University of Southern Denmark, Denmark.
University of Auckland, New Zealand.
Hum Factors. 2018 Mar;60(2):141-159. doi: 10.1177/0018720817743851. Epub 2018 Jan 23.
Objective The objective was to develop an understanding, using the Functional Resonance Analysis Method (FRAM), of the factors that could cause a deer hunter to misidentify their intended target. Background Hunting is a popular activity in many communities. However, hunters vary considerably based on training, experience, and expertise. Surprisingly, safety in hunting has not received much attention, especially failure-to-identify hunting incidents. These are incidents in which the hunter, after spotting and targeting their quarry, discharge their firearm only to discover they have been spotting and targeting another human, an inanimate object, or flora by mistake. The hunter must consider environment, target, time of day, weather, and many other factors-continuously evaluating whether the hunt should continue. To understand how these factors can relate to one another is fundamental to begin to understand how incidents happen. Method Workshops with highly experienced and active hunters led to the development of a FRAM model detailing the functions of a "Hunting FRAM." The model was evaluated for correctness based on confidential and anonymous near-miss event submissions by hunters. Results A FRAM model presenting the functions of a hunt was produced, evaluated, and accepted. Using the model, potential sources of incidents or other unintended outcomes were identified, which in turn helped to improve the model. Conclusion Utilizing principles of understanding and visualization tools of the FRAM, the findings create a foundation for safety improvements potentially through training or safety messages based on an increased understanding of the complexity of hunting.
目的 运用功能共振分析方法(FRAM),了解可能导致猎鹿者误认目标的因素。 背景 狩猎在许多社区都是一项很受欢迎的活动。然而,猎人们的训练、经验和专业知识差异很大。令人惊讶的是,狩猎安全并没有得到太多关注,尤其是误击事件。这些事件是指猎人在发现并瞄准猎物后,开枪射击,却发现他们瞄准的是另一个人、无生命的物体或植物。猎人必须考虑环境、目标、一天中的时间、天气和许多其他因素,并不断评估是否应该继续狩猎。了解这些因素是如何相互关联的,对于开始理解事件的发生至关重要。 方法 通过与经验丰富、积极参与狩猎的猎人合作举办研讨会,开发了一个详细描述“狩猎 FRAM”功能的 FRAM 模型。该模型根据猎人提交的机密和匿名的险些事故事件进行了正确性评估。 结果 提出、评估并接受了一个呈现狩猎功能的 FRAM 模型。通过使用该模型,确定了潜在的事故或其他意外结果的来源,从而有助于改进模型。 结论 通过运用 FRAM 的理解原理和可视化工具,这些发现为安全改进提供了基础,可能通过培训或安全信息来实现,这是基于对狩猎复杂性的更深入理解。