93 years, SD = 7.64) in a prison-based substance abuse treatment program to study the integrity of the Stages of Change model of treatment readiness. Using the Stages of Change Questionnaire (STOCQ), participants were assigned to Contemplation (102), Action (118), or Maintenance (17) groups. A CART analysis then examined differences in the overall group profiles on the basis of scores on the Psychological Inventory of Criminal Thinking, the Situational Confidence Questionnaire, and the Carlson Psychological Survey. The assumption of discrete stages of change was not supported. Alternative models are suggested: one based on states of change and one on personality characteristics. A focus on equal attention to both cognitive and behavioral aspects of substance abuse treatment readiness is suggested.

Reliability maps and probabilistic guarantee of task motion for robotic manipulators

There are many applications for which reliable and safe robots are desired. For example, assistant robots for disabled or elderly people and surgical robots are required to be safe and reliable to prevent human injury and task failure. However, different levels of safety and reliability are required for different tasks so that understanding the reliability of robots is paramount. Currently, it is possible to guarantee the completion of a task when the robot is fault tolerant and the task remains in the fault-tolerant workspace (FTW). The traditional definition of FTW does not consider different reliabilities for the robotic manipulator's different joints. The aim of this paper is to extend the concept of a FTW to address the reliability of different joints. Such an extension can offer a wider FTW while maintaining the required level of reliability. This is achieved by associating a probability with every part of the workspace to extend the FTW. As a result, reliable fault-tolerant workspaces (RFTWs) are introduced by using the novel concept of conditional reliability maps. Such a RFTW can be used to improve the performance of assistant robots while providing the confidence that the robot remains reliable for completion of its assigned tasks. © 2012 Copyright Taylor & Francis and The Robotics Society of Japan.

The relationship between neuropsychological performance, cognitive confidence, and obsessive-compulsive phenomena : a pilot study

Drawing on neuropsychological and cognitive-behavioral approaches to Obsessive-Compulsive Disorder (OCD), the present study examined the association between memory performance, cognitive confidence, and OCD phenomena. Forty-six analogue participants completed a series of self-report questionnaires and neuropsychological tasks before and after a manipulation of confidence in memory It was found that cognitive confidence predicts OCD symptoms over and above the influence of depressive symptoms and other OCD-related beliefs. Participants reported higher levels of cognitive confidence following positive feedback on the manipulation task. However, changes in cognitive confidence following the manipulation task were not reflected in neuropsychological performance. Implications for theory and treatment are discussed.

The Integrated Model of Sport Confidence: A Canonical Correlation and Mediational Analysis

The main purpose of the study was to examine crucial parts of Vealey’s (2001) integrated framework hypothesizing that sport confidence is a mediating variable between sources of sport confidence (including achievement, self-regulation, and social climate) and athletes’ affect in competition. The sample consisted of 386 athletes, who completed the Sources of Sport Confidence Questionnaire, Trait Sport Confidence Inventory, and Dispositional Flow Scale-2. Canonical correlation analysis revealed a confidence-achievement dimension underlying flow. Bias-corrected bootstrap confidence intervals in AMOS 20.0 were used in examining mediation effects between source domains and dispositional flow. Results showed that sport confidence partially mediated the relationship between achievement and  self-regulation domains and flow, whereas no significant mediation was found for social climate. On a subscale level, full mediation models emerged for achievement and flow dimensions of challenge–skills balance, clear goals, and concentration on the task at hand.

Cost-utility analysis of different treatments for post-traumatic stress disorder in sexually abused children

Post-traumatic stress disorder (PTSD) is diagnosed in 20% to 53% of sexually abused children and adolescents. Living with PTSD is associated with a loss of health-related quality of life. Based on the best available evidence, the NICE Guideline for PTSD in children and adolescents recommends cognitive behavioural therapy (TF-CBT) over non-directive counselling as a more efficacious treatment.

Greater cognitive effort for better learning : tailoring an instructional design for learners with different levels of knowledge and motivation

The capacity limitation of working memory is a widely recognised determinant of human learning. A cognitive load exceeding the capacity hampers learning. Cognitive load can be controlled by tailoring an instructional design to levels of learner prior knowledge. However, such as design does not necessarily motivate to use the available capacity for better learning. The present review examines literatures on the effects of instructional design, motivation, emotional state, and expertise level on cognitive load and cognitive effort, which ultimately affect working memory performance and learning. This examination suggests further studies on the effects of motivation and negative emotional states on the use of working memory. Prospective findings would help better explain and predict individual differences in the use of working memory for cognitive learning and task performance.

Investigation of consumer satisfaction with cognitive-behaviour therapy and sertraline in the treatment of adolescent depression

Objective: A new instrument, the Adolescent Depression Treatment Satisfaction Questionnaire (ADTSQ) was devised to measure the consumer satisfaction of depressed adolescents and their parents. The objectives of the paper were to present the psychometric proper ties ofthe ADTSQ and to investigate the relative consumer satisfaction with cognitive-behavioural therapy (CBT), sertraline (SRT) and a combined treatment of CBT and SRT (COMBINED) for the treatment of adolescent depression. In addition, participants were asked to rank their most preferred treatment from the following approaches: medication, individual counselling, group program and family therapy.Method: Thirty-eight adolescents with a unipolar depressive disorder and 37 parents who participated in a randomized clinical trial of CBT versus SRT versus COMBINED completed the ADTSQ following the completion of acute treatment.Results: The ADTSQ was found to have high internal consistency and exploratory factor analysis detected three underlying factors. High levels of consumer satisfaction were reported by both adolescents and parents in all three treatments. Those treated with CBT treatments reported higher levels of skill acquisition than those treated with SRT. Of the four treatment approaches, most parents and adolescentsrated individual counsellingas their first preference.Conclusions: The ADTSQ is a useful measure of consumer satisfaction for depressed adolescents and their parents. CBT, SRT and COMBINED were shown to have high consumer satisfaction with CBT's higher skills training content reflected in the participants' reports. Individual counselling was perceived as the most favourable choice of treatment for adolescent depression. Although limitations associated with the measurement of consumer satisfaction and of the study are acknowledged, it is recommended that the inclusion of consumer satisfaction measures be considered in clinical trials that examine treatment efficacy.