Smartphone app usage analysis: datasets, methods, and applications

T Li, T Xia, 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 …

Digital biomarkers for Alzheimer's disease: the mobile/wearable devices opportunity

LC Kourtis, OB Regele, JM Wright, GB Jones - NPJ digital medicine, 2019 - nature.com
Alzheimer's Disease (AD) represents a major and rapidly growing burden to the healthcare
ecosystem. A growing body of evidence indicates that cognitive, behavioral, sensory, and …

Do smartphone usage scales predict behavior?

DA Ellis, BI Davidson, H Shaw, K Geyer - International Journal of Human …, 2019 - Elsevier
Understanding how people use technology remains important, particularly when measuring
the impact this might have on individuals and society. However, despite a growing body of …

Smartphone sensing methods for studying behavior in everyday life

GM Harari, SR Müller, MSH Aung… - Current opinion in …, 2017 - Elsevier
Highlights•Smartphone Sensing Methods (SSMs) permit continuous and real-time
behavioral observation in the context of people's daily lives.•SSMs provide objective …

Ageism in the era of digital platforms

A Rosales, M Fernández-Ardèvol - Convergence, 2020 - journals.sagepub.com
Ageism is the most invisible form of discrimination. While there is some awareness of
gender, racial, and socioeconomic discrimination on digital platforms, ageism has received …

To what extent we repeat ourselves? Discovering daily activity patterns across mobile app usage

T Li, Y Li, MA Hoque, T Xia… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the prevalence of smartphones, people have left abundant behavior records in
cyberspace. Discovering and understanding individuals' cyber activities can provide useful …

Discovering different kinds of smartphone users through their application usage behaviors

S Zhao, J Ramos, J Tao, Z Jiang, S Li, Z Wu… - Proceedings of the …, 2016 - dl.acm.org
Understanding smartphone users is fundamental for creating better smartphones, and
improving the smartphone usage experience and generating generalizable and …

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 …

Effect of experience sampling schedules on response rate and recall accuracy of objective self-reports

N van Berkel, J Goncalves, L Lovén, D Ferreira… - International Journal of …, 2019 - Elsevier
Abstract The Experience Sampling Method is widely used to collect human labelled data in
the wild. Using this methodology, study participants repeatedly answer a set of questions …

Smartphone app usage prediction using points of interest

D Yu, Y Li, F Xu, P Zhang, V Kostakos - … of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
In this paper we present the first population-level, city-scale analysis of application usage on
smartphones. Using deep packet inspection at the network operator level, we obtained a …