Research on Efficient Perception Mechanism of Human-Computer Interface of Complex Information System Based on Intuitive Interaction

Aiming to address the problems of high cognitive load and low information perception efficiency of complex information system interfaces in manned/unmanned cooperative operations, this study proposes an interface optimization method based on the intuitive interaction paradigm. By constructing a three-dimensional information architecture containing state parameters of multiple target types, UAV behavioural intent parameters, and target situational parameters, we designed an intergroup control experiment between traditional and intuitive interfaces.The experiment adopted a simulated battlefield mission paradigm, and synchronously recorded operators' behavioural performances (response time, correctness rate), oculomotor characteristics (fixations hotspots, scanning paths), and electroencephalographic signals (θ/α band power, P300 amplitude) and combined with a multimodal data fusion analysis method to verify the interface optimisation effect. The results show that the intuitive interface can improve the situational awareness value, operational efficiency, task effectiveness, and reduce the NASA-TLX cognitive load score, which is significantly better than the traditional interface (p = 0.003)..The study also proposes design guidelines for complex information system interfaces: (1) Multi-target state parameters are encoded with dynamic highlighting, and multi-target tracking accuracy can be improved when a single-information carrier is embedded with ≤ 3 intuitive elements; (2) UAV intent parameters need to be designed differently based on semantic features, and flicker cues combined with colour stereotype encoding are adopted for preconditioned parameters, which can shorten the time of intent recognition; (3) Target situation parameters need to establish a local-global dynamic mapping mechanism, and iconized presentation can reduce the fixations dwell time compared to textual description. This study provides a theoretical basis for interface design of human-machine cooperative systems in dynamic battlefield environments.