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200 papers

The Experience Sampling Method (ESM) introduces in-situ sampling of human behaviour, and provides researchers and behavioural therapists with ecologically valid and timely assessments of a person's psychological state. This, in turn, opens…

Human-Computer Interaction · Computer Science 2015-08-18 Veljko Pejovic , Neal Lathia , Cecilia Mascolo , Mirco Musolesi

Digital contact tracing can limit the spread of infectious diseases. Nevertheless, there remain barriers to attaining sufficient adoption. In this study, we investigate how willingness to participate in contact tracing is affected by two…

Human-Computer Interaction · Computer Science 2022-10-25 Camellia Zakaria , Pin Sym Foong , Chang Siang Lim , Pavithren V. S. Pakianathan , Gerald Huat Choon Koh , Simon Tangi Perrault

Teens are using mobile devices for an increasing number of activities. Smartphones and a variety of mobile apps for communication, entertainment, and productivity have become an integral part of their lives. This mobile phone use has…

Human-Computer Interaction · Computer Science 2015-10-22 Frank Bentley , Karen Church , Beverly Harrison , Kent Lyons , Matthew Rafalow

Loneliness is a critical mental health issue among university students, yet traditional monitoring methods rely primarily on retrospective self-reports and often lack real-time behavioral context. This study explores the use of passive…

Human-Computer Interaction · Computer Science 2025-12-02 Qianjie Wu , Tianyi Zhang , Hong Jia , Simon D'Alfonso

Understanding how social situations unfold in people's daily lives is relevant to designing mobile systems that can support users in their personal goals, well-being, and activities. As an alternative to questionnaires, some studies have…

Human-Computer Interaction · Computer Science 2024-03-04 Aurel Ruben Mader , Lakmal Meegahapola , Daniel Gatica-Perez

Over the years, mobile phones have become versatile devices with a multitude of capabilities due to the plethora of embedded sensors that enable them to capture rich data unobtrusively. In a world where people are more conscious regarding…

Human-Computer Interaction · Computer Science 2021-01-05 Lakmal Meegahapola , Daniel Gatica-Perez

Smartphones, the ubiquitous mobile screens now normal parts of everyday social situations, have created a kind of ongoing natural experiment for social scientists. According to Garfinkel's ethnomethodology social action gets its meaning not…

Human-Computer Interaction · Computer Science 2019-10-28 Eerik Mantere

Electronic communication records provide detailed information about temporal aspects of human interaction. Previous studies have shown that individuals' communication patterns have complex temporal structure, and that this structure has…

Physics and Society · Physics 2014-03-05 Lauri Kovanen , Kimmo Kaski , János Kertész , Jari Saramäki

Understanding the spatiotemporal distribution of people within a city is crucial to many planning applications. Obtaining data to create required knowledge, currently involves costly survey methods. At the same time ubiquitous mobile…

Machine Learning · Statistics 2012-07-06 Jameson L. Toole , Michael Ulm , Dietmar Bauer , Marta C. Gonzalez

To study users' travel behaviour and travel time between origin and destination, researchers employ travel surveys. Although there is consensus in the field about the potential, after over ten years of research and field experimentation,…

Machine Learning · Computer Science 2021-10-27 Valentino Servizi , Francisco C. Pereira , Marie K. Anderson , Otto A. Nielsen

Notifications are one of the most prevailing mechanisms on smartphones and personal computers to convey timely and important information. Despite these benefits, smartphone notifications demand individuals' attention and can cause stress…

Human-Computer Interaction · Computer Science 2022-07-08 Judith S. Heinisch , Nan Gao , Christoph Anderson , Shohreh Deldari , Klaus David , Flora Salim

Smartphones have become an indispensable part of our daily life. Their improved sensing and computing capabilities bring new opportunities for human behavior monitoring and analysis. Most work so far has been focused on detecting…

Computers and Society · Computer Science 2016-01-18 Fani Tsapeli , Mirco Musolesi

The massive amounts of geolocation data collected from mobile phone records has sparked an ongoing effort to understand and predict the mobility patterns of human beings. In this work, we study the extent to which social phenomena are…

Physics and Society · Physics 2016-11-18 Nicolas Ponieman , Alejo Salles , Carlos Sarraute

Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately and extensively monitor and analyze these data is necessary. Much concern in mobile data analysis is…

Computers and Society · Computer Science 2020-09-01 Mohammadhossein Ghahramani , MengChu Zhou , Gang Wang

Digital technologies are reshaping how people experience their surroundings, often pulling focus toward virtual spaces and making it harder to stay present and engaged. Wearable augmented reality (AR), by embedding digital information into…

Human-Computer Interaction · Computer Science 2025-03-05 Tram Thi Minh Tran

Circadian rhythms are known to be important drivers of human activity and the recent availability of electronic records of human behaviour has provided fine-grained data of temporal patterns of activity on a large scale. Further,…

Using large-scale call detail records of anonymised mobile phone service subscribers with demographic and location information, we investigate how a long-distance residential move within the country affects the mobile communication patterns…

Social and Information Networks · Computer Science 2021-04-07 Mikaela Irene D. Fudolig , Daniel Monsivais , Kunal Bhattacharya , Hang-Hyun Jo , Kimmo Kaski

Background: Mobile phone sensor technology has great potential in providing behavioral markers of mental health. However, this promise has not yet been brought to fruition. Objective: The objective of our study was to examine challenges…

Computers and Society · Computer Science 2018-08-01 Tjeerd W Boonstra , Jennifer Nicholas , Quincy JJ Wong , Frances Shaw , Samuel Townsend , Helen Christensen

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

We present results from a longitudinal study of 34 iPh-one 3GS users, called LiveLab. LiveLab collected unprecedented usage data through an in-device, programmable logger and several structured interviews with the participants throughout…

Human-Computer Interaction · Computer Science 2011-06-28 Ahmad Rahmati , Clayton Shepard , Chad Tossell , Mian Dong , Zhen Wang , Lin Zhong , Philip Kortum