Show me your app usage and I will tell who your close friends are: Predicting user's context from simple cellphone activity

Alain Shema, Daniel E. Acuna

Research output: Chapter in Book/Entry/PoemConference contribution

6 Scopus citations

Abstract

Personal interactions using cell phones are so embedded in our everyday lives that they go almost unnoticed. We may try to protect ourselves from releasing sensitive information by increasing privacy protections, but how much can be inferred from our most basic phone usage? Using a largescale annotated dataset of cell phone usage, we build a predictor to determine location context (home, work, commute) and social relationships (with close friend, with family) based on the clock of the phone and sequences of apps executed. Surprisingly, we show that just using this basic information we can accurately predict whether someone is at home, at work, and/or with close friends, family. We note that this is almost inevitable because it only depends on using the phone and not the privacy settings. Our results suggest that our relationship with technology gives away more than we might suspect. This presents opportunities and challenges discussed in this paper.

Original languageEnglish (US)
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages2929-2935
Number of pages7
ISBN (Electronic)9781450346566
DOIs
StatePublished - May 6 2017
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: May 6 2017May 11 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
VolumePart F127655

Other

Other2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/TerritoryUnited States
CityDenver
Period5/6/175/11/17

Keywords

  • Cell phone usage
  • Cyber-human systems
  • Sequential decision making

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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