Crepe: A Mobile Screen Data Collector Using Graph Query

要旨

Collecting mobile screen information datasets remains challenging for academic researchers. Commercial organizations often have exclusive access to mobile data, leading to a “data monopoly” that restricts academic research and user transparency. Existing open-source mobile data collection frameworks primarily focus on mobile sensing data rather than screen content. We present Crepe, a no-code Android app that enables researchers to collect information displayed on screen through simple demonstrations of target data. Crepe utilizes a novel Graph Query technique, which augments mobile UI structures to support flexible identification, location, and collection of specific data pieces. The tool emphasizes participants' privacy and agency by providing full transparency over collected data and allowing easy opt-out. We designed and built Crepe for research purposes only and in scenarios where researchers obtain explicit consent from participants. Code for Crepe will be open-sourced to support future academic research data collection.

受賞
Honorable Mention
著者
Yuwen Lu
University of Notre Dame, Notre Dame, Indiana, United States
Meng Chen
University of California, Berkeley, Berkeley, California, United States
Qi Zhao
Indiana University-Purdue University Indianapolis, Indianapolis, Indiana, United States
Victor Cox
University of Notre dame, Notre dame, Indiana, United States
Yang Yang
University of Notre Dame, Notre Dame, Indiana, United States
Meng Jiang
University of Notre Dame, Notre Dame, Indiana, United States
Jay Brockman
University of Notre Dame, Notre Dame, Indiana, United States
Tamara Kay
University of Notre Dame, Notre Dame, Indiana, United States
Toby Jia-Jun. Li
University of Notre Dame, Notre Dame, Indiana, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Collaborating with AI

Auditorium
7 件の発表
2026-04-14 18:00:00
2026-04-14 19:30:00