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In this paper, we explore a new way to provide context-aware assistance for indoor navigation using a wearable vision system. We investigate how to represent the cognitive knowledge of wayfinding based on first-person-view videos in real-time and how to provide context-aware navigation instructions in a human-like manner. Inspired by the human cognitive process of wayfinding, we propose a novel cognitive model that represents visual concepts as a hierarchical structure. It facilitates efficientdoi:10.1145/2628363.2628390 dblp:conf/mhci/XuLLTMW14 fatcat:etutrfgqivazlc43f76v7zo2ri