Empirical study of a pedestrian navigation method for user's safe and easy wayfinding based on quantitative estimation of landmark's effectiveness

为了减少步行导航用户的焦虑，我们提出了一种路线规划算法，该算法权衡用户的定位自己的当前位置的难度以及总的物理距离的课程。通过在原路径距离代价的基础上增加每个交叉口的定位时间，扩展了路径评价的代价函数。基于路标有效性评价函数，对交叉口的经过时间进行了估计。这些功能是根据参与者的认知实验收集的数据构建的。认知实验与原型系统进行了实际数据的评估修改后的功能。结果表明，所获得的函数与实验数据非常吻合，表明改进的方法对于路线步行时间的估计是有用的。实证研究表明了建议方法的有效性。

In order to reduce anxiety of pedestrian navigation users, we have proposed a route planning algorithm, which weighs user's difficulty of locating own current position as well as total physical distance of courses. The cost function for evaluating routes is expanded by adding elapsed time of locating each intersection to the original cost of route distance. The elapsed time at an intersection is estimated based on valuation functions of effectiveness of landmarks. The functions were constructed based on data collected through cognitive experiments with participants. Cognitive experiments with a prototype system were conducted to acquire actual data for evaluation of the modified functions. The results indicate that the functions acquired are quite fit to the data of the experiments, and suggest that the modified method is useful for estimating walking time for routes. This empirical study shows the validity of the proposal method.