Managing In-home Environments through Sensing, Annotating, and Visualizing Air Quality Data
作者: Jimmy MoorePascal GoffinMiriah MeyerPhilip LundriganNeal PatwariKatherine SwardJason Wiese
刊名: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2018, Vol.2 (3), pp.1-28
来源数据库: Association for Computing Machinery Journal
DOI: 10.1145/3264938
关键词: Air qualityAnnotationThematic analysisIn-home sensingLongitudinal deploymentPersonal informaticsUser engagement
原始语种摘要: Air quality is important, varies across time and space, and is largely invisible. Pioneering past work deploying air quality monitors in residential environments found that study participants improved their awareness of and engagement with air quality. However, these systems fielded a single monitor and did not support user-specified annotations, inhibiting their utility. We developed MAAV -- a system to Measure Air quality, Annotate data streams, and Visualize real-time PM2.5 levels -- to explore how participants engage with an air quality system addressing these challenges. MAAV supports collecting data from multiple air quality monitors, annotating that data through multiple modalities, and sending text message prompts when it detects a PM2.5 spike. MAAV also features an interactive...
全文获取路径: ACM  (合作)

  • quality 品质
  • through 经过
  • their 他们的
  • system 
  • residential 居住的
  • engagement 啮合
  • important 重要的
  • usage 使用率
  • integrate 积分
  • these 这些的