Cognitive performance in memory tasks, as measured by the N-back task, shows large differences between attention deficiency disorder (ADD) patients and controls. Recent findings indicate fewer anatomical differences, which, in turn, makes a cognitive modeling of the inherent information processes possible. In this article, we investigate these aspects for 0-back and 1-back problems and introduc...

Context awareness is the key to any active assistance system. The Human Behavior Monitoring and Support project (HBMS) applies a multilevel context modeling approach, aiming to achieve context readability, reuse, adaptability and interoperability. The HBMS-System is the resulting active assistance system, which is multiply deployable in different domains to support the behavior of users in situ...

The construction of large-scale reference conceptual models is a complex engineering activity. To develop high-quality models, a modeler must have the support of expressive engineering tools such as theoretically well-founded modeling languages and methodologies, patterns and anti-patterns and automated support environments. This paper proposes Semantic Anti-Patterns for ontologydriven conceptu...

Advantages and shortcomings of different process modeling languages are heavily debated, both in academia and industry, but little evidence is presented to support judgements. With this paper we aim to contribute to a more rigorous, theoretical discussion of the topic by drawing a link to well-established research on program comprehension. In particular, we focus on imperative and declarative t...

Research in managerial and executive leadership recognizes the importance of behavioral complexity, particularly for addressing the competing demands and roles expected of managerial leaders. Though some empirical research on behavioral complexity exists, further progress requires a more rigorous instrument to measure behavioral repertoire. We design an elaborated, multi-dimensional instrument ...

At present time most system engineers do not have access to cognitive work analysis knowledge or training in terms that they could understand and apply in the system design process. This may lead to specifying systems requirements that do not account for cognitive strengths and limitations of the prospective users. This paper proposes integration of cognitive work demands in the systems enginee...

This research advances computational cognitive modeling of visual search, and the synergistic relationship between cognitive modeling and eye tracking. The paper presents cognitive models of the perceptual, cognitive, and motor processing involved in the visual search of words in structured layouts that vary in density. The layouts are allsparse, all-dense, or mixed. A principled approach is ta...

Cognitive performance modeling captures patterns of observable behavior that reflect the operation of underlying cognitive activities. These behavioral patterns can be linked to training requirements in order to derive automated measures of cognitive performance. We are currently developing the Team Coaching Assistant for SimulationBased Training (T-CAST), a cognitive performance modeling syste...

Recently, conceptual modellers have to choose between modeling tools running on tablets or in a common PC environment. This choice has some implications on how cognitive efficient the modeling process is. While using touch input (given on a tablet) eyes and hand are directly coordinated, which supports human gaze behaviour. On the contrary, modelling with a mouse (given in a common PC environme...

Tim Halverson is a cognitive scientist with an interest in human-computer interaction, cognitive modeling, eye movements, and fatigue; he is a post-doctoral research associate in the Performance and Learning Model Team of the Air Force Research Laboratory. Anthony J. Hornof is a computer scientist with an interest in human-computer interaction, cognitive modeling, visual search, and eye trackin...