@inproceedings{71e6359affb140e1932e7efb33121154,
title = "QuantifyMe: An automated single-case experimental design platform",
abstract = "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.",
keywords = "Mobile health, Self-experiment, Self-tracking, Single-case experimental design",
author = "Akane Sano and Sara Taylor and Craig Ferguson and Akshay Mohan and Picard, {Rosalind W.}",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018.; 7th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2017 ; Conference date: 14-11-2017 Through 15-11-2017",
year = "2018",
doi = "10.1007/978-3-319-98551-0_23",
language = "English (US)",
isbn = "9783319985503",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer-Verlag",
pages = "199--206",
editor = "Rahmani, {Amir M.} and Nima TaheriNejad and Paolo Perego",
booktitle = "Wireless Mobile Communication and Healthcare - 7th International Conference, MobiHealth 2017, Proceedings",
}