The use of conflict detection tools in air traffic management: an unobtrusive eye tracking field experiment during controller competence assurance

This study aims at explaining loss of separation events over the Swedish air space in 2011-2012, which occurred despite an automated conflict detection tool working as designed. The study suggests that there may be a trade-off between spending visual scan time on own conflict detection versus visual scan time spent on examining potential conflicts presented by the conflict detection automation. The issue is hard to solve, and is unfortunately far from resolved. This area of research requires a substantial applied research effort, if the goal is to both increase safety and capacity of ATM through the use of automation.

[1]  Philippe Averty,et al.  Effects of an Automated Conflict Solver on the Visual Activity of Air Traffic Controllers , 2013 .

[2]  Jonas Lundberg,et al.  Operationalising civil pilot's process of understanding instrument failure events , 2002 .

[3]  Julian Sanchez,et al.  Eye-Tracking Analysis of Near-Term Terminal Automation for Arrival Coordination , 2009 .

[4]  Eric Ruthruff,et al.  Visual Search in Complex Displays: Factors Affecting Conflict Detection by Air Traffic Controllers , 2000, Hum. Factors.

[5]  John Sweller,et al.  Cognitive Load Theory , 2020, Encyclopedia of Education and Information Technologies.

[6]  Dietrich Grasshoff,et al.  How to measure monitoring performance of pilots and air traffic controllers , 2012, ETRA '12.

[7]  U. Neisser Cognitive Psychology. (Book Reviews: Cognition and Reality. Principles and Implications of Cognitive Psychology) , 1976 .

[8]  John Sweller,et al.  Cognitive Load Theory: Instructional Implications of the Interaction between Information Structures and Cognitive Architecture , 2004 .

[9]  Thomas B. Sheridan,et al.  Human and Computer Control of Undersea Teleoperators , 1978 .

[10]  Stephen R. Ellis,et al.  Determination of Frame Rate Requirements for Videopanorama-based Virtual Towers using Visual Discrimination of Deceleration during Simulated Aircraft Landing: alternative analysis , 2011 .

[11]  Sandra P. Marshall,et al.  Measuring cognitive workload across different eye tracking hardware platforms , 2012, ETRA.

[12]  L. McIntire,et al.  Detection of vigilance performance using eye blinks. , 2014, Applied ergonomics.

[13]  Gary Klein,et al.  Problem detection , 2005, Cognition, Technology & Work.

[14]  Catrin Hasse,et al.  Differences in Monitoring between Experts and Novices , 2013 .

[15]  Kip Smith,et al.  Situation Awareness Is Adaptive, Externally Directed Consciousness , 1995, Hum. Factors.

[16]  Sandra P. Marshall,et al.  Eye tracking insights into cognitive modeling , 2006, ETRA.

[17]  Tjerk de Greef,et al.  Using eye tracker data in air traffic control , 2011, ECCE.

[18]  Leo Gugerty,et al.  Development of a Novel Measure of Situation Awareness: The Case for Eye Movement Analysis , 2010 .

[19]  F. J. Van Schaik,et al.  Assessment of visual cues by tower controllers, with implications for a remote tower control centre , 2010, IFAC HMS.

[20]  Anders Ynnerman,et al.  Interactive and Immersive 3D Visualization for ATC , 2005 .