Digital Phenotyping and Mobile Sensing
New Developments in Psychoinformatics
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Beschreibung
This book offers a snapshot of cutting-edge applications of digital phenotyping and mobile sensing for studying human behavior and planning innovative e-healthcare interventions. The respective chapters, written by authoritative researchers, cover both theoretical perspectives and good scientific and professional practices related to the use and development of these technologies. They share novel insights into established applications of mobile sensing, such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns, and highlight emerging trends, such as the use of machine learning, big data and deep learning approaches, and the combination of mobile sensing with AI and expert systems. Important issues relating to privacy and ethics are analyzed, together with selected case studies. This thoroughly revised and extended second edition provides researchers and professionals with extensive information on the latest developments in the field of digital phenotyping and mobile sensing. It gives a special emphasis to trends in diagnostics systems and AI applications, suggesting important future directions for research in public health and social sciences.
This book offers a snapshot of cutting-edge applications of digital phenotyping and mobile sensing for studying human behavior and planning innovative e-healthcare interventions. The respective chapters, written by authoritative researchers, cover both theoretical perspectives and good scientific and professional practices related to the use and development of these technologies. They share novel insights into established applications of mobile sensing, such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns, and highlight emerging trends, such as the use of machine learning, big data and deep learning approaches, and the combination of mobile sensing with AI and expert systems. Important issues relating to privacy and ethics are analyzed, together with selected case studies. This thoroughly revised and extended second edition provides researchers and professionals with extensive information on the latest developments in the field of digital phenotyping and mobile sensing. It gives a special emphasis to trends in diagnostics systems and AI applications, suggesting important future directions for research in public health and social sciences.
Offers a practice-oriented guide to tools and technologies used for studying human behavior Describes ways to deal with privacy, ethical and social concerns Thoroughly revised, updated and extended second edition
Autor*in
Christian Montag
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