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A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the ...

on YouTube 05m
Talkat UbiComp / ISWC 2020 · 2020-09-12..09-17· [developer-experience]

speakers

name:Seyma Kucukozer Cavdar
links:none on file
name:Tugba Taskaya-Temizel
links:none on file
name:Mirco Musolesi
links:none on file
name:Peter Tino
links:none on file

resources

video:https://youtu.be/cy4xL5wrN5Q
slides:none on file

summary

Study collects mobile app usage and ESM responses from 31 knowledge workers over 10 workdays with a custom sensing app and extracts features like app count, switches and categories to infer attentional state and engagement. Results show the number of switches between mobile applications in the last 45 minutes and the duration of application usage in the last 5 minutes are predictive, and multi-level Generalized Linear Mixed Models beat a random forest on sparse data, suggesting GLMM as cold-start solution for personalized notification timing.

AI-written summary · about

chapters (5)

  1. 0:00Introduction
  2. 1:16Objectives
  3. 2:03Experiment
  4. 3:13Research Framework
  5. 3:45Conclusion

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