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运动过程中大规模公民科学游戏中的模式演变。

The evolution of patterning during movement in a large-scale citizen science game.

机构信息

Department of Psychology, University of Essex, Wivenhoe House, Colchester CO4 3SQ, UK.

FoAM Kernow, Penryn TR10 8AE, UK.

出版信息

Proc Biol Sci. 2021 Jan 13;288(1942):20202823. doi: 10.1098/rspb.2020.2823.

Abstract

The motion dazzle hypothesis posits that high contrast geometric patterns can cause difficulties in tracking a moving target and has been argued to explain the patterning of animals such as zebras. Research to date has only tested a small number of patterns, offering equivocal support for the hypothesis. Here, we take a genetic programming approach to allow patterns to evolve based on their fitness (time taken to capture) and thus find the optimal strategy for providing protection when moving. Our 'Dazzle Bug' citizen science game tested over 1.5 million targets in a touch screen game at a popular visitor attraction. Surprisingly, we found that targets lost pattern elements during evolution and became closely background matching. Modelling results suggested that targets with lower motion energy were harder to catch. Our results indicate that low contrast, featureless targets offer the greatest protection against capture when in motion, challenging the motion dazzle hypothesis.

摘要

运动致眩假说认为,高对比度的几何图案可能会导致跟踪移动目标的困难,并且有人认为这种图案可以解释斑马等动物的图案形成。迄今为止,研究只测试了少数几种模式,对该假说的支持存在争议。在这里,我们采用遗传编程的方法,让图案根据其适应性(捕获目标所需的时间)进化,从而找到在移动时提供保护的最佳策略。我们的“致眩虫”公民科学游戏在一个受欢迎的旅游景点的触摸屏游戏中测试了超过 150 万个目标。令人惊讶的是,我们发现目标在进化过程中失去了图案元素,变得与背景非常匹配。建模结果表明,运动能量较低的目标更难捕捉。我们的研究结果表明,当目标处于运动状态时,低对比度、无特征的目标能提供最大的保护,这对运动致眩假说提出了挑战。

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