Lazarowski Lucia, Krichbaum Sarah, DeGreeff Lauryn E, Simon Alison, Singletary Melissa, Angle Craig, Waggoner L Paul
Canine Performance Sciences Program, College of Veterinary Medicine, Auburn University, Auburn, AL, United States.
Department of Psychological Sciences, College of Liberal Arts, Auburn University, Auburn, AL, United States.
Front Vet Sci. 2020 Jul 17;7:408. doi: 10.3389/fvets.2020.00408. eCollection 2020.
Dogs are increasingly used in a wide range of detection tasks including explosives, narcotics, medical, and wildlife detection. Research on detection dog performance is important to understand olfactory capabilities, behavioral characteristics, improve training, expand deployment practices, and advance applied canine technologies. As such, it is important to understand the influence of specific variables on the quantification of detection dog performance such as test design, experimental controls, odor characteristics, and statistical analysis. Methods for testing canine scent detection vary influencing the outcome metrics of performance and the validity of results. Operators, management teams, policy makers, and law enforcement rely on scientific data to make decisions, design policies, and advance canine technologies. A lack of scientific information and standardized protocols in the detector dog industry adds difficulty and inaccuracies when making informed decisions about capability, vulnerability, and risk analysis. Therefore, the aim of this review is to highlight important methodological issues and expand on considerations for conducting scientifically valid detection dog research.
狗越来越多地被用于广泛的检测任务,包括爆炸物、麻醉品、医疗和野生动物检测。对检测犬性能的研究对于了解嗅觉能力、行为特征、改进训练、扩大部署实践以及推进应用犬类技术至关重要。因此,了解特定变量对检测犬性能量化的影响很重要,如测试设计、实验控制、气味特征和统计分析。测试犬类气味检测的方法各不相同,这会影响性能的结果指标和结果的有效性。操作人员、管理团队、政策制定者和执法部门依靠科学数据来做出决策、制定政策和推进犬类技术。检测犬行业缺乏科学信息和标准化协议,这在对能力、脆弱性和风险分析做出明智决策时增加了难度和不准确性。因此,本综述的目的是突出重要的方法学问题,并详细阐述进行科学有效的检测犬研究的注意事项。