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使用认知测量方法增强辅助犬和爆炸物探测犬的选拔

Enhanced Selection of Assistance and Explosive Detection Dogs Using Cognitive Measures.

作者信息

MacLean Evan L, Hare Brian

机构信息

School of Anthropology, University of Arizona, Tucson, AZ, United States.

Department of Psychology, University of Arizona, Tucson, AZ, United States.

出版信息

Front Vet Sci. 2018 Oct 4;5:236. doi: 10.3389/fvets.2018.00236. eCollection 2018.

Abstract

Working dogs play a variety of important roles, ranging from assisting individuals with disabilities, to explosive and medical detection work. Despite widespread demand, only a subset of dogs bred and trained for these roles ultimately succeed, creating a need for objective measures that can predict working dog aptitude. Most previous research has focused on temperamental characteristics of successful dogs. However, working dogs also face diverse cognitive challenges both in training, and throughout their working lives. We conducted a series of studies investigating the relationships between individual differences in dog cognition, and success as an assistance or detection dog. Assistance dogs ( = 164) and detection dogs ( = 222) were tested in the Dog Cognition Test Battery, a 25-item instrument probing diverse aspects of dog cognition. Through exploratory analyses we identified a subset of tasks associated with success in each training program, and developed shorter test batteries including only these measures. We then used predictive modeling in a prospective study with an independent sample of assistance dogs ( = 180), and conducted a replication study with an independent sample of detection dogs ( = 90). In assistance dogs, models using data on individual differences in cognition predicted higher probabilities of success for dogs that ultimately succeeded in the program, than for those who did not. For the subset of dogs with predicted probabilities of success in the 4th quartile (highest predicted probability of success), model predictions were 86% accurate, on average. In both the exploratory and prospective studies, successful dogs were more likely to engage in eye contact with a human experimenter when faced with an unsolvable task, or when a joint social activity was disrupted. In detection dogs, we replicated our exploratory findings that the most successful dogs scored higher on measures of sensitivity to human communicative intentions, and two measures of short term memory. These findings suggest that that (1) individual differences in cognition contribute to variance in working dog success, and (2) that objective measures of dog cognition can be used to improve the processes through which working dogs are evaluated and selected.

摘要

工作犬发挥着各种重要作用,从协助残疾人到爆炸物和医疗检测工作。尽管需求广泛,但为这些角色繁殖和训练的犬只中只有一部分最终成功,这就需要能够预测工作犬能力的客观指标。以前的大多数研究都集中在成功犬只的性情特征上。然而,工作犬在训练过程以及整个工作生涯中也面临着各种认知挑战。我们进行了一系列研究,调查犬只认知方面的个体差异与作为辅助犬或检测犬的成功之间的关系。辅助犬(n = 164)和检测犬(n = 222)接受了犬类认知测试电池组的测试,这是一个包含25个项目的工具,用于探究犬类认知的各个方面。通过探索性分析,我们确定了与每个训练项目成功相关的一组任务,并开发了仅包括这些指标的更短测试电池组。然后,我们在一项前瞻性研究中对一组独立的辅助犬样本(n = 180)使用了预测模型,并对一组独立的检测犬样本(n = 90)进行了重复研究。在辅助犬中,使用认知个体差异数据的模型预测,最终在项目中成功的犬只比未成功的犬只成功概率更高。对于预测成功概率处于第四四分位数(最高预测成功概率)的犬只子集,模型预测平均准确率为86%。在探索性研究和前瞻性研究中,成功的犬只在面对无法解决的任务或联合社交活动被打断时,更有可能与人类实验者进行眼神交流。在检测犬中,我们重复了探索性研究结果,即最成功的犬只在对人类交流意图的敏感度测量以及两项短期记忆测量中得分更高。这些发现表明:(1)认知方面的个体差异导致工作犬成功的差异;(2)犬类认知的客观指标可用于改进工作犬的评估和选拔过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fadb/6180148/fed9b3510c76/fvets-05-00236-g0001.jpg

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