Mental workload (MWL) measurement is a complex multidisciplinary research field. In the
last 50 years of research endeavour, MWL measurement has mainly produced theory-driven …

The ability to identify reliable and sensitive physiological signatures of psychological
dimensions is key to developing intelligent adaptive systems that may in turn help to mitigate …

Over the past decade, the Human–Computer Interaction (HCI) Lab at Tufts University has
been developing real-time, implicit Brain–Computer Interfaces (BCIs) using functional near …

We investigate inferring individual preferences and the contradiction of individual
preferences with group preferences through direct measurement of the brain. We report an …

To date, neural efficiency, an ability to economically utilize mental resources, has not been
investigated after cognitive training. The purpose of this study was to provide customized …

Abstract Knowledge transfer is a progressive method to accelerate knowledge accumulation
and technological innovation of enterprises. This hot research topic remains explorative on …

Mental workload measurement is a complex multidisciplinary research area that includes
both the theoretical and practical development of models. These models are aimed at …

Objectives Few studies have directly investigated changes in cortical haemodynamics
during a self-paced interval endurance activity, while collecting conscious cognition and …

In order to manage increasing complexity so called cognitive assistance systems are
integrated into assembly systems. On the basis of real-time measurement and analysis of …

Implicit Brain-Computer Interfaces (BCI) adapt system settings subtly based on real time
measures of brain activation without the user's explicit awareness. For example, measures …