Digital Phenotyping and Mobile Sensing
New Developments in Psychoinformatics
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Beschreibung
This book offers a snapshot of cutting-edge applications of mobile sensing for digital phenotyping in the field of Psychoinformatics. The respective chapters, written by authoritative researchers, cover various aspects related to the use of these technologies in health, education, and cognitive science research. They share insights both into established applications of mobile sensing (such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns) and emerging trends. Machine learning and deep learning approaches are discussed, and important considerations regarding privacy risks and ethical issues are assessed.
In addition to essential background information on various technologies and theoretical methods, the book also presents relevant case studies and good scientific practices, thus addressing researchers and professionals alike. To cite Thomas R. Insel, who wrote the foreword to this book: “Patients will only use digital phenotyping if it solves a problem, perhaps a digital smoke alarm that can prevent a crisis. Providers will only use digital phenotyping if it fits seamlessly into their crowded workflow. If we can earn public trust, there is every reason to be excited about this new field. Suddenly, studying human behavior at scale, over months and years, is feasible.”
This book offers a snapshot of cutting-edge applications of mobile sensing for digital phenotyping in the field of Psychoinformatics. The respective chapters, written by authoritative researchers, cover various aspects related to the use of these technologies in health, education, and cognitive science research. They share insights both into established applications of mobile sensing (such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns) and emerging trends. Machine learning and deep learning approaches are discussed, and important considerations regarding privacy risks and ethical issues are assessed.
In addition to essential background information on various technologies and theoretical methods, the book also presents relevant case studies and good scientific practices, thus addressing researchers and professionals alike. To cite Thomas R. Insel, who wrote the foreword to this book: “Patients will only use digital phenotyping if it solves a problem, perhaps a digital smoke alarm that can prevent a crisis. Providers will only use digital phenotyping if it fits seamlessly into their crowded workflow. If we can earn public trust, there is every reason to be excited about this new field. Suddenly, studying human behavior at scale, over months and years, is feasible.”Describes powerful digital technologies for applications in the study of human behavior
Describes ways to deal with related privacy, ethical and social concerns
With a foreword by Thomas R. Insel, former director of the National Institute of Mental Health (NIMH)
Autor*in
Harald Baumeister
Themen in »Digital Phenotyping and Mobile Sensing«
Smartphone and behavior Passive sensing in mental health Mathematical models of users' mood Internet-of-Things in psychodiagnostics Ecological Momentary Assessments of tinnitus Digital biomarkers of mood and cognition Big data in psychology Behavioral phenotyping Digital phenotyping in healthcare Limitations of self-report data in psychology Smartphone applications for personality assessment Machine learning analysis of behavioral data Deep learning for speech recognition Developments of Ecological Momentary Assessment Recogniton of facial emotion expression