This study employs a subjective evaluation approach to assess the interaction efficacy of multichannel avionics systems in simulated pilot landing tasks. Focusing on the F-18 Digital Display Indicator (DDI) and Up Front Control (UFC) panels, two experimental sessions were designed: a manual mode requiring pilots to operate without automated assistance and an automated mode integrating HUD-linked waypoint navigation, glide slope guidance, and auto-switching functionalities. Subjective workload metrics were captured using a modified NASA Task Load Index (NASA-TLX) questionnaire, complemented by objective data on task completion time, heading stability, and head movement frequency. Results revealed that Session 2 significantly reduced subjective workload scores while improving task efficiency. The integration of DDI/UFC systems demonstrated enhanced interaction ergonomics, as evidenced by reduced cognitive strain and optimized visual attention allocation. These findings validate the critical role of subjective assessment in evaluating human-machine interface designs and provide actionable insights for refining cockpit interaction strategies in high-stakes aviation environments.

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Subjective Evaluation of Multichannel Avionics Interaction for Pilot Landing Tasks

  • Fulong Jing,
  • Lin Li,
  • Zhong Liu,
  • Yue Wang,
  • Ke Li

摘要

This study employs a subjective evaluation approach to assess the interaction efficacy of multichannel avionics systems in simulated pilot landing tasks. Focusing on the F-18 Digital Display Indicator (DDI) and Up Front Control (UFC) panels, two experimental sessions were designed: a manual mode requiring pilots to operate without automated assistance and an automated mode integrating HUD-linked waypoint navigation, glide slope guidance, and auto-switching functionalities. Subjective workload metrics were captured using a modified NASA Task Load Index (NASA-TLX) questionnaire, complemented by objective data on task completion time, heading stability, and head movement frequency. Results revealed that Session 2 significantly reduced subjective workload scores while improving task efficiency. The integration of DDI/UFC systems demonstrated enhanced interaction ergonomics, as evidenced by reduced cognitive strain and optimized visual attention allocation. These findings validate the critical role of subjective assessment in evaluating human-machine interface designs and provide actionable insights for refining cockpit interaction strategies in high-stakes aviation environments.