2019
DOI: 10.3390/j2020008
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Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology

Abstract: With the advent of the World Wide Web, the smartphone and the Internet of Things, not only society but also the sciences are rapidly changing. In particular, the social sciences can profit from these digital developments, because now scientists have the power to study real-life human behavior via smartphones and other devices connected to the Internet of Things on a large-scale level. Although this sounds easy, scientists often face the problem that no practicable solution exists to participate in such a new s… Show more

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Cited by 57 publications
(47 citation statements)
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References 48 publications
(58 reference statements)
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“…Recently, open source platforms have been developed to make the collection of passive data from smartphone sensors easier for researchers, facilitating the use of passive data in research even further. A few examples are the AWARE framework (Ferreira et al 2015), RADAR-base (Ranjan et al 2019) and the Insight app (Montag et al 2019).…”
Section: Objective Datamentioning
confidence: 99%
“…Recently, open source platforms have been developed to make the collection of passive data from smartphone sensors easier for researchers, facilitating the use of passive data in research even further. A few examples are the AWARE framework (Ferreira et al 2015), RADAR-base (Ranjan et al 2019) and the Insight app (Montag et al 2019).…”
Section: Objective Datamentioning
confidence: 99%
“…This moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices is referred to as "digital phenotyping" (13,14). There is now a growing body of research demonstrating that digital phenotyping data may enable the identification of people suffering from or at risk of developing mental disorders, in some cases even before symptoms are visible (or detectable) using traditional methods (11,(15)(16)(17)(18).…”
Section: Introductionmentioning
confidence: 99%
“…Since existing ethical and regulatory frameworks for mental health care delivery do not clearly apply to digital phenotyping, it is essential to examine its potential ethical, legal, and social implications. It seems that the work on methods based on this type of data and the way they are collected must be done in interdisciplinary interaction (Montag et al, 2019). The quality of the data depends on it (Vaidyam et al, 2019).…”
Section: Limitations and Perspectivesmentioning
confidence: 99%