Developing a generic approach to online automated analysis of writing and drawing tests in clinical patient profiling

Writing and drawing tests are widely used in the clinical environment for the diagnosis of a variety of neuropsychological conditions. Conventional assessment of these tests involves the inspection by trained assessors of the completed patient response. This article describes the development of a computer-based framework for data capture, automated feature analysis, and result reporting for a range of drawing- and writing-based test batteries. In developing this framework, we have exploited the commonality between tasks while allowing for both flexibility in configuration across condition-specific testing requirements and extensibility for future test development. Using the two example clinical conditions of visuospatial neglect and dyspraxia, we illustrate the advantages of utilizing a computer-based analysis system, describe a structured approach to system implementation, and demonstrate the generality of this implementation for different conditions of interest, which extends to feature selection and design.     

The half-life of cognitive-affective states during complex learning

We investigated the temporal dynamics of students’ cognitive-affective states (confusion, frustration, boredom, engagement/flow, delight, and surprise) during deep learning activities. After a learning session with an intelligent tutoring system with conversational dialogue, the cognitive-affective states of the learner were classified by the learner, a peer, and two trained judges at approximately 100 points in the tutorial session. Decay rates for the cognitive-affective states were estimated by fitting exponential curves to time series of affect responses. The results partially confirmed predictions of goal-appraisal theories of emotion by supporting a tripartite classification of the states along a temporal dimension: persistent states (boredom, engagement/flow, and confusion), transitory states (delight and surprise), and an intermediate state (frustration). Patterns of decay rates were generally consistent across affect judges, except that a reversed actor–observer effect was discovered for engagement/flow and frustration. Correlations between decay rates of the cognitive-affective states and several learning measures confirmed the major predictions and uncovered some novel findings that have implications for theories of pedagogy that integrate cognition and affect during deep learning.     

How Do Educational Attainment and Occupational and Wage-Earner Statuses Affect Life Satisfaction? A Gender Perspective Study

The main objective of this paper is to analyze the impact of education on life satisfaction once indirect effects through income, health, participation in the workforce or professional status are controlled for. The focus is placed on gender differences, thus studying whether the effects of education on life satisfaction differ for women and men and whether occupational variables and the individual’s role in the household may mediate this relationship. Among the results, we find that gender differences in life satisfaction tend to disappear when account is taken of the individuals’ role as primary wage earner in the household. Regarding education, our results suggest that its impact on satisfaction with life differs for women and men: both direct and indirect effects of education are found for women whereas no direct effects of education appear in the case of men, but only indirect effects through enhanced job opportunities and professional status.     

The Fortune 500 Companies' Selection Criteria for Promotion to First Level Sales Management: An Empirical Study

Since marketing, and particularly selling activities, determine the sources and size of a company's revenue, factors which vitally affect sales force performance are matters of crucial importance to corporate management.

Predicting how a newly appointed first level sales manager will perform in the new leadership task remains a difficult problem and the determination and use of selection criteria appears not to be clearly defined in the literature. Previous research has identified desirable attributes as selection criteria though typically these are neither ranked in importance nor as attributes that “can be developed later through training/experience” or be “innate to the person selected.” This research focused upon the selection criteria and practices of the Fortune 500 companies in selecting/appointing their first level sales managers. The results revealed that (i) the Fortune 500 human resource managers are in agreement with the findings of previous research with regard to which personality and character traits are crucial pre-requisites to good sales management performance; (ii) a surprisingly small number of firms use psychological batteries/tests or qualified psychologists to measure these traits; and (iii) turnover rates, not due to promotion, among first level sales managers appear to be high.     

Confusion and its dynamics during device comprehension with breakdown scenarios

The incidence and dynamics of confusion during complex learning and problem solving were investigated in an experiment where participants first read illustrated texts on everyday devices (e.g., an electric bell) followed by breakdown scenarios reflecting device malfunctions (e.g., “When a person rang the bell there was a short ding and then no sound was heard”). The breakdown scenarios were expected to trigger impasses and put participants in a state of cognitive disequilibrium where they would experience confusion and engage in effortful confusion resolution activities in order to restore equilibrium. The results confirmed that participants reported more confusion when presented with the breakdown scenarios compared to control scenarios that involved focusing on important device components in the absence of malfunctions. A second-by-second analysis of the dynamics of confusion yielded two characteristic trajectories that distinguished participants who partially resolved their confusion from those who remained confused. Participants who were successful in partial confusion resolution while processing the breakdowns outperformed their counterparts on knowledge assessments after controlling for scholastic aptitude, engagement, and frustration. This effect was amplified for those who were highly confused by the breakdowns. There was no direct breakdown vs. control effect on learning, but being actively engaged and partially resolving confusion during breakdown processing were positive predictors of increased learning with the breakdown compared to control scenarios. Implications of our findings for theories that highlight the role of impasses, cognitive disequilibrium, and confusion to learning are discussed.