Habitsourcing: Sensing the Environment through Immersive, Habit-Building Experiences
Habitsourcing: Sensing the Environment through Immersive, Habit-Building Experiences
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习惯外包：通过沉浸式习惯养成体验感知环境
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Haoqi Zhang
中科院分区：
文献类型：
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作者：
Katherine Lin;Henry Spindell;S. Cambo;Yongsung Kim;Haoqi Zhang
公民科学和社区感知应用程序允许日常公民收集有关物理世界的数据，以造福科学和社会。然而，尽管取得了成功，目前的方法仍然受到愿意并能够贡献有用数据的领域感兴趣的志愿者数量的限制。在本文中，我们介绍了habitsourcing，一种利用数百万人的习惯建立实践来收集环境数据的替代方法。为了支持habitsourcing应用程序的设计和开发，我们提出了（1）交互技术和设计原则，通过驱动感测，一种从提示交互中获取感测数据的方法;和（2）ExperienceKit，一个iOS库，可以让开发人员轻松构建和测试habitsourcing应用程序。在两个实验中，我们证明了我们的两个概念验证应用程序，ZenWalk和Zombies Interactive，与非数据收集应用程序相比，我们可以使用简单的检测技术有效地提取环境数据。
Citizen science and communitysensing applications allow everyday citizens to collect data about the physical world to benefit science and society. Yet despite successes, current approaches are still limited by the number of domain-interested volunteers who are willing and able to contribute useful data. In this paper we introduce habitsourcing, an alternative approach that harnesses the habit-building practices of millions of people to collect environmental data. To support the design and development of habitsourcing apps, we present (1) interaction techniques and design principles for sensing through actuation, a method for acquiring sensing data from cued interactions; and (2) ExperienceKit, an iOS library that makes it easy for developers to build and test habitsourcing applications. In two experiments, we show that our two proof-of-concept apps, ZenWalk and Zombies Interactive, compare favorably to their non-data collecting counterparts, and that we can effectively extract environmental data using simple detection techniques.