Home // International Journal On Advances in Intelligent Systems, volume 9, numbers 3 and 4, 2016 // View article

The KOOLO app - A case study of self-tracking, visualization, and organizing personal moods

Authors:
Maja van der Velden
Margaret Machniak Sommervold

Keywords: lived body, lifeworld; m-health; participatory design; qualitative self; transition; visualization, young patients

Abstract:
Self-tracking refers to the regular collection of data about oneself. Smartphones and wearables have made self-tracking a pervasive activity. This paper describes the design process of a self-tracking mood functionality, which is part of the KOOLO mobile application. The purpose of the KOOLO application is to support young patients, teenagers and young adults with long-term health challenges, in the transition from child-oriented to adult-oriented healthcare. We implemented a design approach, based on a participatory design process combined with a focus on the wellbeing of the whole person, not just the diagnosis. The result was a mood tracking functionality that collects qualitative mood data in the form of color-tagged photos. The visualization of the data resulted in both a quantification of the data as well as in an interactive mood map. The organization of the color-tagged photos, in the form of a timeline and map, enables the user access to the mood data in different ways.

Pages: 554 to 564

Copyright: Copyright (c) to authors, 2016. Used with permission.

Publication date: December 31, 2016

Published in: journal

ISSN: 1942-2679