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

Pilot studies (ehealth) (325) mHealth for Data Collection and Research (1196) Mobile Health (mhealth) (3464) Wearable Devices and Sensors (1133) mHealth for Wellness, Behavior Change and Prevention (3315)

Published on in Vol 9 (2025)

This is a member publication of University of Washington

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78657, first published .
Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning Study

Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning Study

Detecting Perceived Unfair Treatment Among US College Students Using Mobile Sensing: Pilot Machine Learning Study

Authors of this article:

Yiyi Ren1 Author Orcid Image ;   Raghu Mulukutla2 Author Orcid Image ;   Jennifer Mankoff3 Author Orcid Image ;   Anind K Dey1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yiyi Ren   1 , MS ;   Raghu Mulukutla   2 , MS ;   Jennifer Mankoff   3 , PhD ;   Anind K Dey   1 , PhD

1 Information School, University of Washington, Seattle, WA, United States

2 College of Computing, Georgia Institute of Technology, Atlanta, GA, United States

3 Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, United States

Corresponding Author:

  • Yiyi Ren, MS
  • Information School
  • University of Washington
  • 1851 NE Grant Ln
  • Seattle, WA 98105
  • United States
  • Phone: 1 4123308417
  • Email: yren98@uw.edu