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Quantifying the Activities of Self-quantifiers: Management of Data, Time and Health
Manal Almalki1, Fernando Martin Sanchez1, Kathleen Gray1
1Health and Biomedical Informatics Centre, University of Melbourne, Melbourne, 3010, Australia.
Abstract:
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, data analysis, and data sharing tools and draws implications for health self-management activities.
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