Abstract:

Based on SEEV model and two modes of human information processing,a quantitative research on the impact factors of pilot's attention allocation is conducted on head-up display (HUD). An image fromHUD interface model explored by GL Studio and Vega Prime is input to the improved ITTI model to determine the local salience of the image,meanwhile,the image salience is measured by gray value of pixel. Value and expectancy,the two factors of SEEV model,are quantified by focus analysis of attention allocation on HUD in the final approach and landing phases. Data show that the expectancy value is consistent to the ordinal ranking system. The value is compared to the data of Beringer's questionnaire,indicating that quantifying value with focus analysis of attention allocation is simple and effective. The quantification of pilot's attention impact factors in the current research will not only provide the scientific proof for HUD design,but also build foundation for attention allocation model.

Key words: SEEV model, head-up display, attention allocation, quantitative factor