Air Traffic Control Specialist Decision Making and Strategic Planning: A Field Survey

Della Rocco, Pamela S.; D’Arcy, Jean-Francois · 2001 · ROSA P / William J. Hughes Technical Center (U.S.)

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Summary

This study investigates the decision-making and strategic planning processes of Air Traffic Control Specialists (ATCSs) to inform the development of automated decision aids. Motivated by the Federal Aviation Administration’s goal to increase automation for conflict resolution and separation maintenance, the research aimed to understand the cognitive strategies, memory techniques, and situation awareness practices used by controllers in operational settings. The authors sought to ensure that future automation aligns with human factors and controller needs, rather than relying on incorrect models of human decision-making. The researchers conducted semi-structured interviews with 100 ATCSs across 20 facilities, including both terminal and en route centers. The interviews explored controllers' perspectives on learning, memory, situation awareness, and the difficulties they encounter. Data were analyzed using content analysis and statistical methods to identify patterns in strategy usage, the influence of experience, and facility-specific differences. The study examined how controllers build mental pictures, manage workload, and utilize tools like flight progress strips. Key findings indicate that controllers prioritize safety and often plan their initial actions and build mental models before assuming control of a position. Most participants reported formulating backup plans, with more experienced controllers being significantly more likely to do so. Facility type influenced strategy selection: terminal controllers were more likely to implement their first developed strategy without considering alternatives during high workload or potential conflicts, whereas en route controllers were more likely to wait and see. Controllers also reported becoming more conservative, such as using larger separation buffers, when facing difficulties like bad weather, fatigue, aging, or high workload. The study highlighted the collective nature of the task, emphasizing coordination with other controllers and pilots. Controllers identified flight progress strips as critical memory aids and expressed a strong need for improved conflict probes, better weather information, data link communication, and enhanced radar displays. The significance of this research lies in its application to the design of decision support systems. The findings suggest that automation should account for varying levels of situation awareness based on controller experience and provide information that supports the pre-position mental picture formation. The results underscore the need for tools that assist with memory, particularly as electronic flight strips replace paper ones, and systems that mitigate the effects of fatigue and weather. By aligning automation with the actual cognitive strategies and perceived needs of controllers, the study aims to improve user acceptance and system efficiency, ultimately enhancing safety in the National Airspace System.

Key finding

More experienced controllers were more likely to formulate backup plans, while terminal controllers were more likely than en route controllers to use their first developed strategy instead of considering alternatives when a potential conflict was detected or workload was high.

Methodology

survey

Sample size: 100

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• situation awareness theory