TY - GEN
T1 - Show me your app usage and I will tell who your close friends are
T2 - 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
AU - Shema, Alain
AU - Acuna, Daniel E.
N1 - Publisher Copyright:
Copyright © 2017 by the Association for Computing Machinery, Inc. (ACM).
PY - 2017/5/6
Y1 - 2017/5/6
N2 - 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.
AB - 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.
KW - Cell phone usage
KW - Cyber-human systems
KW - Sequential decision making
UR - http://www.scopus.com/inward/record.url?scp=85019601508&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85019601508&partnerID=8YFLogxK
U2 - 10.1145/3027063.3053275
DO - 10.1145/3027063.3053275
M3 - Conference contribution
AN - SCOPUS:85019601508
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 2929
EP - 2935
BT - CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 6 May 2017 through 11 May 2017
ER -