Challenges and Lessons from Working with Data Collected by Crowdfunding in the Wild
暂无分享,去创建一个
[1] Vinayak S. Naik,et al. Use of ECDF-based features and ensemble of classifiers to accurately detect mobility activities of people using accelerometers , 2017, 2017 9th International Conference on Communication Systems and Networks (COMSNETS).
[2] Michael S. Bernstein,et al. Twitch crowdsourcing: crowd contributions in short bursts of time , 2014, CHI.
[3] Matthias Budde,et al. Participatory Sensing or Participatory Nonsense? , 2017 .
[4] Jorge Gonçalves,et al. Predicting interruptibility for manual data collection: a cluster-based user model , 2017, MobileHCI.
[5] Michael Beigl,et al. Preliminary investigations about interruptibility of smartphone users at specific place types , 2016, UbiComp Adjunct.
[6] Mirco Musolesi,et al. InterruptMe: designing intelligent prompting mechanisms for pervasive applications , 2014, UbiComp.