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QuantifyMe: An Automated Single-Case Experimental Design Platform
Name
17.sanotaylor_etal_quantifyme.pdf
Description
Accepted version
Size
635.43 KB
Format
Adobe PDF
Checksum (MD5)
d9bb2445987158d26b6ccff39d0a26e7
Author(s)
Sano, Akane
Taylor, Sara
Ferguson, Craig
Mohan, Akshay
Picard, Rosalind W.
Date Issued
2018
Publisher
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
Abstract
© 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.
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
10.1007/978-3-319-98551-0_23
