Overview
- 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)
Part of the book series: Studies in Neuroscience, Psychology and Behavioral Economics (SNPBE)
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About this book
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.”Similar content being viewed by others
Keywords
- 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
Table of contents (18 chapters)
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Front Matter
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Digital Phenotyping and Mobile Sensing: Privacy and Ethics
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Front Matter
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Digital Phenotyping and Mobile Sensing in Psycho-Social Sciences
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Front Matter
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Digital Phenotyping and Mobile Sensing in Health Sciences
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Front Matter
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Editors and Affiliations
About the editors
Christian Montag received his diploma in psychology in September 2006. In 2009 he achieved his PhD degree on his psychobiological works testing Gray’s revised reinforcement sensitivity theory. In 2011 he got the venia legendi for psychology. Since September 2014 he is Professor for Molecular Psychology at Ulm University, Germany. Since 2016 he is also Visiting Professor at the NeuScan-Lab/Key Laboratory for Neuroinformation, UESTC in Chengdu, China.
Research Interests: Christian Montag is interested in the molecular genetics of personality and emotions / affective neuroscience. He combines molecular genetics with brain imaging techniques such as structural/functional MRI to better understand individual differences in human nature. Adding to this he conducts research in the fields of Neuroeconomics and (Internet) addiction including new approaches from Psychoinformatics.
Harald Baumeister received his diploma inpsychology in March 2001. In 2005 he achieved his PhD degree, in 2007 his license as a psychotherapist and in 2012 his venia legendi for psychology. Since September 2015 he is Professor for Clinical Psychology and Psychotherapy and head of the psychotherapeutic outpatient clinic at Ulm University, Germany.
Research Interests: Harald Baumeister´s research focusses on e-mental- and e-behavioral health. Over the last decade he developed and evaluated several Internet- and Mobile-based diagnostics- and intervention (IMI) solutions for mental and somatic primary and secondary care settings. Recent research aims to combine interdisciplinary competencies to level up IMI-and mental health research by bringing together informatics, engineering, biological, data science, psychological, psychotherapeutically and medical expertise. Big data based machine learning approaches, deep-learning based artificial intelligence mental- and behavioral health solutions and adaptive, smart sensing informed interventional approaches are some of his current fields of interest.
Bibliographic Information
Book Title: Digital Phenotyping and Mobile Sensing
Book Subtitle: New Developments in Psychoinformatics
Editors: Harald Baumeister, Christian Montag
Series Title: Studies in Neuroscience, Psychology and Behavioral Economics
DOI: https://doi.org/10.1007/978-3-030-31620-4
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-31622-8Published: 13 November 2020
eBook ISBN: 978-3-030-31620-4Published: 31 October 2019
Series ISSN: 2196-6605
Series E-ISSN: 2196-6613
Edition Number: 1
Number of Pages: XX, 291
Number of Illustrations: 9 b/w illustrations, 47 illustrations in colour
Topics: Biomedical Engineering/Biotechnology, Health Psychology, Biomedical Engineering and Bioengineering, User Interfaces and Human Computer Interaction, Health Informatics