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Incorporating Human and Machine Interpretation of Unavailability and Rhythm Awareness Into the Design of Collaborative Applications

机译:将不可用性和节奏意识的人机解释纳入协同应用程序的设计中

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摘要

Efficient coordination of collaboration requires sharing information about collaborators' current and future availability. We describe the usage of an awareness system called Awarenex that shared real-time awareness information to help coordinate activities at the current moment. We also developed a prototype called Lilsys that used sensors to gather additional awareness information that would help avoid disruptions when users are currently unavailable for interaction. Our experiences over time in designing and using prototypes that share awareness cues for current availability led us to identify temporal patterns that could help predict future reachability. Rhythm awareness is having a sense of regularly recurring temporal patterns that can help coordinate interactions among collaborators. Rhythm awareness is difficult to establish within distributed groups that are separated by distance and time zone. We describe rhythmic temporal patterns observed in activity data collected from users of the Awarenex prototype. Analyzing logs of Awarenex usage over time enabled us to construct a computational model of temporal patterns. We explored how to apply those patterns and model to predict future reachability among distributed team members. We discuss trade-offs in the design of collaborative applications that rely on human- and machine-interpretation of rhythm awareness cues. We also conducted a design study that elicited reactions to a variety of end-user visualizations of rhythmic patterns and investigated how well our computational model characterized their everyday routines.
机译:高效的协作协调需要共享有关协作者当前和将来可用性的信息。我们描述了一种称为Awarenex的意识系统的用法,该系统共享实时意识信息,以帮助协调当前的活动。我们还开发了一个名为Lilsys的原型,该原型使用传感器收集其他意识信息,这将有助于避免在用户当前无法进行交互时造成干扰。我们在设计和使用共享对当前可用性有感知提示的原型的过程中积累的经验使我们确定了可以帮助预测未来可达性的时间模式。节奏意识具有定期重复的时间模式的感觉,可以帮助协调协作者之间的互动。在由距离和时区分开的分布式组中,很难建立起节奏意识。我们描述了从Awarenex原型用户收集的活动数据中观察到的节奏性时空模式。分析Awarenex使用记录随时间的变化,使我们能够构建时间模式的计算模型。我们探索了如何应用这些模式和模型来预测分布式团队成员之间的未来可达性。我们讨论在协作应用程序设计中的权衡,这些应用程序依赖于对节奏意识线索的人机解释。我们还进行了一项设计研究,引起了各种最终用户对节奏模式的可视化反应,并调查了我们的计算模型如何很好地描述了他们的日常工作。

著录项

  • 来源
    《Human-computer interaction》 |2007年第2期|p.7-45|共39页
  • 作者

    James Bo Begole; John C. Tang;

  • 作者单位

    Ubiquitous Computing Area in the Computer Science Laboratory of the Palo Alto Research Center;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 心理学;
  • 关键词

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