Evidence accumulation models (EAMs) are a class of computational cognitive model used to
understand the latent cognitive processes that underlie human decisions and response …

We develop and test an integrative formal model of motivation and decision making. The
model, referred to as the extended multiple-goal pursuit model (MGPM*), is an integration of …

Recent advances in small, connected and intelligent satellite systems have created a wide
range of opportunities for the adoption of intelligent Distributed Satellite Systems (iDSS) in …

Human performance in complex multiple-task environments depends critically on the
interplay between cognitive control and cognitive capacity. In this paper we propose a …

We applied a computational model to examine the extent to which participants used an
automated decision aid as an advisor, as compared to a more autonomous trigger of …

Performing deferred actions in the future relies upon Prospective Memory (PM). Often, PM
demands arise in complex dynamic tasks. Not only can PM be challenging in such …

The objective of the study was to evaluate effects of complexity on cognitive workload in a
simulated air traffic control conflict detection task by means of eye movements recording. We …

Objective: The aim of this study was to examine whether the Situation Present Assessment
Method (SPAM) and the Situation Awareness Global Assessment Technique (SAGAT) …

Cognitive engineering researchers have long studied the complexity and reliability of human–
automation interaction. Historically, though, the area of human–automation decision-making …

Failures to remember to perform deferred task actions in work settings such as air traffic
control can have serious consequences. Most research examining the cognitive …