Abstract This paper argues that TBLT researchers should dedicate more effort to investigating the cognitive processes in which L2 learners engage during task work facilitate theory-construction and inform pedagogical practices. To help achieve this, a review follows of various subjective (questionnaires, interviews, think-aloud/stimulated recall protocols) objective (dual-task methodology, keys...

This paper describes work on the development of an actionable model of situation awareness for Army infantry platoon leaders using fuzzy cognitive mapping techniques. Developing this model based on the formal representation of the platoon leader provided by the Goal-Directed Task Analysis (GDTA) methodology advances current cognitive models because it provides valuable insight on how to effecti...

This thesis examines the moderating effect of dispositional reinvestment upon ‘choking’ in cognitive based tasks such as decision-making. Study 1 tested sixty-three participants’ performances on lowand high-complexity tests of motor skill, psychomotor skill and working memory under lowand high-pressure conditions. The association between reinvestment and choking was shown to extend beyond the m...

The construction of instance-based cognitive models is often advocated as a way to reduce the complexity of modeling. Through an in-depth case study of modeling driving and adversarial behavior in a virtual environment, we show that the representation of the attributes and cues that make up instances can be enormously complex. Eye tracking and Cognitive Task Analysis are employed as methods to ...

Evaluating whether prospective air defense systems will effectively integrate the activities of humans and computers is a pressing issue for developers and purchasers of such systems. We need effective ways of modeling human-system integration while such systems are under development and while the possibilities for action are underspecified. We present a Cognitive Work Analysis-based analytic f...

A service robot requires natural and interactive interaction with users without explicit commands. It is still one of the difficult problems to generate robust reactions for the robot in the real environment with unreliable sensor data to satisfy user’s requests. This paper presents an intention-response model based on mirror neuron and theory of mind, and analyzes the performance for a humanoi...

Background. Parkinson’s disease (PD) is characterized by motor and non-motor symptoms that affect patients’ functional performances, especially while performing dual tasks which is a critical factor in connection with everyday living. There are many controversies about the benefits. Objectives. This study assessed the efficacy of motor and cognitive dual-task training programs for improving of ...

To build software which, at the press of a button, can tell you what cognition related hazards there are within an environment or a task, is probably well into the future if it is possible at all. However, incorporating existing tools such as task analysis tools, interface design guidelines and information about general cognitive limitations in humans, could allow for greater evaluative options...

Cognitive Science is interested in being able to develop methodologies for analyzing human learning and performance data. Intelligent tutoring systems need good c ognitive models that can predict student performance. Cognitive models of human processing are also useful in tutoring because well-designed curriculums need to understand the common components of knowledge that students need to be ab...