结合认知任务分析和参与式设计方法来引出和表示任务流

IF 2.2 Q3 ENGINEERING, INDUSTRIAL Journal of Cognitive Engineering and Decision Making Pub Date : 2020-12-01 DOI:10.1177/1555343420976014
E. Papautsky, Robert V Strouse, Cindy Dominguez
{"title":"结合认知任务分析和参与式设计方法来引出和表示任务流","authors":"E. Papautsky, Robert V Strouse, Cindy Dominguez","doi":"10.1177/1555343420976014","DOIUrl":null,"url":null,"abstract":"Representations of step-by-step procedures, such as task flows, are developed and used to support technology design and evaluation as well as for training purposes in complex work domains. However, task flows may not represent how people carry out work under uncertainty, time pressure, or high-risk conditions. We combined methods of cognitive task analysis and participatory design, resulting in a new approach for developing task flows. This approach accounts for both cognitive and behavioral work and explicitly represents its dynamic nature. Additional advantages of this approach include flexibility and adaptiveness to help overcome challenges of conducting research in real-world domains, including time constraints and access to subject matter experts. We demonstrate this approach in the context of developing a task flow for a submarine watch team’s use of an updated imaging system to maintain the ship’s safety by forming and maintaining a picture of the external environment. We provide a detailed description of each phase as well as a domain-neutral ready-to-use job aid.","PeriodicalId":46342,"journal":{"name":"Journal of Cognitive Engineering and Decision Making","volume":"14 1","pages":"288 - 301"},"PeriodicalIF":2.2000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1177/1555343420976014","citationCount":"3","resultStr":"{\"title\":\"Combining Cognitive Task Analysis and Participatory Design Methods to Elicit and Represent Task Flows\",\"authors\":\"E. Papautsky, Robert V Strouse, Cindy Dominguez\",\"doi\":\"10.1177/1555343420976014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Representations of step-by-step procedures, such as task flows, are developed and used to support technology design and evaluation as well as for training purposes in complex work domains. However, task flows may not represent how people carry out work under uncertainty, time pressure, or high-risk conditions. We combined methods of cognitive task analysis and participatory design, resulting in a new approach for developing task flows. This approach accounts for both cognitive and behavioral work and explicitly represents its dynamic nature. Additional advantages of this approach include flexibility and adaptiveness to help overcome challenges of conducting research in real-world domains, including time constraints and access to subject matter experts. We demonstrate this approach in the context of developing a task flow for a submarine watch team’s use of an updated imaging system to maintain the ship’s safety by forming and maintaining a picture of the external environment. We provide a detailed description of each phase as well as a domain-neutral ready-to-use job aid.\",\"PeriodicalId\":46342,\"journal\":{\"name\":\"Journal of Cognitive Engineering and Decision Making\",\"volume\":\"14 1\",\"pages\":\"288 - 301\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1177/1555343420976014\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cognitive Engineering and Decision Making\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/1555343420976014\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cognitive Engineering and Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1555343420976014","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 3

摘要

逐步程序的表示,如任务流,被开发和用于支持技术设计和评估,以及用于复杂工作领域的培训目的。然而,任务流可能并不代表人们如何在不确定性、时间压力或高风险条件下开展工作。我们将认知任务分析和参与式设计相结合,形成了一种开发任务流的新方法。这种方法既考虑了认知工作,也考虑了行为工作,并明确地代表了其动态性质。这种方法的其他优势包括灵活性和适应性,有助于克服在现实世界领域进行研究的挑战,包括时间限制和接触主题专家。我们在为潜艇观察小组开发任务流程的背景下展示了这种方法,该任务流程使用更新的成像系统,通过形成和维护外部环境的图像来维护船只的安全。我们提供了每个阶段的详细描述,以及一个领域中立的随时可用的工作援助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Combining Cognitive Task Analysis and Participatory Design Methods to Elicit and Represent Task Flows
Representations of step-by-step procedures, such as task flows, are developed and used to support technology design and evaluation as well as for training purposes in complex work domains. However, task flows may not represent how people carry out work under uncertainty, time pressure, or high-risk conditions. We combined methods of cognitive task analysis and participatory design, resulting in a new approach for developing task flows. This approach accounts for both cognitive and behavioral work and explicitly represents its dynamic nature. Additional advantages of this approach include flexibility and adaptiveness to help overcome challenges of conducting research in real-world domains, including time constraints and access to subject matter experts. We demonstrate this approach in the context of developing a task flow for a submarine watch team’s use of an updated imaging system to maintain the ship’s safety by forming and maintaining a picture of the external environment. We provide a detailed description of each phase as well as a domain-neutral ready-to-use job aid.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.60
自引率
10.00%
发文量
21
期刊最新文献
Is the Pull-Down Effect Overstated? An Examination of Trust Propagation Among Fighter Pilots in a High-Fidelity Simulation A Taxonomy for AI Hazard Analysis Understanding Automation Failure Integrating Function Allocation and Operational Event Sequence Diagrams to Support Human-Robot Coordination: Case Study of a Robotic Date Thinning System Adapting Cognitive Task Analysis Methods for Use in a Large Sample Simulation Study of High-Risk Healthcare Events.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1