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首页> 外文期刊>International Journal of Information Technology & Decision Making >Key indicators for assessing the design of geocollaborative applications
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Key indicators for assessing the design of geocollaborative applications

机译:评估地质协作应用程序设计的关键指标

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摘要

A geocollaborative application integrates geographical information with collaboration support. Its implementation involves reasoning about the most adequate mix of technical features, human requirements and collaboration models. This paper proposes a framework for guiding and assessing the design of geocollaborative systems using a set of measurable indicators. We define five key indicators (KI): awareness, mobility, proximity, collaborative visualization and geographic relationships. These KI were derived from an extensive review of the state-of-the-art. The framework was validated in two case studies involving support to geologists working in the field and police agents evacuating crowded places. The case studies elucidate how the framework helps analyzing as-is and to-be collaborative scenarios, which constitute the design cycle posited by the design-science paradigm. This research is relevant to implementers in two ways: highlighting important qualities of geocollaboration systems and offering a structured mechanism to assess the design process.
机译:地理协作应用程序将地理信息与协作支持集成在一起。它的实施涉及对技术功能,人员需求和协作模型的最适当组合的推理。本文提出了一个使用一组可衡量指标来指导和评估地质协作系统设计的框架。我们定义了五个关键指标(KI):意识,移动性,亲近性,协作可视化和地理关系。这些KI源自对最新技术的广泛审查。该框架在两个案例研究中得到了验证,其中包括对在野外工作的地质学家的支持以及警察人员撤离拥挤场所的支持。案例研究阐明了该框架如何帮助按现状和将来进行协作的场景分析,这些场景构成了由设计科学范式提出的设计周期。这项研究在两个方面与实施者相关:突出地理协作系统的重要质量,并提供评估设计过程的结构化机制。

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