Psychology-Driven and AI-Neuroscientific Methods for Investigating Low-Altitude Flight Service Acceptance

This study aims to explore the multifaceted influencing factors of market acceptance and consumer behavior of low-altitude flight services through online surveys and advanced neuroscientific methods (such as functional magnetic resonance imaging fMRI, electroencephalography EEG, functional near-infrared spectroscopy fNIRS) combined with artificial intelligence and video advertisement quantitative analysis. We conducted an in-depth study of the current trends in low-altitude flight vehicle development and customer acceptance of low-altitude services, focusing particularly on the survey methods used for market acceptance. To overcome the influence of strong opinion leaders in volunteer group experiments, we designed specialized surveys targeting broader online and social media groups. Utilizing specialized knowledge in aviation psychology, we designed a distinctive questionnaire and, within just 7 days of its launch, gathered a significant number of valid responses. The data was then analyzed using AI to provide original, insightful data on the acceptance of low-altitude services. Furthermore, we addressed the limitations of traditional manual survey methods by designing an advanced system combining EEG and AI analysis to automatically generate surveys by measuring neural and physiological responses while subjects watched video advertisements for low-altitude services. Our research offers a comparison with existing online survey forms and proposes specific predictions to potentially improve the accuracy of online surveys.