This paper is in the following e-collection/theme issue:

Social Anxiety Disorder (SAD) (51) Special Issue on Computing and Mental Health (2018) (33) Ecological Momentary Assessment (EMA) (321)

Published on in Vol 5, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10101, first published .
Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study

Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study

Predicting Social Anxiety From Global Positioning System Traces of College Students: Feasibility Study

Authors of this article:

Mehdi Boukhechba1 Author Orcid Image ;   Philip Chow2 Author Orcid Image ;   Karl Fua2 Author Orcid Image ;   Bethany A Teachman2 Author Orcid Image ;   Laura E Barnes1 Author Orcid Image
Article Authors Cited by (64) Tweetations (16) Metrics

Journals

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  28. Wang Z, Xiong H, Zhang J, Yang S, Boukhechba M, Zhang D, Barnes L, Dou D. From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet of Things Journal 2022;9(17):15413 View
  29. Jiang J, Meng Q, Ji J. Combining Music and Indoor Spatial Factors Helps to Improve College Students’ Emotion During Communication. Frontiers in Psychology 2021;12 View
  30. Dong G, Tang M, Wang Z, Gao J, Guo S, Cai L, Gutierrez R, Campbel B, Barnes L, Boukhechba M. Graph Neural Networks in IoT: A Survey. ACM Transactions on Sensor Networks 2023;19(2):1 View
  31. Lee K, Lee T, Yefimova M, Kumar S, Puga F, Azuero A, Kamal A, Bakitas M, Wright A, Demiris G, Ritchie C, Pickering C, Nicholas Dionne-Odom J. Using digital phenotyping to understand health-related outcomes: A scoping review. International Journal of Medical Informatics 2023;174:105061 View
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Books/Policy Documents

  1. Hur J, Stockbridge M, Fox A, Shackman A. Emotion and Cognition. View
  2. Boukhechba M, Barnes L. Advances in Usability, User Experience, Wearable and Assistive Technology. View
  3. Psathas A, Papaleonidas A, Iliadis L. Computational Collective Intelligence. View
  4. Garatva P, Terhorst Y, Messner E, Karlen W, Pryss R, Baumeister H. Digital Phenotyping and Mobile Sensing. View
  5. Mansoor H, Gerych W, Alajaji A, Buquicchio L, Chandrasekaran K, Agu E, Rundensteiner E. Computer Vision, Imaging and Computer Graphics Theory and Applications. View
  6. Mondragón-González S, Burguière E, N’diaye K. Machine Learning for Brain Disorders. View