Research on Information Delivery Strategies in Complex Environments

To address the challenges of cognitive load and scenario adaptability in multi-channel information delivery under complex environments, this study explores optimized multimodal interaction strategies within an aviation task context. Methodologically, a simulated pilot radar target detection experiment was conducted with 30 aviation students under variables including noise levels $(\mathrm{4 5 d B} / \mathrm{8 0 d B})$, screen quantities ($3 / 4 / 5$), and delivery modes (graphics, text, voice combinations). Multidimensional metrics-eye-tracking data, task performance (reaction time, accuracy), and subjective load (NASA-TLX, 3D-SART)-were collected. Key findings include: 1) Auditory channels reduce visual cognitive load in multi-screen scenarios (minimum NASA-TLX: 54.40); 2) Redundant graphic-text designs enhance situational awareness in high-noise conditions (3D-SART peak: 6.1); 3) Graphic-voice integration optimizes efficiency under time pressure (minimum completion time: 3777 ms); 4) Multi-channel combinations (graphic+voice+text) significantly improve attention allocation in low-noise environments (mean: 5.5). The study proposes a hierarchical strategy: redundancy for high noise, auditory reliance for multi-screen tasks, and prioritization of graphic/voice delivery under time constraints. These findings provide empirical support for adaptive information delivery in complex environments.