QuantifyMe: An Automated Single-Case Experimental Design Platform
Author(s)
Sano, Akane; Taylor, Sara Ann; Ferguson, Craig; Mohan, Akshay; Picard, Rosalind W.
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© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018. We designed, developed, and evaluated a novel system, QuantifyMe, for novice self-experimenters to conduct proper-methodology single-case self-experiments in an automated and scientific manner using their smartphones. In this work we evaluate its use with four different kinds of personalized investigations, examining how variables such as sleep duration and regularity, activity, and leisure time affect personal happiness, stress, productivity, and sleep efficiency. We describe lessons learned developing the system, and recommendations for its improvement, as well as its potential for enabling personalized insights to be scientifically evaluated in many individuals.
Date issued
2018Department
Massachusetts Institute of Technology. Media LaboratoryPublisher
Springer International Publishing
Citation
Sano, Akane, Taylor, Sara, Ferguson, Craig, Mohan, Akshay and Picard, Rosalind W. 2018. "QuantifyMe: An Automated Single-Case Experimental Design Platform."
Version: Author's final manuscript
ISSN
1867-8211
1867-822X