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Wearable devices offer detailed sleep-tracking data. However, whether this information enhances our understanding of sleep or simply quantifies already-known patterns remains unclear. This work explores the relationship between subjective…

Human-Computer Interaction · Computer Science 2025-07-30 Peter Neigel , David Antony Selby , Shota Arai , Benjamin Tag , Niels van Berkel , Sebastian Vollmer , Andrew Vargo , Koichi Kise

Wearable devices that measure and record physiological signals are now becoming widely available to the general public with ever-increasing affordability and signal quality. The data from these devices introduce serious ethical challenges…

Computers and Society · Computer Science 2024-05-27 Keith Davis , Tuukka Ruotsalo

The rapid evolution of wearable technology marks a transformative phase in human-computer interaction, seamlessly integrating digital functionality into daily life. This paper explores the historical trajectory, current advancements, and…

Human-Computer Interaction · Computer Science 2025-02-13 David Pearl , James Intriligator , Xuanjiang Liu

Recent developments in sensing technologies have enabled us to examine the nature of human social behavior in greater detail. By applying an information theoretic method to the spatiotemporal data of cell-phone locations, [C. Song et al.…

Physics and Society · Physics 2011-10-04 Taro Takaguchi , Mitsuhiro Nakamura , Nobuo Sato , Kazuo Yano , Naoki Masuda

Excessive use of smartphones is a worldwide known issue. In this study, we proposed a notification-based intervention approach to reduce smartphone overuse without making the user feel any annoyance or irritation. Most of the work in this…

Human-Computer Interaction · Computer Science 2025-07-22 Partha Sarker , Dipto Dey , Marium-E-Jannat

Ineffective meetings are pervasive. Thinking ahead explicitly about meeting goals may improve effectiveness, but current collaboration platforms lack integrated support. We tested a lightweight goal-reflection intervention in a…

Human-Computer Interaction · Computer Science 2026-02-20 Lev Tankelevitch , Ava Elizabeth Scott , Nagaravind Challakere , Payod Panda , Sean Rintel

Fitness trackers - wearables that continuously record a wearer's step count and related activity data - are quickly gaining in popularity. Apart from being useful for individuals seeking a more healthy lifestyle, their data is also being…

Cryptography and Security · Computer Science 2016-04-13 Jakob Rieck

Today's societies are enveloped in an ever-growing telecommunication infrastructure. This infrastructure offers important opportunities for sensing and recording a multitude of human behaviors. Human mobility patterns are a prominent…

Computers and Society · Computer Science 2016-10-18 Piotr Sapiezynski , Arkadiusz Stopczynski , David Kofoed Wind , Jure Leskovec , Sune Lehmann

The study of biomechanics during locomotion provides valuable insights into the effects of varying conditions on specific movement patterns. This research focuses on examining the influence of different shoe parameters on walking…

Personal health devices can enable continuous monitoring of health parameters. However, the benefit of these devices is often directly related to the frequency of use. Therefore, adherence to personal health devices is critical. This paper…

Computers and Society · Computer Science 2020-06-11 Sudip Vhaduri , Temiloluwa Prioleau

Consistent physical inactivity poses a major global health challenge. Mobile health (mHealth) interventions, particularly Just-in-Time Adaptive Interventions (JITAIs), offer a promising avenue for scalable, personalized physical activity…

We describe an empirical study of the usage of a mobility self-tracking app, SensibleJournal 2014, which provides personal mobility information to N=796 participants as part of a large mobile sensing study. Specifically, we report on the…

Computers and Society · Computer Science 2016-08-08 Georgios Chatzigeorgakidis , Andrea Cuttone , Sune Lehmann , Jakob Eg Larsen

The quality of sleep has a deep impact on people's physical and mental health. People with insufficient sleep are more likely to report physical and mental distress, activity limitation, anxiety, and pain. Moreover, in the past few years,…

Machine Learning · Computer Science 2024-05-30 Meghna Singh , Saksham Goel , Abhiraj Mohan , Jaideep Srivastava

In today's connected society, self-tracking technologies (STTs), such as wearables and mobile fitness apps, empower humans to improve their health and well-being through ubiquitous physical activity monitoring, with several personal and…

Human-Computer Interaction · Computer Science 2023-11-09 Sofia Yfantidou , Georgia Yfantidou , Panagiota Balaska , Athena Vakali

Seating location in the classroom can affect student engagement, attention and academic performance by providing better visibility, improved movement, and participation in discussions. Existing studies typically explore how traditional…

Human-Computer Interaction · Computer Science 2022-07-26 Nan Gao , Mohammad Saiedur Rahaman , Wei Shao , Kaixin Ji , Flora D. Salim

As wearable technologies continue to evolve-becoming smaller, more powerful, and more deeply embedded in daily life-their integration into diverse user contexts raises critical design challenges. There remains a notable gap in large-scale…

Human-Computer Interaction · Computer Science 2025-10-01 Joanna Sorysz , Lars Krupp , Dominique Nshimyimana , Meagan B. Loerakker , Bo Zhou , Paul Lukowicz , Jakob Karolus

Information sharing on social networks is ubiquitous, intuitive, and occasionally accidental. However, people may be unaware of the potential negative consequences of disclosures, such as reputational damages. Yet, people use social…

Human-Computer Interaction · Computer Science 2022-07-07 Yefim Shulman , Agnieszka Kitkowska , Joachim Meyer

The coupling of human movement dynamics with the function and design of wearable assistive devices is vital to better understand the interaction between the two. Advanced neuromuscular models and optimal control formulations provide the…

Robotics · Computer Science 2018-04-10 Manish Sreenivasa , Matthew Millard , Paul Manns , Katja Mombaur

Advances in commercial wearable devices are increasingly facilitating the collection and analysis of everyday physiological data. This paper discusses the theoretical and practical aspects of using such ambulatory devices for the detection…

Applications · Statistics 2019-10-15 Amit Birenboim , Martin Dijst , Floortje Scheepers , Maartje Poelman , Marco Helbich

Wearable devices have the potential to enhance sports performance, yet they are not fulfilling this promise. Our previous studies with 6 professional tennis coaches and 20 players indicate that this could be due the lack of psychological or…

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