“I Must Try Harder”: Design Implications for Mobile Apps and Wearables Contributing to Self-Efficacy of Patients With Chronic Conditions
Author(s): Sharon WulfovichMaddalena FiordelliHomero RivasWaldo ConcepcionKatarzyna Wac Abstract: Background: Diverse wellness-promoting mobile health technologies, including mobile apps and wearable trackers, became increasingly popular due to their ability to...
A Quantified-Self Framework for Exploring and Enhancing Personal Productivity
Author(s): White, GaryLiang, ZiluClarke, Siobhan Abstract: A variety of self-Tracking applications and devices have been developed in recent years to support users in tracking their weight, calories eaten, physical activities, sleep and productivity. The availability...
Adapting Mobile and Wearable Technology to Provide Support and Monitoring in Rehabilitation for Dementia: Feasibility Case Series
Author(s): Julia ThorpeBirgitte Hysse ForchhammerAnja M Maier Abstract: Background: Mobile and wearable devices are increasingly being used to support our everyday lives and track our behavior. Since daily support and behavior tracking are two core components of...
A Comparative Study of Engagement in Mobile and Wearable Health Monitoring for Bipolar Disorder
Author(s): Kaela Van Til, Melvin G. McInnis, Amy Cochran Abstract: Objectives Self-monitoring is recommended for individuals with bipolar disorder, with numerous technological solutions available. This study aimed to identify basic components of these solutions that...
Making sense with numbers. Unravelling ethico‐psychological subjects in practices of self‐quantification
Author(s): Pols, JeannetteWillems, DickAanestad, Margunn Abstract: Prevention enthusiasts show great optimism about the potential of health apps to modify peoples’ lifestyles through the tracking and quantification of behaviours and bodily signs. Critical sociologists...
Empowerment through digital health trackers: an exploration of Indigenous Australian women and physical activity in leisure settings
Author(s): Hazel Maxwell Michelle O’Shea Megan Stronach Sonya Pearce Abstract: Drawing on a strengths-based empowerment approach and Indigenous traditions of ‘yarning’, this research explores how digital health technologies might contribute to Indigenous Australian...
Integrating social scientific perspectives on the quantified employee self
Author(s): Calvard, Thomas Abstract: A key technological trend in big data science is that of the quantified self, whereby individuals can self-track their health and well-being using various sources of information. The aim of this article was to integrate...
“You Have to Know Why You’re Doing This”: A Mixed Methods Study of the Benefits and Burdens of Self-Tracking in Parkinson’s Disease
Author(s): Sara Riggare Therese Scott Duncan Helena Hvitfeldt Maria Hägglund Abstract: Background This study explores opinions and experiences of people with Parkinson’s disease (PwP) in Sweden of using self-tracking. Parkinson’s disease (PD) is a neurodegenerative...
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Author(s): Agarwal, Shivang Terrail, Jean Ogier Du Jurie, Frédéric Abstract: Object detection-the computer vision task dealing with detecting instances of objects of a certain class (e.g., 'car', 'plane', etc.) in images-attracted a lot of attention from the community...
The quantified-self archive: documenting lives through self-tracking data
Author(s): Trace, Ciaran B.Zhang, Yan Abstract: Purpose: The purpose of this article is to examine the ways in which self-tracking data have meaning and value in and after the life of the creator, including how such data could become part of the larger historical...