J. Waters, B. Plutchak, J. Pilcher, Arne Odland, David Jones
{"title":"A Dynamic Agile Process Model for situational awareness","authors":"J. Waters, B. Plutchak, J. Pilcher, Arne Odland, David Jones","doi":"10.1109/COGSIMA.2016.7497797","DOIUrl":null,"url":null,"abstract":"This position paper describes how a proposed Dynamic Agile Process Model (DAPM) can be a useful representation of situational awareness. The traditional definitions of situational awareness are highly conceptual and text-based, intended for human consumption, so a simpler, more specific machine-understandable definition is needed for computer processing. At its simplest, the authors suggest that situational awareness can be considered the intersection of processes. If the processes can be represented effectively and efficiently in a computer representation, then so can situational awareness. The Dynamic Agile Process Model (DAPM) has certain characteristics, including both static and dynamic aspects, as well as fractal characteristics such as self-similarity, complexity built from simplicity, and optimized information flow, which seem to match the similar characteristics of situational awareness. Using this process model, situational awareness can be represented in a manner amenable to machine processing for applications such as planning, training, command and control, intelligence, surveillance and reconnaissance, and after-action analysis. The authors are beginning to explore enabling situational awareness in smart avatars using this model for these applications in the SPAWAR Systems Center BEMR lab: Battlespace Exploitation of Mixed Reality. For more information or to participate or join the Advanced Exploitation of Mixed Reality (AEMR) Community of Interest, please send an email to BEMR@spawar.navy.mil.","PeriodicalId":194697,"journal":{"name":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2016.7497797","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This position paper describes how a proposed Dynamic Agile Process Model (DAPM) can be a useful representation of situational awareness. The traditional definitions of situational awareness are highly conceptual and text-based, intended for human consumption, so a simpler, more specific machine-understandable definition is needed for computer processing. At its simplest, the authors suggest that situational awareness can be considered the intersection of processes. If the processes can be represented effectively and efficiently in a computer representation, then so can situational awareness. The Dynamic Agile Process Model (DAPM) has certain characteristics, including both static and dynamic aspects, as well as fractal characteristics such as self-similarity, complexity built from simplicity, and optimized information flow, which seem to match the similar characteristics of situational awareness. Using this process model, situational awareness can be represented in a manner amenable to machine processing for applications such as planning, training, command and control, intelligence, surveillance and reconnaissance, and after-action analysis. The authors are beginning to explore enabling situational awareness in smart avatars using this model for these applications in the SPAWAR Systems Center BEMR lab: Battlespace Exploitation of Mixed Reality. For more information or to participate or join the Advanced Exploitation of Mixed Reality (AEMR) Community of Interest, please send an email to BEMR@spawar.navy.mil.
本文描述了动态敏捷过程模型(Dynamic Agile Process Model, DAPM)是如何有效地表示态势感知的。传统的态势感知定义是高度概念化的、基于文本的,旨在供人类使用,因此需要一个更简单、更具体的机器可理解的定义来供计算机处理。简单地说,作者认为态势感知可以被认为是过程的交集。如果过程可以在计算机表示中有效和高效地表示,那么态势感知也可以。动态敏捷过程模型(Dynamic Agile Process Model, DAPM)具有静态和动态两方面的特征,以及自相似、由简单生成复杂、信息流优化等分形特征,这些特征似乎与态势感知的相似特征相匹配。使用该过程模型,态势感知可以以一种适合机器处理的方式表示,用于计划、训练、指挥和控制、情报、监视和侦察以及行动后分析等应用。在SPAWAR系统中心BEMR实验室:混合现实的战场空间开发,作者开始探索在这些应用中使用该模型在智能化身中实现态势感知。欲了解更多信息或参与或加入混合现实高级开发(AEMR)兴趣社区,请发送电子邮件至BEMR@spawar.navy.mil。