Error management theory (EMT) proposes that when the costs of different types of errors are asymmetrical in their fitness consequences, natural selection will create biased cognitive mechanisms that maximize the least costly error (Haselton & Buss, 2000; Haselton & Nettle, 2006). Since the time of its initial publication, EMT has produced dozens of new hypotheses and empirical results character...

Levels of cognitive function are often compromised with increasing levels of stress and fatigue, as is often the norm in certain complex, high-intensity fields of work. Aviation, aeronautics, and product manufacturing have come to rely heavily on checklists to aid in reducing human error. The checklist is an important tool in error management across all these fields, contributing significantly ...

Data servers for multimedia applications like News-onDemand represent a severe bottleneck, because a potentially (very) high number of users concurrently retrieve data with high data rates. In the Intermediate Storage Node Concept (INSTANCE) project, we develop a new architecture for Media-on-Demand servers that maximizes the number of concurrent clients a single server can support. Traditional...

This paper focuses on our recent work in frame-based dialogue management. Despite frames are frequently used in commercial speech applications, they lack enough automation for error recovery within a dialogue. In this paper we present and demonstrate our mechanism that fills this gap by automatically tracking and managing the dialogue flow causality.

Error management training (EMT) is a training method that involves active exploration as well as explicit encouragement for learners to make errors during training and to learn from them. Past evaluation studies, which compared skill-based training outcomes of EMT with those of proceduralized erroravoidant training or of exploratory training without error encouragement, have yielded considerabl...

Human error identification systems have been criticised for failing to consider the problems of operational incident investigators and system developers. Increasingly esoteric human error modelling and classification approaches have often been met with resistance from the potential user groups that could apply them with the greatest impact. In order to improve the transfer of this technology, e...

This paper describes an innovative Energy Consumption Management System (ECMS) that is aimed at rationalizing the end use of the electrical energy in tunnel lighting. It is based on agent technologies and Power Line Communications to achieve lowest consumption lighting conditions in an optimal way. Depending on the type of application, the system would lead also to reduced installation and runn...