Social Interaction with an "Unidentified Moving Object" Elicits A-Not-B Error in Domestic Dogs.
Social Interaction with an "Unidentified Moving Object" Elicits A-Not-B Error in Domestic Dogs.
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DOI：
10.1371/journal.pone.0151600
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发表时间：
2016
期刊：
影响因子：
3.7
通讯作者：
Miklósi Á
中科院分区：
文献类型：
--
作者：
Gergely A;Compton AB;Newberry RC;Miklósi Á
机械“不明移动物体”（UMO）是有用的控制调查的社会互动的功能，产生合作和积极的社会关系，在国内的狗（犬）。我们假设，如果一个UMO社会互动与狗，UMO将成为与某些社会线索，并随后影响狗的行为。我们将狗分配给人类，社会UMO或非社会UMO合作伙伴。在人类和社会UMO条件下，合作伙伴与狗合作，而非社会UMO合作伙伴对狗的行动没有反应。然后，我们测试了狗与他们的合作伙伴在皮亚杰的A-非B错误范例，预测人类和社会UMO合作伙伴将更有可能引发A-非B错误的狗比非社会UMO合作伙伴。进行了五次试验，其中狗看着它的伴侣将球藏在两个屏幕（A或B）之一后面。正如预测的那样，在人类和社会UMO条件下的狗在B试验期间比在非社会UMO条件下的狗更可能在A屏幕后面搜索球。这些结果表明，不熟悉的合作伙伴的社会反应导致迅速接受合作伙伴所传达的信息。这项研究已经产生了一个更好的理解，促进狗的社会行为，这将有利于编程的机器人的各种合作任务的代理的关键特征。
Mechanical “unidentified moving objects” (UMO’s) are useful for controlled investigations into features of social interaction that generate cooperativeness and positive social affiliation in domestic dogs (Canis familiaris). We hypothesized that, if a UMO interacted socially with a dog, the UMO would become associated with certain social cues and would subsequently affect dog behaviour. We assigned dogs to a Human, Social UMO or Non-Social UMO partner. In the Human and Social UMO conditions, the partner interacted with the dog cooperatively whereas the Non-Social UMO partner was unresponsive to the dog’s actions. We then tested dogs with their partner in a Piagetian A-not-B error paradigm, predicting that the Human and Social UMO partners would be more likely to elicit A-not-B errors in dogs than the Non-Social UMO partner. Five trials were conducted in which the dog watched its partner hide a ball behind one of two screens (A or B). As predicted, dogs in the Human and Social UMO conditions were more likely to search for the ball behind the A screen during B trials than dogs in the Non-Social UMO condition. These results reveal that the unfamiliar partner’s social responsiveness leads rapidly to accepting information communicated by the partner. This study has generated a better understanding of crucial features of agents that promote dog social behaviour, which will facilitate the programming of robots for various cooperative tasks.