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Albiziapp: A Gamified Tool Dedicated to Tree Mapping

机译:Albiziapp:专门用于树图的游戏化工具

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Identification and mapping of trees through a Geo Collaborative Inventory (GCI) platform is an important task for research in botany, citizen sciences and education. The quantity and veracity of the recorded data rely mainly on the motivation and engagement of each participant. However, for a non-botanist, tree mapping can be perceived as an unstructured and tedious task that requires advanced skills. In addition, existing GCI applications deliver poor or nonexistent feedbacks regarding identification and mapping skills as well as progression in these skills. Structuring GCI sessions and enhancing them with game mechanics and clear objectives may have a positive effect on the inventory quality. Inventory situations being highly context dependant, a descriptive model of the GCI task is required to create adapted activity scenarios usable in various situations. This paper presents Albiziapp: a web collaborative and mobile tool, based on OpenSteetMap, that operationalizes any gamified scenario, consistent with a descriptive model built from a structural analysis of the GCI task.
机译:通过地理协作清单(GCI)平台识别和绘制树木图是植物学,公民科学和教育研究的重要任务。记录数据的数量和准确性主要取决于每个参与者的动机和参与度。但是,对于非植物学家而言,树映射可以被认为是需要高级技能的无结构且繁琐的任务。此外,现有的GCI应用程序会提供有关识别和制图技能以及这些技能进展的差劲或不存在的反馈。组织GCI会议并通过游戏机制和明确的目标对其进行增强可能会对库存质量产生积极影响。库存情况高度依赖于上下文,因此需要GCI任务的描述性模型来创建可在各种情况下使用的适应性活动情况。本文介绍了Albiziapp:这是一个基于OpenSteetMap的网络协作和移动工具,可对任何游戏化场景进行操作,并与根据GCI任务的结构分析所建立的描述性模型相一致。

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