Quantifying the Activities of Self-quantifiers: Management of Data, Time and Health
Manal Almalki, Fernando Martin Sanchez, Kathleen Gray, IN Sarkar (ed.), A Georgiou (ed.), PMD Marques (ed.)
Studies in Health Technology and Informatics | IOS PRESS | Published : 2015
Current self-quantification systems (SQS) are limited in their ability to support the acquisition of health-related information essential for individuals to make informed decisions based on their health status. They do not offer services such as data handling and data aggregation in a single place, and using multiple types of tools for this purpose complicates data and health self-management for self-quantifiers. An online survey was used to elicit information from self-quantifiers about the methods they used to undertake key activities related to health self-management. This paper provides empirical evidence about self-quantifiers' time spent using different data collection, data handling, ..View full abstract
Funding for this project was provided by the University of Melbourne's Institute for a Broadband-Enabled Society (IBES). Almalki's PhD research is supported by a scholarship from Jazan University and a top-up scholarship from IBES.