An investigation of cardiac vagal tone over time and its relation to vigilance performance: a growth curve modeling approach.

Introduction: Research over the last couple of decades has demonstrated a relationship between psychophysiological measures, specifically cardiac functions, and cognitive performance. Regulation of the cardiac system under parasympathetic control is commonly referred to as cardiac vagal tone and is associated with the regulation of cognitive and socioemotional states. The goal of the current study was to capture the dynamic relationship between cardiac vagal tone and performance in a vigilance task.

Workload transition rate matters: Evidence from growth curve modeling.

This research examined three specific gaps in the workload transition literature: (1) the impact of workload transition rate, (2) the applicability of current theoretical explanations, and (3) the variability of performance overall and over time. Sixty Naval flight students multitasked in an unmanned aerial vehicle control testbed and workload transitioned at three rates: slow, medium, or fast. Response time and accuracy were analyzed via growth curve modeling.

Scan-based eye tracking measures are predictive of workload transition performance.

Given there is no unifying theory or design guidance for workload transitions, this work investigated how visual attention allocation patterns could inform both topics, by understanding if scan-based eye tracking metrics could predict workload transition performance trends in a context-relevant domain. The eye movements of sixty Naval flight students were tracked as workload transitioned at a slow, medium, and fast pace in an unmanned aerial vehicle testbed. Four scan-based metrics were significant predictors across the different growth curve models of response time and accuracy.

An examination of relations between baseline pupil measures and cognitive abilities.

Examining individual differences in pupil size and pupillary dynamics have revealed important insights into the nature of individual differences in cognitive abilities like working memory capacity, long-term memory, attention control, and fluid intelligence. These findings are often tied to the locus coeruleus-norepinephrine (LC-NE) system, as this system has a tight temporal correlation with pupil diameter. Some recent research has demonstrated positive correlations between resting pupil size and cognitive ability, specifically fluid intelligence.

Near-Perfect Automation: Investigating Performance, Trust, and Visual Attention Allocation.

Objective: Assess performance, trust, and visual attention during the monitoring of a near-perfect automated system.

Background: Research rarely attempts to assess performance, trust, and visual attention in near-perfect automated systems even though they will be relied on in high-stakes environments.

Methods: Seventy-three participants completed a 40-min supervisory control task where they monitored three search feeds.

Detecting automation failures in a simulated supervisory control environment.

The goal of this research was to determine how individuals perform and allocate their visual attention when monitoring multiple automated displays that differ in automation reliability. Ninety-six participants completed a simulated supervisory control task where each automated display had a different level of reliability (namely 70%, 85% and 95%). In addition, participants completed a high and low workload condition.

Ongoing task delays affect prospective memory more powerfully than filler task delays.

The effect of delay on prospective memory (PM) is mixed. Research has typically shown that PM either decreases or remains unchanged as the time increases between intention formation and encounter with a PM cue. However, the results of one study demonstrated that PM sometimes increases with increasing delays (Hicks, Marsh, & Russell, 2000).

Source memory for unrecognized items: predictions from multivariate signal detection theory.

We report three experiments investigating source memory for words that were called "new" on a recognition test. In each experiment, participants could accurately specify the source of words that they failed to recognize. Results also demonstrated that source memory for unrecognized items varied with the bias to respond "old" in recognition decisions: Participants displayed unrecognized source memory when they were told that 25% of the recognition test words were old (promoting conservative responding) but not when they were told that 75% of the test words were old (promoting liberal responding).