BibTeX for papers by David Kotz; for complete/updated list see
https://www.cs.dartmouth.edu/~kotz/research/papers.html

@InProceedings{mishra:ema-workshop,
  author =        {Varun Mishra and Byron Lowens and Sarah Lord and Kelly Caine and David Kotz},
  title =         {{Investigating Contextual Cues As Indicators for EMA Delivery}},
  booktitle =     {{Proceedings of the International Workshop on Smart and Ambient Notification and Attention Management (UbiTtention)}},
  year =          2017,
  month =         {September},
  pages =         {935--940},
  publisher =     {ACM},
  copyright =     {ACM},
  location =      {Maui, Hawaii},
  DOI =           {10.1145/3123024.3124571},
  URL =           {https://www.cs.dartmouth.edu/~kotz/research/mishra-ema-workshop/index.html},
  abstract =      {In this work, we attempt to determine whether the contextual information of a participant can be used to predict whether the participant will respond to a particular EMA trigger. We use a publicly available dataset for our work, and find that by using basic contextual features about the participant's activity, conversation status, audio, and location, we can predict if an EMA triggered at a particular time will be answered with a precision of 0.647, which is significantly higher than a baseline precision of 0.41. Using this knowledge, the researchers conducting field studies can efficiently schedule EMAs and achieve higher response rates.},
}