多用户,多模态语义认知沉浸式环境与面向任务的对话系统

Shannon Briggs, Samuel Chabot, Abraham Sanders, Matthew Peveler, T. Strzalkowski, J. Braasch
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引用次数: 0

摘要

本文是一篇概念性论文,探讨了智能分析师在认知沉浸式环境中完成的意义生成过程如何受到渐进式对话系统的影响。智能分析领域的工具为语义制造室(认知沉浸式环境中的特定实例)中启用的工具提供信息。我们探讨了渐进式对话系统如何影响诸如协作头脑风暴练习等工具的使用[1]。这些结构化的分析技术在智能分析训练文献中已经很好地建立起来,并且作为访问目标用户的认知模式的方法,当他们使用认知沉浸式房间并通过语义构建过程移动时。先前的一项用户研究表明,在使用数字头脑风暴工具时,意义制造室鼓励用户更简洁、更有代表性的信息。我们预计,渐进式对话功能的添加将使分析人员在信息采集和意义生成行为之间建立更紧密的联系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiuser, multimodal sensemaking cognitive immersive environment with a task-oriented dialog system
This paper is a conceptual paper that explores how the sensemaking process by intelligence analysts completed within a cognitive immersive environment might be impacted by the inclusion of a progressive dialog system. The tools enabled in the sensemaking room (a specific instance within the cognitive immersive environment) were informed by tools from the intelligence analysis domain. We explore how a progressive dialog system would impact the use of tools such as the collaborative brainstorming exercise [1]. These structured analytic techniques are well established in intelligence analysis training literature, and act as ways to access the intended users' cognitive schema as they use the cognitive immersive room and move through the sensemaking process. A prior user study determined that the sensemaking room encouraged users to be more concise and representative with information while using the digital brainstorming tool. We anticipate that addition of the progressive dialog function will enable a more cohesive link between information foraging and sensemaking behaviors for analysts.
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