AR Direction-Giving System by Using a Human-Likely Embodied Agent

Abstract

The map-based direction-giving systems in mobile devices have been widely used, but it is not easy for some users to convert a two dimensional map to their three dimensional surroundings. In this paper, to achieve more intuitive direction-giving, we propose a mobile direction-giving system that employs a human-likely embodied agent depicted in Augmented Reality (AR). We also investigate the effects of two types of gesture use, which come from the different speaker’s perspective (survey and route perspective), on user understanding. We compared the direction-givings when the agent’s gestures were generated in survey perspective and when the agent’s gestures were generated in route perspective. The results showed that participants in survey perspective remembered more than the participants did in route perspective.