Today, mobile devices like smartphones and tablets have
become an indispensable part of people’s lives, posing
many new questions e.g., in terms of interaction methods,
but also security. In this paper, we conduct a large scale,
long term analysis of mobile device usage characteristics
like session length, interaction frequency, and daily usage
in locked and unlocked state with respect to location
context and diurnal pattern. Based on detailed logs from
29,279 mobile phones and tablets representing a total of
5,811 years of usage time, we identify and analyze 52.2
million usage sessions with some participants providing
data for more than four years. Our results show that
context has a highly significant effect on both frequency
and extent of mobile device usage, with mobile phones being
used twice as much at home compared to in the office.
Interestingly, devices are unlocked for only 46% of the
interactions. We found that with an average of 60
interactions per day, smartphones are used almost thrice as
often as tablet devices (23), while usage sessions on
tablets are three times longer, hence are used almost for
an equal amount of time throughout the day. We conclude
that usage session characteristics differ considerably
between tablets and smartphones. These results inform
future approaches to mobile interaction as well as
security.
@article{Hintze_17_LargeScaleLong, author = {Hintze, Daniel and Hintze, Philipp and Findling, Rainhard Dieter and Mayrhofer, Ren\'e}, title = {A Large-Scale, Long-Term Analysis of Mobile Device Usage Characteristics}, journal = {Proc.\ ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies}, year = {2017}, volume = {1}, number = {2}, month = jun, doi = {10.1145/3090078}, keywords = {Daily interactions, Device unlocking, Locked usage, Session length, Smartphone, Tablet, Usage session, User context}, url = {https://dl.acm.org/citation.cfm?id=3090078} }