Dipartimento di Ingegneria informatica, automatica e gestionale

Glider pilots are confronted with several challenges specific to this kind of flight, the major one being the need to maintain adequate separation from other gliders while still operating theaircraft effectively and safely. In this paper, we present an XR intelligent interface, GlideRX, to help pilots manage traffic awareness and prevent mid-air collisions. It allows for better support of situational awareness with respect to current collision warning systems currently available for gliders. The integration of data readings about surrounding aircraft, coupled with predictive algorithms on their trajectories and directions and a morphable representation of visual aids to help identify threats, enhances the situational awareness of the pilot and the management of risky conditions. We tested GlideRX efficacy and effectiveness through multiple evaluation activities, from a usage scenario to a quantitative task-driven experiment with real pilots in simulated conditions. Results show that GlideRX can effectively support a glider pilot in safely managing their flight during the increasing presence of air traffic. GlideRX is publicly available at: https://github.com/XAIber-lab/GlideRX.