Comparison of a brain-based adaptive system and a manual adaptable system for invoking automation.

Objective: Two experiments are presented examining adaptive and adaptable methods for invoking automation.

Background: Empirical investigations of adaptive automation have focused on methods used to invoke automation or on automation-related performance implications. However, no research has addressed whether performance benefits associated with brain-based systems exceed those in which users have control over task allocations.

An evaluation of an adaptive automation system using a cognitive vigilance task.

The performance of an adaptive automation system was evaluated using a cognitive vigilance task. Participants responded to the presence of a green "K" in an array of two, five, or nine distractor stimuli during a 40-min vigil. The array with the target stimulus was presented once each minute.

Effects of a psychophysiological system for adaptive automation on performance, workload, and the event-related potential P300 component.

The present study examined the effects of an electroencephalographic- (EEG-) based system for adaptive automation on tracking performance and workload. In addition, event-related potentials (ERPs) to a secondary task were derived to determine whether they would provide an additional degree of workload specificity. Participants were run in an adaptive automation condition, in which the system switched between manual and automatic task modes based on the value of each individual's own EEG engagement index; a yoked control condition; or another control group, in which task mode switches followed a random pattern.

Effects of a biocybernetic system on vigilance performance.

The present study was designed to determine whether a biocybernetic, adaptive system could enhance vigilance performance. Participants were asked to monitor the repetitive presentation of white bars on a computer screen for occasional increases in length. An index of task engagement was derived from participants' electroencephalographic (EEG) activity and was used to change the presentation rate of events among 3 values (6, 20, and 60 events/min).

A closed-loop system for examining psychophysiological measures for adaptive task allocation.

A closed-loop system was evaluated for its efficacy in using psychophysiological indexes to moderate workload. Participants were asked to perform either 1 or 3 tasks from the Multiattribute Task Battery and complete the NASA Task Load Index after each trial. An electroencephalogram (EEG) was sampled continuously while they performed the tasks, and an EEG index (beta/alpha plus theta) was derived.