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Supporting Implicit Mobile Communication: Harnessing Ubiquitous Sensors for Context and Content to Support Social Connection.

机译:支持隐式移动通信:利用无处不在的传感器来检测上下文和内容,以支持社交联系。

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摘要

Sensors can provide massive amounts of data that can be used to inform individuals of their habits, histories, and provide insight into their personal behaviors. My research looks at expanding data usage beyond the individual, so that communities and relationships can benefit from these rich datasets. One of the big challenges in this space is to find a way to share automatically collected data in a meaningful way. Sharing automatically generated data is one of the few ways that technology can support true implicit interaction, yet it is easy for generated data to feel ``spam-like'' to the recipient, leading quickly to frustration and the ignoring of messages. To shed light in this area I have conducted research in three projects; a qualitative study of how people use traditional physical artifacts to support connection, the design and deployment of CoupleVIBE a hands-free, eyes-free implicit mobile location sharing for couples, and CitiSense a mobile air-quality system for collection and sharing in communities.
机译:传感器可以提供大量数据,这些数据可用于告知个人其习惯,历史并提供有关其个人行为的洞察力。我的研究着眼于将数据使用范围扩展到个人之外,以便社区和关系可以从这些丰富的数据集中受益。在这个领域中的最大挑战之一是找到一种以有意义的方式共享自动收集的数据的方法。共享自动生成的数据是技术支持真正的隐式交互的几种方法之一,但是生成的数据很容易让收件人感到``垃圾邮件'',从而导致沮丧和忽略消息。为了阐明这一领域,我在三个项目中进行了研究。对人们如何使用传统物理制品来支持连接的定性研究,对夫妇的设计和部署CoupleVIBE的免提,免眼的夫妇隐式移动位置共享,以及CitiSense一个用于社区收集和共享的移动空气质量系统。

著录项

  • 作者单位

    University of California, San Diego.;

  • 授予单位 University of California, San Diego.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 169 p.
  • 总页数 169
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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