Supervisory guide part I: detecting gaps in UAV swarm operator situation awareness

Authors:
Florian Frische;Andreas Lüdtke
Affiliations:
OFFIS - Institute for Information Technology, Oldenburg, Lower Saxony, Germany;OFFIS - Institute for Information Technology, Oldenburg, Lower Saxony, Germany
Venue:
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Year:
2013

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Abstract

Experiments have shown that incorrect situation awareness (SA) is the major cause of human errors in different aviation domains. Many of these errors are caused by insufficient scanning of information leading to 'gaps' in SA. We envision developing an SA-based attention guidance system that eliminates SA-gaps of operators supervising a swarm of Unmanned Aerial Vehicles on-the-fly. This paper presents a novel, eye movement based technique for detecting SA-gaps, which we identified as the first development step of the envisioned system.