Teams have become the norm for operating in dangerous and complex situations. To
investigate how physical threat affects team performance, 27 three-person teams engaged …

Objective We developed an extensively general closed-loop system to improve human
interaction in various multitasking scenarios, with semi-autonomous agents, processes, and …

A reusable agent-based generic model is presented for a specific class of Ambient
Intelligence applications: those cases addressing human wellbeing and functioning from a …

Objective We aimed to elucidate how our domain-general cuing algorithm improved
multitasking performance and changed behavioral strategies in human operators …

Here we describe, in terms of a decision problem, any situation in which a computational
system will be forced to allocate attention at any time to one spatial location to improve the …

Ar Rumaythah, a desert town in Iraq, around midnight. A unit of the Dutch Military Police
(MP) is on its way back to their base. When they cross a bridge and enter the centre of the …

This paper addresses the development of an adaptive cooperative agent in a domain that
suffers from human error in the allocation of attention. The design is discussed of a …

Augmented cognition could serve as an innovative rehabilitation approach for mild traumatic
brain injuries, where issues with cognition, behavior, and affective responses are monitored …

The augmented cognition community seeks cognitive neuroscience-based solutions to
improve warfighter performance by applying and managing mitigation strategies to reduce …

Teams have become the norm for operating in dangerous and complex situations. To
investigate how physical threat affects team performance, 27 three-person teams engaged …