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This study is motivated by two key considerations: the significant benefits mobile applications offer individuals and businesses, and the limited empirical research on usability challenges. To address this gap, we conducted structured…

Human-Computer Interaction · Computer Science 2025-06-03 Pawel Weichbroth

The integration of artificial intelligence (AI) into mobile applications has significantly transformed various domains, enhancing user experiences and providing personalized services through advanced machine learning (ML) and deep learning…

Software Engineering · Computer Science 2024-09-30 Yinghua Li , Xueqi Dang , Haoye Tian , Tiezhu Sun , Zhijie Wang , Lei Ma , Jacques Klein , Tegawendé F. Bissyandé

Mobile health apps hold great potential for promoting children's health and wellbeing. However, there is limited understanding of how these technologies are currently designed to support children with their health concerns or wellness…

Human-Computer Interaction · Computer Science 2023-08-02 Jamie Lee , Zhaoyuan Su , Yunan Chen

While mobile social apps have become increasingly important in people's daily life, we have limited understanding on what motivates users to engage with these apps. In this paper, we answer the question whether users' in-app activity…

Machine Learning · Computer Science 2019-06-04 Yozen Liu , Xiaolin Shi , Lucas Pierce , Xiang Ren

The COVID-19 pandemic has prompted countries around the world to introduce smartphone apps to support disease control efforts. Their purposes range from digital contact tracing to quarantine enforcement to vaccination passports, and their…

We are in the dawn of deep learning explosion for smartphones. To bridge the gap between research and practice, we present the first empirical study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit deep…

Machine Learning · Computer Science 2021-01-14 Mengwei Xu , Jiawei Liu , Yuanqiang Liu , Felix Xiaozhu Lin , Yunxin Liu , Xuanzhe Liu

The prevalence of smart mobile devices has promoted the popularity of mobile applications (a.k.a. apps). Supporting mobility has become a promising trend in software engineering research. This article presents an empirical study of…

Computers and Society · Computer Science 2017-03-23 Xuanzhe Liu , Huoran Li , Xuan Lu , Tao Xie , Qiaozhu Mei , Hong Mei , Feng Feng

Mobile users today interact with a variety of mobile device types including smartphones, tablets, smartwatches, and others. However research on mobile device type substitution has been limited in several respects including a lack of…

Human-Computer Interaction · Computer Science 2018-03-28 Benjamin Finley , Tapio Soikkeli

We study spatiotemporal correlations and temporal diversities of handset-based service usages by analyzing a dataset that includes detailed information about locations and service usages of 124 users over 16 months. By constructing the…

Physics and Society · Physics 2012-11-07 Hang-Hyun Jo , Márton Karsai , Juuso Karikoski , Kimmo Kaski

Mobile applications (apps) have become an essential part of everyday life, offering convenient access to services such as banking, healthcare, and shopping. With these apps handling sensitive personal and financial data, ensuring their…

Cryptography and Security · Computer Science 2024-08-20 Anthony Peruma , Timothy Huo , Ana Catarina Araújo , Jake Imanaka , Rick Kazman

Understanding the demographics of app users is crucial, for example, for app developers, who wish to target their advertisements more effectively. Our work addresses this need by studying the predictability of user demographics based on the…

Social and Information Networks · Computer Science 2016-03-02 Eric Malmi , Ingmar Weber

The rise of mobile apps has brought greater convenience and many options for users. However, many apps use analytics services to collect a wide range of user interaction data, with privacy policies often failing to reveal the types of…

Software Engineering · Computer Science 2024-01-17 Feiyang Tang , Bjarte M. Østvold

Smartphones, the devices we carry everywhere with us, are being heavily tracked and have undoubtedly become a major threat to our privacy. As "tracking the trackers" has become a necessity, various static and dynamic analysis tools have…

Cryptography and Security · Computer Science 2016-06-13 Jagdish Prasad Achara , Vincent Roca , Claude Castelluccia , Aurelien Francillon

We report a user study of over four months on the non-voice usage of mobile phones by teens from an underserved urban community in the USA where a community-wide, open-access Wi-Fi network exists. We instrumented the phones to record…

Human-Computer Interaction · Computer Science 2010-12-14 Ahmad Rahmati , Lin Zhong

Many accessibility features available on mobile platforms require applications (apps) to provide complete and accurate metadata describing user interface (UI) components. Unfortunately, many apps do not provide sufficient metadata for…

While smart mobile health apps that adapt to users' progressive individual needs are proliferating, many of them struggle to fulfill their promises due to an inferior user experience. Understanding the concerns of real-world users related…

Human-Computer Interaction · Computer Science 2022-08-24 Banafsheh Mohajeri , Jinghui Cheng

Prior studies on mobile app analysis often analyze apps across different categories or focus on a small set of apps within a category. These studies either provide general insights for an entire app store which consists of millions of apps,…

Software Engineering · Computer Science 2023-10-13 Bhagya Chembakottu , Heng Li , Foutse Khomh

The power of mobile devices has increased dramatically in the last few years. These devices are becoming more sophisticated allowing users to accomplish a wide variety of tasks while on the move. The increasingly mobile nature of business…

Human-Computer Interaction · Computer Science 2011-12-20 Derek Flood , Rachel Harrison , Kevin McDaid

Mobile games are extremely popular and engage millions of people every day. Even if they are often quite simple, their development features a high degree of difficulty and requires close attention to both achieve a high satisfaction from…

Computers and Society · Computer Science 2017-03-14 Daniele Grassi , Giacomo Barigazzi , Giacomo Cabri

We address the personalized policy learning problem using longitudinal mobile health application usage data. Personalized policy represents a paradigm shift from developing a single policy that may prescribe personalized decisions by…

Methodology · Statistics 2020-01-13 Xinyu Hu , Min Qian , Bin Cheng , Ying Kuen Cheung