A Tangible Personal Informatics System for an Amusing Self-Reporting
Author(s): Sarzotti Federico Abstract: Nowadays, a multitude of states and behaviors could be self-reported using Personal Informatics systems but some of them, cannot be automatically gathered. Moreover this activity can be very awkward and complex and users can...
When Fitness Trackers Don’t ‘Fit’: End-User Difficulties in the Assessment of Personal Tracking Device Accuracy
Author(s): Rayoung Yang Eunice Shin Mark W. Newman Mark S. Ackerman Abstract: Personal tracking technologies allow users to monitor and reflect on their physical activities and fitness. However, users are uncertain about how accurately their devices track their data....
Narrating the quantified self
Author: Hilviu, DizeRapp, Amon Abstract: Quantified Self aims at providing people with self-awareness and self-knowledge through the collection of personal data. However, the modalities through which these information are presented often prevent individuals to gain...
Life beyond big data: governing with little analytics
Author(s): Amoore, LouisePiotukh, Volha Abstract: The twenty-first-century rise of big data marks a significant break with statistical notions of what is of interest or concern. The vast expansion of digital data has been closely intertwined with the development of...
The curse of quantified-self
Author(s): van Berkel, NielsLuo, ChuFerreira, DenzilGoncalves, JorgeKostakos, Vassilis Abstract: Quantified Selfers are individuals that take a proactive stance to collect and act upon their personal data. However, these endeavours towards a better insight into one’s...
Exploring correlational information in aggregated quantified self data dashboards
Author Simon L. Jones Abstract: Data aggregation platforms are often depicted as a panacea for users wanting to examine correlations within the multi-faceted data that they collect. In this paper we describe inherent challenges with the provision of multi-faceted,...
The Curse of Quantified-Self: An Endless Quest for Answers
Author(s): Niels van Berkel Chu Luo Denzil Ferreira Jorge Goncalves Vassilis Kostakos Abstract: Quantified Selfers are individuals that take a proactive stance to collect and act upon their personal data. However, these endeavours towards a better insight into one's...
SleepTight: low-burden, self-monitoring technology for capturing and reflecting on sleep behaviors
Author(s): Eun Kyoung Choe Bongshin Lee Matthew Kay Wanda Pratt Julie A. Kientz Abstract: Manual tracking of health behaviors affords many benefits, including increased awareness and engagement. However, the capture burden makes long-term manual tracking challenging....
Challenges, Feedback, & Notifications: Empirical Explorations to Inform the Design of Interfaces to Motivate and Encourage Long-Term Personal Informatics Use
Author(s): Stephen VoidaYuan JiaYamini KaranamAlex ChambersJoe DaraAbdulaziz AlderhamiKunal BodkeDushyant ShrikhandeJessica Despard Abstract: In our research group, we are currently carrying out several empirical research studies to inform the design of future...
“You Get Reminded You’re a Sick Person”: Personal Data Tracking and Patients With Multiple Chronic Conditions
Authors: Jessica S Ancker Holly O Witteman Baria Hafeez Thierry Provencher Mary Van de Graaf Esther Wei Abstract: Background: Consumer health information technologies (HIT) that encourage self-tracking, such as diet and fitness tracking apps and disease journals, are...