Spatial cognition driven context-adaptive route directions
空间认知驱动的自适应路径引导

A route representation framework and its main implementation procedures are proposed for generating contextadaptive route directions, which could meet human cognitive habits, refl ect user's spatial knowledge, and is apt to be expressed in natural language. In the framework, a route is represented as a sequence of uniform temporal and various granular instruction units, which can be processed into route instruction phrases or sentences. For the implementation of context-adaptive route directions, landmark extraction, various granular instruction unit generation and most appropriate instruction unit sequence selection are introduced, while some contextual factors such as environmental structures, route characteristics and prior knowledge are also considered in these procedures. After compared with traditional route directions predominantly using distance-to-turn information, it can be found that the context-adaptive route directions based on spatial cognition is more conformable to the way people describe routes, and thus could decrease user's cognitive workload and promote the effi ciency of navigation systems.