ACT-R Modeling of Intelligence Analysts’ Perception of Information to Improve Situational Understanding

Eric G. Heilman, Justine P. Caylor, J. Richardson, Alexis R. Neigel, T. Hanratty
{"title":"ACT-R Modeling of Intelligence Analysts’ Perception of Information to Improve Situational Understanding","authors":"Eric G. Heilman, Justine P. Caylor, J. Richardson, Alexis R. Neigel, T. Hanratty","doi":"10.1109/COGSIMA.2018.8423985","DOIUrl":null,"url":null,"abstract":"For the military, one of the central challenges associated with developing good situational understanding originates with the information. The character of today’s battlefield features a high volume of information across multiple sources and threatens to overwhelm traditional methods of review.Confounding this effort is the fact that the information received often has varying degrees of agreement (i.e., complementary or contradictory). Timely review requires the development of automated assist methods that identify and prioritize the most valuable and applicable information for mission success. One method to improve military situational awareness and decisionmaking is the ability to amalgamate information across various sources and content. Towards this end, this paper presents the development and evaluation of an Adaptive Control of ThoughtRationale (ACT-R) model to understand the cognitive steps and processes employed by intelligence analysts as they value information.","PeriodicalId":231353,"journal":{"name":"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2018.8423985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

For the military, one of the central challenges associated with developing good situational understanding originates with the information. The character of today’s battlefield features a high volume of information across multiple sources and threatens to overwhelm traditional methods of review.Confounding this effort is the fact that the information received often has varying degrees of agreement (i.e., complementary or contradictory). Timely review requires the development of automated assist methods that identify and prioritize the most valuable and applicable information for mission success. One method to improve military situational awareness and decisionmaking is the ability to amalgamate information across various sources and content. Towards this end, this paper presents the development and evaluation of an Adaptive Control of ThoughtRationale (ACT-R) model to understand the cognitive steps and processes employed by intelligence analysts as they value information.
情报分析员信息感知的ACT-R模型以提高情境理解
对于军队来说,与发展良好的态势理解相关的核心挑战之一源于信息。当今战场的特点是跨越多个来源的大量信息,有可能压倒传统的审查方法。使这种努力复杂化的是,所收到的信息往往具有不同程度的一致性(即,互补或矛盾)。及时审查需要开发自动辅助方法,以识别和优先考虑任务成功的最有价值和最适用的信息。提高军事态势感知和决策能力的一种方法是整合各种来源和内容的信息的能力。为此,本文提出了思维理性的自适应控制(ACT-R)模型的发展和评估,以了解情报分析师在评估信息时所采用的认知步骤和过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信