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ADVICE: Decision Support for Complex Geospatial Decision Making Tasks

机译:建议:复杂地理空间决策任务的决策支持

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How can complex decisions, featuring multiple data sources and conflicting constraints, be supported by computer interfaces? We take a human factors approach to the problem by focusing on meeting users' cognitive decision making needs and addressing their perceptual challenges. An analysis of the historical trajectory of geospatial decision support reveals several issues and gaps. The configurable data overlay systems ubiquitous in weather forecasting and military command and control, that pass for decision support systems, require more and more mental effort of users with increases in the number and complexity of data sources. We lay out the design of a decision support system called ADVICE as a module that augments geospatial data overlay systems that allows users to reason about the impact of data. ADVICE possesses several task-centered features that apply the science of cognitive decision making to its interface. ADVICE allows users to build an integrated impact visualization that represents an appropriately weighted geospatial objective function for the decision at hand. Additional features provide the ability to compare the utility of different geospatial locations and regions, and intelligently explore the impacts of constraints. The system is also designed to meet the contextual control needs of users. That is, upfront user setup done in time-relaxed planning is handsomely repaid in execution, when time-pressured re-planning may be required. Although developed for geospatial decisions, the concepts are widely applicable to other types of decisions with multiple conflicting constraints.
机译:计算机界面如何支持具有多个数据源和冲突约束的复杂决策?我们专注于满足用户的认知决策需求并解决他们的感知挑战,因此采取了人为因素的方法。对地理空间决策支持的历史轨迹的分析揭示了一些问题和差距。在天气预报和军事指挥与控制中普遍存在的可配置数据覆盖系统通过了决策支持系统,随着数据源的数量和复杂性的增加,需要用户越来越多的精力。我们对称为ADVICE的决策支持系统的布局进行了设计,该模块作为增强地理空间数据叠加系统的模块,允许用户推理数据的影响。 ADVICE具有几个以任务为中心的功能,这些功能将认知决策科学应用于其界面。 ADVICE允许用户构建集成的影响可视化,该可视化代表了针对手头决策的适当加权的地理空间目标函数。附加功能使您能够比较不同地理空间位置和区域的效用,并智能地探索约束的影响。该系统还旨在满足用户的上下文控制需求。也就是说,当可能需要时间紧迫的重新计划时,在时间松散的计划中完成的前期用户设置可以在执行中得到丰厚的回报。尽管是为地理空间决策而开发的,但这些概念可广泛应用于具有多种冲突约束的其他类型的决策。

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