Sequences of actions for individual and teams of air traffic controllers

Authors:
O. U. Vortac;Mark B. Edwards;Carol A. Manning
Affiliations:
Department of Psychology, University of Oklahoma, Norman, OK;US West Technologies and University of Oklahoma;Civil Aeromedical Institute (CAMI), Federal Aviation Administration, Oklahoma City, OK
Venue:
Human-Computer Interaction
Year:
1994

Citing 5
Cited 1

Computer analysis of user interfaces based on repetition in transcripts of user sessions

ACM Transactions on Information Systems (TOIS)
Pathfinder associative networks: studies in knowledge organization

Pathfinder associative networks: studies in knowledge organization
Graphs in the social and psychological sciences: empirical contributions of pathfinder

Pathfinder associative networks
The role of flight progress strips in en route air traffic control: a time-series analysis

International Journal of Human-Computer Studies
Procedural network representations of sequential data

Human-Computer Interaction

Computational representation of discourse practices across populations in task-based dialogue

Proceedings of the 4th international conference on Intercultural Collaboration

Quantified Score

Hi-index	0.01

Visualization

Abstract

Air traffic controllers participated in high-fidelity simulations of en route air traffic, either singly or with a second team member. The observed stream of time-stamped behaviors and communication events was analyzed using the Pathfinder scaling algorithm, which provides a directional graph of the latent structure in the data. The graphs were found to be similar across levels of traffic complexity, and the triggers for frequently co-occurring activities were equivalent for the individuals and the teams. This suggests that numerous aspects of air traffic control performance are robust and transcend some powerful situational variables. The implications for interface design and automation are discussed.