多靶随机搜索模型与搜索性能

A Probability Model for Multiple Target Random Search

人类视觉搜索的过程实际上是用视力角（ｖｉｓｕａｌｌｏｂｅ）去覆盖搜索场景的过程。而搜索模式通常可分为系统搜索和随机搜索。实验发现，当搜索条件相对困难时，参试者多数倾向于进行随机搜索。本研究从概率论的观点提出了关于多靶随机搜索效率的数学模型，经过精心选定有关参数，数学模型与实验结果较好地拟合。

uman visual search includes two interacting processes: A cover process (“look') and a vision process (“see') . The fundamental strategies for human visual search of a 2D scene include systematic and random cover patterns. Based on the experiment results, when search conditions are relative dificult, searchers usually conducted a random search. A probability formula for modelling random search performance is discussed in this paper. When the parameters are properly seleted, this model fits the experiment data quite well.