Influences of demographic, seasonal, and social factors on automated touchscreen computer use by rhesus monkeys (Macaca mulatta) in a large naturalistic group
Influences of demographic, seasonal, and social factors on automated touchscreen computer use by rhesus monkeys (Macaca mulatta) in a large naturalistic group
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DOI：
10.1371/journal.pone.0215060
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发表时间：
2019-04-24
期刊：
影响因子：
3.7
通讯作者：
Hampton, Robert R.
中科院分区：
文献类型：
--
作者：
Gazes, Regina Paxton;Lutz, Meredith C.;Hampton, Robert R.
在自然主义社会群体中饲养的动物可以获得自动认知测试，它们是否参与认知测试以及参与程度各不相同。了解人口，季节和社会因素如何与参与有关，对于评估这些系统在研究认知和评估所产生的数据方面的有用性至关重要。我们评估了如何性别，年龄，生殖经验，季节性和等级相关的模式参与一个自然组的恒河猴在4年的时间。女性与触摸屏系统的互动比男性多，更有可能完成初始培训。年龄与女性青春期的触摸屏活动呈正相关，在这一点上，季节性和生殖经验是参与的更强关联。虽然不同等级的猴子在与触摸屏系统互动的程度上没有差异，但不同等级的猴子往往不会在同一时间工作，这可能反映了低等级的猴子对高等级动物的回避。自动认知测试系统的自然主义社会群体的恒河猴可以产生高质量的认知数据，从个人的所有年龄和等级，但参与偏见可能会很难研究性别差异或认知的季节性变化。
Animals housed in naturalistic social groups with access to automated cognitive testing vary in whether and how much they participate in cognitive testing. Understanding how demographic, seasonal, and social factors relate to participation is essential to evaluating the usefulness of these systems for studying cognition and in assessing the data produced. We evaluated how sex, age, reproductive experience, seasonality, and rank related to patterns of participation in a naturalistic group of rhesus monkeys over a 4-year period. Females interacted with the touchscreen systems more than males and were more likely to complete initial training. Age was positively correlated with touchscreen activity through adolescence in females, at which point seasonality and reproductive experience were stronger associates of participation. While monkeys in different rank categories did not differ in how much they interacted with the touchscreen systems, monkeys of different ranks tended not to work at the same times, perhaps reflecting avoidance of high ranking animals by those of lower rank. Automated cognitive testing systems for naturalistic social groups of rhesus monkeys can yield quality cognitive data from individuals of all ages and ranks, but participation biases may make it difficult to study sex differences or seasonal variation in cognition.