A Neuroergonomic Quasi-Experiment: Predictors of Situation Awareness and Display Usability with USAF Pilots while Performing Complex Tasks

Abstract

Situation awareness (SA) is the psychological ability and capacity to perceive information and act on it acceptably. This ability is central to human behavior. Existing theoretical models explain many aspects of SA; however, knowledge about its development out of basic perceptual abilities was insufficient. This quantitative research examined basic neurocognitive factors in order to identify their specific contributions to the formation of SA, to address this fundamental discontinuity in theory. Piloting was the chosen task. Visual attentiveness (Va), perceptiveness (Vp), and spatial working memory (Vswm) were assessed as predictors of SA under varying task difficulty. Factorial and repeated-measures ANOVAs, Pearson correlation, and linear multiple regression modeling were used to determine the effects of these independent variables on the dependent variable SA and the interactions. The study participants were 19 C-27J pilots, selected from the Ohio Air National Guard. Neurocognitive tests were administered to the participants prior to flight. In-flight SA was objectively and subjectively assessed for 24 flights. At the completion of this field experiment, the data were analyzed and the tests were statistically significant for the three predictor visual abilities Vp, Va, and Vswm as task difficulty was varied, F(3,11) = 8.125, p =.008. In addition, multiple regression analyses revealed that the visual abilities together predicted a majority of the variance in SA, R2 = 0.753, p =.008. Moreover, the Pearson correlation results indicated that Vp (r[12] =-0.816, p =.002) had the strongest relationship of the three neurocognitive factors for the overall flight. Post-hoc tests revealed a Cohen's yielding statistical power to be 0.98. This indicates that possessing the ability to have a perceptivity, to be insightful, and to have discernment, is most important. During high task difficulty Va (r[12] = -0.583, p = .046) had the strongest correlation with SA.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2015
Accession Number
ADA620177

Entities

People

  • Steven D. Harbour

Organizations

  • Northcentral University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Cognitive Workload
  • Computational Science
  • Data Science
  • Databases
  • Health Services
  • Human Behavior
  • Human Factors Engineering
  • Information Processing
  • Information Science
  • Medical Personnel
  • Network Science
  • Psychology
  • Surveys

Readers

  • Aviation Science / Aeronautics.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.