首页> 外文期刊>Safety science >Intentional systems representations are useful alternatives to physical systems representations of fire-related human behavior
【24h】

Intentional systems representations are useful alternatives to physical systems representations of fire-related human behavior

机译:故意系统表示是与火相关的人类行为的物理系统表示的有用替代方法

获取原文
获取原文并翻译 | 示例
           

摘要

Fire safety engineering analyses have been mostly confined to describing how the physical environment causes the events, including human behavior, that comprise a fire incident. Despite the use of cognitive and information processing constructs to explain behaviors, the person remains a "black box" that generates behavioral responses when exposed to physical stimuli in the environment. These "physical systems representations" are well-suited to the prediction of some human behaviors, for example, travel times constrained by physical crowding. However, physical systems representations are ill-suited to the task of modeling cognitively-derived human behaviors, because the mediating effects of peoples' intentions result in behavioral responses that are poorly correlated with objective measures of environmental stimuli. Examples of such behavior are delays in initiating evacuations when people are exposed to alarm signals and other ambiguous signs of fire. Because research based on physical systems representations neglects to investigate how individuals use information in their pursuit of goals, the resulting models are often complicated, lack parsimony, and do not generalize well to new settings. This paper discusses how "intentional systems representations" can describe the cognitively derived responses of people in a more parsimonious manner, and can be used to design fire safety systems that capitalize on the adaptive abilities of people. (A fire safety system is viewed as being comprised of all relevant components, including people, that play significant roles in the defense against a fire threat.) In an intentional systems representation, events are driven by the goals that people pursue. Using the framework of physical versus intentional systems representations, various models of fire-related human behavior are reviewed and evaluated. Also discussed is recent research by Groner and Williamson (1998, Scenario-based goal decomposition: a method for implementing performance-based fire safety analysis. In: Proceedings of the Second International Conference on Fire Research and Engineering, 200-211) to develop an approach, called "Scenario-Based Goal Decomposition," whereby the performance of fire safety systems is analyzed by integrating physical and intentional views into a general systems approach. A pilot study is discussed that used this approach to describe and evaluate the predicted response of a fire safety system to a representative high-challenge fire scenario at a university library. It is also argued that systems approaches that integrate physical and intentional systems representations axe the only way to fully realize the potential of performance-based codes.
机译:消防安全工程分析主要限于描述物理环境如何导致构成火灾事件的事件(包括人类行为)。尽管使用认知和信息处理结构来解释行为,但该人仍然是“黑匣子”,当暴露于环境中的物理刺激时会产生行为反应。这些“物理系统表示”非常适合预测某些人类行为,例如,受身体拥挤限制的出行时间。但是,物理系统表示形式不适合对认知派生的人类行为进行建模的任务,因为人们意图的中介作用导致行为响应与环境刺激的客观测量值相关性很低。这种行为的例子是当人们暴露于警报信号和其他模糊的火灾迹象时,开始疏散的延迟。由于基于物理系统表示形式的研究忽视了调查个人如何在追求目标中使用信息,因此生成的模型通常很复杂,缺乏简约性,并且不能很好地推广到新的环境。本文讨论了“意图系统表示”如何以更简约的方式描述人们的认知派生反应,并可以用来设计利用人的适应能力的消防安全系统。 (消防安全系统被视为由所有相关组件组成,包括人员在内,在防御火灾威胁方面起着重要作用。)在故意的系统表示中,事件是由人们追求的目标驱动的。使用物理系统与有意系统表示的框架,对与火相关的人类行为的各种模型进行了审查和评估。还讨论了Groner和Williamson的最新研究(1998年,基于场景的目标分解:一种基于性能的消防安全分析方法。在:第二届国际消防研究与工程会议论文集200-211中)一种称为“基于场景的目标分解”的方法,通过将物理视图和故意视图整合到通用系统方法中来分析消防安全系统的性能。讨论了一项试点研究,该研究使用这种方法来描述和评估大学图书馆对消防安全系统对典型高挑战性火灾场景的预期响应。也有人认为,将物理和有意系统表示集成在一起的系统方法是完全实现基于性能的代码潜力的唯一途径。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号