Smartphone app usage analysis: datasets, methods, and applications

T Li, T **a, H Wang, Z Tu, S Tarkoma… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
As smartphones have become indispensable personal devices, the number of smartphone
users has increased dramatically over the last decade. These personal devices, which are …

[HTML][HTML] Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis …

K Opoku Asare, Y Terhorst, J Vega… - JMIR mHealth and …, 2021 - mhealth.jmir.org
Background Depression is a prevalent mental health challenge. Current depression
assessment methods using self-reported and clinician-administered questionnaires have …

[HTML][HTML] Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: A longitudinal data analysis

KO Asare, I Moshe, Y Terhorst, J Vega, S Hosio… - Pervasive and Mobile …, 2022 - Elsevier
Depression is a prevalent mental disorder. Current clinical and self-reported assessment
methods of depression are laborious and incur recall bias. Their sporadic nature often …

Understanding the long-term evolution of mobile app usage

T Li, Y Fan, Y Li, S Tarkoma… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The prevalence of smartphones has promoted the popularity of mobile apps in recent years.
Although significant effort has been made to understand mobile app usage, existing studies …

[HTML][HTML] Acceptability of the COVID-19 contact-tracing app–does culture matter?

MD Dzandu, B Pathak, S De Cesare - Government Information Quarterly, 2022 - Elsevier
During the pandemic, several countries deployed contact-tracing apps in order to contain or
reduce the community spread of COVID-19. However, the success rate in terms of …

Does smartphone use drive our emotions or vice versa? A causal analysis

Z Sarsenbayeva, G Marini, N van Berkel… - Proceedings of the …, 2020 - dl.acm.org
In this paper, we demonstrate the existence of a bidirectional causal relationship between
smartphone application use and user emotions. In a two-week long in-the-wild study with 30 …

[HTML][HTML] When phones get personal: Predicting Big Five personality traits from application usage

E Peltonen, P Sharmila, KO Asare, A Visuri… - Pervasive and Mobile …, 2020 - Elsevier
As smartphones are increasingly an integral part of daily life, recent literature suggests a
deeper relationship between personality traits and smartphone usage. However, this …

” what apps did you use?”: Understanding the long-term evolution of mobile app usage

T Li, M Zhang, H Cao, Y Li, S Tarkoma… - Proceedings of the web …, 2020 - dl.acm.org
The prevalence of smartphones has promoted the popularity of mobile apps in recent years.
Although significant effort has been made to understand mobile app usage, existing studies …

A large-scale investigation into geodifferences in mobile apps

R Kumar, A Virkud, RS Raman, A Prakash… - 31st USENIX Security …, 2022 - usenix.org
Recent studies on the web ecosystem have been raising alarms on the increasing
geodifferences in access to Internet content and services due to Internet censorship and …

Examining the" global" language of emojis: Designing for cultural representation

P Kimura-Thollander, N Kumar - … of the 2019 CHI conference on human …, 2019 - dl.acm.org
Emojis are becoming an increasingly popular mode of communication between individuals
worldwide, with researchers claiming them to be a type of" ubiquitous language''that can …