Defining Adherence: Making Sense of Physical Activity Tracker Data
Author(s): Lie Ming TangJochen MeyerDaniel A. EpsteinKevin BraggLina Engelen Abstract: Increasingly, people are collecting detailed personal activity data from commercial trackers. Such data should be able to give important insights about their activity levels....
Wearable and Implantable Sensors for Biomedical Applications
Author(s): Koydemir, Hatice CeylanOzcan, Aydogan Abstract: Mobile health technologies offer great promise for reducing healthcare costs and improving patient care. Wearable and implantable technologies are contributing to a transformation in the mobile health era in...
Co-evolving with self-tracking technologies
Author: Kristensen, Dorthe Brogård Ruckenstein, Minna Abstract: Seen in a longitudinal perspective, Quantified Self-inspired self-tracking sets up “a laboratory of the self,” where people co-evolve with technologies. By exploring ways in which self-tracking...
Designing a personal informatics system for users without experience in self-tracking: a case study
Author(s): Rapp, AmonMarcengo, AlessandroBuriano, LucaRuffo, GiancarloLai, MirkoCena, Federica Abstract: Thanks to the advancements in ubiquitous and wearable technologies, Personal Informatics (PI) systems can now reach a larger audience of users. However, it is not...
The Quantified Relationship
Author(s): Danaher, JohnNyholm, SvenEarp, Brian D. Abstract: The growth of self-tracking and personal surveillance has given rise to the Quantified Self movement. Members of this movement seek to enhance their personal well-being, productivity, and self-actualization...
Designing Toolkits for Self-Tracking and Self-Intervention to Improve Mental Health
Author: Lee, Kwangyoung Abstract: Self-tracking technologies have been developed to understand the self. Tracking one’s mental health state (e.g., anxiety, stress, depression) has become a critical part of our lives. However, current self-tracking tools do not...
Data anxieties: Finding trust in everyday digital mess
Author(s): Horst, HeatherLanzeni, DeboraPink, Sarah Abstract: Digital data is an increasing and continual presence across the sites, activities and relationships of everyday life. In this article we explore what data presence means for the ways that the everyday is...
Understanding the impacts of human mobility on accessibility using massive mobile phone tracking data
Author(s): Chen, Bi YuWang, YafeiWang, DonggenLi, QingquanLam, William H.K.Shaw, Shih Lung Abstract: Many existing accessibility studies ignore human mobility due to the lack of large-scale human mobility data. This study investigates the impacts of human mobility on...
A New Backpropagation Algorithm without Gradient Descent
Author(s): Ranganathan, VarunNatarajan, S. Abstract: The backpropagation algorithm, which had been originally introduced in the 1970s, is the workhorse of learning in neural networks. This backpropagation algorithm makes use of the famous machine learning algorithm...
Gamification, quantified-self or social networking? Matching users’ goals with motivational technology
Author: Juho HamariLobna HassanAntonio Dias Abstract: Systems and services we employ in our daily life have increasingly been augmented with motivational designs which fall under the classes of (1) gamification, (2) quantified-self and (3) social networking features...