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Personal informatics (PI) systems, powered by smartphones and wearables, enable people to lead healthier lifestyles by providing meaningful and actionable insights that break down barriers between users and their health information. Today,…

Computers and Society · Computer Science 2023-07-27 Sofia Yfantidou , Pavlos Sermpezis , Athena Vakali , Ricardo Baeza-Yates

Accurately analyzing and modeling online browsing behavior play a key role in understanding users and technology interactions. In this work, we design and conduct a user study to collect browsing data from 31 participants continuously for…

Computers and Society · Computer Science 2021-08-17 Yuliia Lut , Michael Wang , Elissa M. Redmiles , Rachel Cummings

Health trackers are widely adopted to support users with daily health and wellness tracking. They can help increase steps taken, enhance sleeping pattern, improve healthy diet, and promote overall health. Despite the growth in the adoption…

Computers and Society · Computer Science 2019-05-01 Ahmed Fadhil

Background: Many attempts to validate gait pipelines that process sensor data to detect gait events have focused on the detection of initial contacts only in supervised settings using a single sensor. Objective: To evaluate the performance…

Despite their importance for urban planning, traffic forecasting, and the spread of biological and mobile viruses, our understanding of the basic laws governing human motion remains limited thanks to the lack of tools to monitor the time…

Physics and Society · Physics 2009-11-13 M. C. Gonzalez , C. A. Hidalgo , A. -L. Barabasi

The study of human mobility patterns is a crucially important research field for its impact on several socio-economic aspects and, in particular, the measure of regularity patters of human mobility can provide a across-the-board view of…

Physics and Society · Physics 2021-04-20 Fabio Vanni , David Lambert

Anxiety disorders are the most common class of psychiatric problems affecting both children and adults. However, tools to effectively monitor and manage anxiety are lacking, and comparatively limited research has been applied to addressing…

Computers and Society · Computer Science 2020-08-11 Lionel Levine , Migyeong Gwak , Kimmo Karkkainen , Shayan Fazeli , Bita Zadeh , Tara Peris , Alexander Young , Majid Sarrafzadeh

Objective: This study aimed to explore the associations between depression severity and wearable-measured circadian rhythms, accounting for seasonal impacts and quantifying seasonal changes in circadian rhythms.Materials and Methods: Data…

Cellular phones are now offering an ubiquitous means for scientists to observe life: how people act, move and respond to external influences. They can be utilized as measurement devices of individual persons and for groups of people of the…

Physics and Society · Physics 2015-06-12 Shao-Meng Qin , Hannu Verkasalo , Mikael Mohtaschemi , Tuomo Hartonen , Mikko Alava

Changing dietary habits and keeping food diary encourages fewer calorie consumption, and thus weight loss. Studies have shown that people who keep food diary are more successful in losing weight and keeping it off. However, no study has…

Computers and Society · Computer Science 2019-04-18 Ahmed Fadhil

Timings of human activities are marked by circadian clocks which in turn are entrained to different environmental signals. In an urban environment the presence of artificial lighting and various social cues tend to disrupt the natural…

Physics and Society · Physics 2018-02-07 Daniel Monsivais , Asim Ghosh , Kunal Bhattacharya , Robin I. M Dunbar , Kimmo Kaski

Mobile health applications, including those that track activities such as exercise, sleep, and diet, are becoming widely used. Accurately predicting human actions is essential for targeted recommendations that could improve our health and…

Social and Information Networks · Computer Science 2018-02-27 Takeshi Kurashima , Tim Althoff , Jure Leskovec

Multiple Sclerosis (MS) is an unpredictable, often disabling disease that can adversely affect any body function; this often requires persons with MS to be active patients who are able to self-manage. There are currently thousands of health…

Human-Computer Interaction · Computer Science 2017-11-16 Guido Giunti , Estefania Guisado-Fernandez , Brian Caulfield

Human mobility patterns refer to the regularities and trends in the way people move, travel, or navigate through different geographical locations over time. Detecting human mobility patterns is essential for a variety of applications,…

Social and Information Networks · Computer Science 2023-05-23 Yisheng Alison Zheng , Abdallah Lakhdari , Amani Abusafia , Shing Tai Tony Lui , Athman Bouguettaya

Starting from the assumption that mood has a central role in domain-specific persuasion systems for well-being, the main goal of this study was to investigate the feasibility and acceptability of single-input methods to assess momentary…

Human-Computer Interaction · Computer Science 2023-02-07 Caterina Senette , Maria Claudia Buzzi , Maria Teresa Paratore

Mobile phone log data (e.g., phone call log) is not static as it is progressively added to day-by-day according to individ- ual's diverse behaviors with mobile phones. Since human behavior changes over time, the most recent pattern is more…

Computers and Society · Computer Science 2017-12-19 Iqbal H. Sarker , Muhammad Ashad Kabir , Alan Colman , Jun Han

Research on mobile phone use often starts with a question of "How much time users spend on using their phones?". The question involves an equal-length measure that captures the duration of mobile phone use but does not tackle the other…

Computers and Society · Computer Science 2017-11-28 Jonathan J. H. Zhu , Hexin Chen , Tai-Quan Peng , Xiao Fan Liu , Haixing Dai

The recent availability of digital traces generated by phone calls and online logins has significantly increased the scientific understanding of human mobility. Until now, however, limited data resolution and coverage have hindered a…

Physics and Society · Physics 2017-03-20 Laura Alessandretti , Piotr Sapiezynski , Sune Lehmann , Andrea Baronchelli

Longitudinal biomarker data and health outcomes are routinely collected in many studies to assess how biomarker trajectories predict health outcomes. Existing methods primarily focus on mean biomarker profiles, treating variability as a…

Ambulance services worldwide are of vital importance to population health. Timely responding to incidents by dispatching an ambulance vehicle to the location a call came from can offer significant benefits to patient care across a number of…

Computers and Society · Computer Science 2019-02-28 Gergana Todorova , Anastasios Noulas