Digital Phenotyping and Mobile Sensing: New Developments in Psychoinformatics

Description

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.” Front Matter ....Pages i-xx Front Matter ....Pages 1-1 Privacy in Mobile Sensing (Frank Kargl, Rens W. van der Heijden, Benjamin Erb, Christoph Bösch)....Pages 3-12 Ethical Considerations of Digital Phenotyping from the Perspective of a Healthcare Practitioner (Paul Dagum, Christian Montag)....Pages 13-28 Front Matter ....Pages 29-29 Computerized Facial Emotion Expression Recognition (Mattis Geiger, Oliver Wilhelm)....Pages 31-44 An Overview on Doing Psychodiagnostics in Personality Psychology and Tracking Physical Activity via Smartphones (Rayna Sariyska, Christian Montag)....Pages 45-63 Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile Sensing (Sumer S. Vaid, Gabriella M. Harari)....Pages 65-92 Digital Brain Biomarkers of Human Cognition and Mood (Paul Dagum)....Pages 93-107 Mining Facebook Data for Personality Prediction: An Overview (Davide Marengo, Michele Settanni)....Pages 109-124 Orderliness of Campus Lifestyle Predicts Academic Performance: A Case Study in Chinese University (Yi Cao, Jian Gao, Tao Zhou)....Pages 125-137 Front Matter ....Pages 139-139 Latest Advances in Computational Speech Analysis for Mobile Sensing (Nicholas Cummins, Björn W. Schuller)....Pages 141-159 Passive Sensing of Affective and Cognitive Functioning in Mood Disorders by Analyzing Keystroke Kinematics and Speech Dynamics (Faraz Hussain, Jonathan P. Stange, Scott A. Langenecker, Melvin G. McInnis, John Zulueta, Andrea Piscitello et al.)....Pages 161-183 Studying Psychopathology in Relation to Smartphone Use (Dmitri Rozgonjuk, Jon D. Elhai, Brian J. Hall)....Pages 185-199 Connecting Domains—Ecological Momentary Assessment in a Mobile Sensing Framework (Thomas Kubiak, Joshua M. Smyth)....Pages 201-207 Momentary Assessment of Tinnitus—How Smart Mobile Applications Advance Our Understanding of Tinnitus (Winfried Schlee, Robin Kraft, Johannes Schobel, Berthold Langguth, Thomas Probst, Patrick Neff et al.)....Pages 209-220 Mobile Crowdsensing in Healthcare Scenarios: Taxonomy, Conceptual Pillars, Smart Mobile Crowdsensing Services (Rüdiger Pryss)....Pages 221-234 mHealth Applications: Potentials, Limitations, Current Quality and Future Directions (Eva-Maria Messner, Thomas Probst, Teresa O’Rourke, Stoyan Stoyanov, Harald Baumeister)....Pages 235-248 Using Chatbots to Support Medical and Psychological Treatment Procedures: Challenges, Opportunities, Technologies, Reference Architecture (Rüdiger Pryss, Robin Kraft, Harald Baumeister, Jens Winkler, Thomas Probst, Manfred Reichert et al.)....Pages 249-260 Persuasive E-Health Design for Behavior Change (Harald Baumeister, Robin Kraft, Amit Baumel, Rüdiger Pryss, Eva-Maria Messner)....Pages 261-276 Optimizing mHealth Interventions with a Bandit (Mashfiqui Rabbi, Predrag Klasnja, Tanzeem Choudhury, Ambuj Tewari, Susan Murphy)....Pages 277-291