Optimal strategies for collaborative visual search

在许多军事、医疗和工业行动中，单个操作员搜索和探测目标的能力是一个薄弱环节。然而，操作员团队即使在个人表现不佳的情况下也能表现良好。该项目旨在研究一种很有前景的新眼球跟踪技术，凝视链接，通过让每个人都知道对方在看什么，来帮助搜索者有效地合作。这项研究建立在信息处理的数学模型基础上，以确定优化凝视关联协作的策略，并有望制定培训凝视关联搜索者的原则。凝视链接提供了一种很有前途的、潜在的经济技术，可以改善人类的表现，提高各种任务的效率和安全性。

The ability of individual operators to search for and detect targets is a weak link in many military, medical, and industrial operations. Teams of operators, however, can perform well even when individuals do not. This project aims to investigate a promising new eye-tracking technique, gaze-linking, that helps searchers collaborate efficiently by allowing each to know where the other is looking. This research builds on mathematical models of information processing to identify strategies that optimise gaze-linked collaboration, and is expected to develop principles for training gaze-linked searchers. Gaze-linking offers a promising, and potentially economical, technique for improving human performance, increasing efficiency and safety in a variety of tasks.