纱线:通过结构化的故事叙述为共享的个人数据添加意义

Daniel A. Epstein, Mira Dontcheva, J. Fogarty, Sean A Munson
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引用次数: 7

摘要

当人们在社交网站上分享通过Fitbit、Strava和Swarm等个人跟踪工具收集的数据时,往往得不到他们想要的反应。尽管有些人通过密切的联系或找到在线社区成功地进行了分享,但大多数受众表现出有限的兴趣,很少回应。我们报告了一个以人为中心的设计过程的发现,该过程旨在研究跟踪工具如何更好地支持人们使用他们的数据讲述他们的故事。23个形成性访谈有助于讲述成就故事的设计目标,包括需要包含相关数据。我们在Yarn中实现了这些目标,这是一个移动应用程序,它提供了讲述跑步比赛训练和完成自己动手项目的成就故事的结构。21名参与者在两项研究中使用Yarn 4周。尽管Yarn的结构让一些参与者在他们创造的时刻中加入了更多的数据或解释,但许多人觉得这种结构阻碍了他们以自己想要的方式讲述自己的故事。根据参与者的使用情况,我们将讨论使用个人数据向感兴趣的受众提供信息和定位的其他挑战。
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Yarn: Adding Meaning to Shared Personal Data through Structured Storytelling
People often do not receive the reactions they desire when they use social networking sites to share data collected through personal tracking tools like Fitbit, Strava, and Swarm. Although some people have found success sharing with close connections or in finding online communities, most audiences express limited interest and rarely respond. We report on findings from a human-centered design process undertaken to examine how tracking tools can better support people in telling their story using their data. 23 formative interviews contribute design goals for telling stories of accomplishment, including a need to include relevant data. We implement these goals in Yarn, a mobile app that offers structure for telling stories of accomplishment around training for running races and completing Do-It-Yourself projects. 21 participants used Yarn for 4 weeks across two studies. Although Yarn’s structure led some participants to include more data or explanation in the moments they created, many felt like the structure prevented them from telling their stories in the way they desired. In light of participant use, we discuss additional challenges to using personal data to inform and target an interested audience.
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