Call for Papers for
International Workshop on The Role of Quantified Self for the Personal Healthcare (QSPH’14)
November 2014, held in conjunction with IEEE BIBM 2014 in Belfast, UK
In recent years there has been considerable interest in tracking a variety of health-related data via a growing number of ubiquitous devices, smartphones and wearable devices. This phenomenon is bundled by the so-called Quantified Self (QS) movement, an Internet community focusing on self-quantification through technological aids. The Quantified Self movement promises self knowledge through numbers and its adherents are proponents of self-tracking in many forms, including the use of wearable devices, blood testing, genetic testing, and journal recording. A variety of relevant health parameters are now being captured via an ecosystem of consumer-oriented wearable devices, smartphone apps and related services. Techniques from information science, sociology, psychology, statistics, machine learning and data mining are applied to analyze collected data. These techniques provide new opportunities to enrich understanding of individual and population health. Self-tracking data!
can provide better measures of everyday behavior and lifestyle and can complement more traditional clinical data collection, towards a comprehensive picture of health.
The aims of the workshop are to engage researchers from both Healthcare and Quantified Self communities to discuss key issues, opportunities and obstacles for personal health data research. These include challenges of capturing, summarizing, presenting and retrieving relevant information from heterogeneous sources to support a new vision of pervasive personal healthcare.
We invite submission of papers reporting relevant research in the area of self-tracking for healthcare. We welcome submissions across a broad scope, addressing any of the following guideline topics but not excluding others, relevant to the workshop goals.
– Personal Health Informatics
– Quantified Self for Healthcare
– Activity Monitors and Devices
– Healthcare Knowledge Representation & Reasoning
– Health Data acquisition, analysis and mining
– Healthcare Information Systems
– Biomedical Signal/Image Analysis
– Validity, reliability, usability, and effectiveness of Self-Tracking devices
– Experiment Design
– Social and Psychological investigation into Self-Tracking practices
– Health Monitoring in clinical and lifestyle environments
– Sensors and actuators for Wellness, Fitness and Rehabilitation
– Innovative Algorithms for assessment of long-term physiological and behavioural data
– Models for interpreting medical sensor data
– Lifelogging, lifecaching, lifestreaming
– Biometric data
– Medical Self-diagnostics
We invite the submission of papers reporting original research, studies, advances, or experiences in this area. Each paper will be evaluated by at least two reviewers from the Program Committee. The papers will be evaluated for their originality, contribution significance, soundness, clarity, and overall quality. The interest of contributions will be assessed in terms of technical and scientific findings, contribution to the knowledge and understanding of the problem, methodological advancements, or applicative value.
All accepted papers will be published in the IEEE BIBM Workshops proceedings and will appear in the IEEE digital library (IEEE Xplore).
There are two categories of paper submissions: Long paper submissions should report on substantial contributions of lasting value. Each accepted long paper will be presented in a plenary session of the workshop program. The maximum length is 8 pages. Short paper submissions typically discuss exciting new work that is not yet mature enough for a long paper. The presentation may include a system demonstration. The maximum length is 4 pages.
All submissions should be prepared following the IEEE Computer Society Proceedings Manuscript Formatting Guidelines.
Submissions should be blind, so please do not include authors names and affiliations on your submission. Submissions must be in PDF format. All papers must be submitted electronically before September 10th, 2014 through the cyberchair submission system at https://wi-lab.com/cyberchair/2014/bibm14/scripts/submit.php?subarea=S8&undisplay_detail=1&wh=/cyberchair/2014/bibm14/scripts/ws_submit.php
Na Li, Dublin City University, Ireland.
Frank Hopfgartner, TU Berlin, Germany
Till Plumbaum, TU Berlin, Germany
Heather J. Ruskin, Dublin City University, Ireland
Submission deadline: September 10, 2014
Notification of acceptance: September 30, 2014
Camera-ready paper due: October 10, 2014