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El. knyga: Digital Phenotyping and Mobile Sensing: New Developments in Psychoinformatics

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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.

 


1 Digital Phenotyping and Mobile Sensing in Psychoinformatics--A Rapidly Evolving Interdisciplinary Research Endeavor
1(12)
Harald Baumeister
Christian Montag
Part I Privacy and Ethics
2 Privacy in Mobile Sensing
13(12)
Frank Kargl
Rens W. van der Heijden
Benjamin Erb
Christoph Bosch
3 Ethical Considerations of Digital Phenotyping from the Perspective of a Healthcare Practitioner Including Updates
25(18)
Paul Dagum
Christian Montag
Part II Applications in Psycho-Social Sciences
4 Computerized Facial Emotion Expression Recognition
43(14)
Mattis Geiger
Oliver Wilhelm
5 An Overview on Doing Psychodiagnostics in Personality Psychology and Tracking Physical Activity via Smartphones Including Updates
57(20)
Rayna Sariyska
Christian Montag
6 Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile Sensing
77(28)
Sumer S. Vaid
Gabriella M. Harari
7 Digital Brain Biomarkers of Human Cognition and Mood
105(16)
Paul Dagum
8 Mining Facebook Data for Personality Prediction: An Overview
121(16)
Davide Marengo
Michele Settanni
9 Orderliness of Campus Lifestyle Predicts Academic Performance: A Case Study in Chinese University
137(14)
Yi Cao
Jian Gao
Tao Zhou
10 From Outside In: Profiling, Persuasion and Political Opinion in the Age of Big Data
151(20)
Saurabh Dhawan
Simon Hegelich
11 A Practical Guide to WhatsApp Data in Social Science Research
171(38)
Julian Kohne
Jon D. Elhai
Christian Montag
Part III Applications in Health Sciences
12 Latest Advances in Computational Speech Analysis for Mobile Sensing
209(20)
Nicholas Cummins
Bjorn W. Schuller
13 Passive Sensing of Affective and Cognitive Functioning in Mood Disorders by Analyzing Keystroke Kinematics and Speech Dynamics
229(30)
Faraz Hussain
Jonathan P. Stange
Scott A. Langenecker
Melvin G. Mclnnis
John Zulueta
Andrea Piscitello
Mindy K. Ross
Alexander P. Demos
Claudia Vesel
Homa Rashidisabet
Bokai Cao
He Huang
Philip S. Yu
Peter Nelson
Olusola A. Ajilore
Alex Leow
14 Studying Psychopathology in Relation to Smartphone Use: From Self-reports to Objectively Measured Smartphone Use Behavior
259(18)
Dmitri Rozgonjuk
Jon D. Elhai
Brian J. Hall
15 Connecting Domains--Ecological Momentary Assessment in a Mobile Sensing Framework
277(8)
Thomas Kubiak
Joshua M. Smyth
16 Momentary Assessment of Tinnitus--How Smart Mobile Applications Advance Our Understanding of Tinnitus
285(20)
Winfried Schlee
Robin Kraft
Johannes Schobel
Berthold Langguth
Thomas Probst
Matheus P. C. G. Lourenco
Jorge Simoes
Patrick Neff
Ronny Hannemann
Manfred Reichert
Riidiger Pryss
17 Mobile Crowdsensing in Healthcare Scenarios: Taxonomy, Conceptual Pillars, Smart Mobile Crowdsensing Services
305(16)
Rudiger Pryss
18 Mhealth Applications: Potentials, Limitations, Current Quality and Future Directions
321(14)
Eva-Maria Messner
Thomas Probst
Teresa O'Rourke
Stoyan Stoyanov
Harald Baumeister
19 Using Chatbots to Support Medical and Psychological Treatment Procedures Challenges, Opportunities, Technologies, Reference Architecture
335(12)
Rudiger Pryss
Robin Kraft
Harald Baumeister
Jens Winkler
Thomas Probst
Manfred Reichert
Berthold Langguth
Myra Spiliopoulou
Winfried Schlee
20 Persuasive e-Health Design for Behavior Change
347(18)
Harald Baumeister
Robin Kraft
Amit Baumel
Rudiger Pryss
Eva-Maria Messner
21 Optimizing mHealth Interventions with a Bandit
365(14)
Mashfiqui Rabbi
Predrag Klasnja
Tanzeem Choudhury
Ambuj Tewari
Susan Murphy
22 Parkinsonism and Digital Measurement
379(16)
Salil Patel
Maksymilian Brzezicki
Zi H. Su
James J. FitzGerald
Chrystalina A. Antoniades
23 Smart Sensors for Health Research and Improvement
395(18)
Patricia Garatva
Yannik Terhorst
Eva-Maria Messner
Walter Karlen
Rudiger Pryss
Harald Baumeister
24 Smart Sensing Enhanced Diagnostic Expert Systems
413(14)
Yannik Terhorst
Johannes Knauer
Harald Baumeister
25 Ecological Momentary Interventions in Public Mental Health Provision
427(16)
Julia C. C. Schulte-Strathaus
Christian Rauschenberg
Harald Baumeister
Ulrich Reininghaus
Part IV Key Concepts
26 Defining Big Data
443(4)
Andrea De Mauro
27 Defining Ecological Momentary Assessment
447(4)
Ulrich W. Ebner-Priemer
28 Defining Artificial Intelligence
451(4)
Felix Lindner
29 Denning Machine Learning
455(6)
Simon Hegelich
30 Defining Privacy
461(4)
Frank Kargl
Benjamin Erb
Christoph Bosch
31 Defining Digital Biomarkers
465
Christian Montag
Jon D. Elhai
Paul Dagum
Christian Montag is Professor for Molecular Psychology at Ulm University, Germany. From 2016 to 2022, he has been a visiting professor at the University of Electronic Science and Technology of China, in Chengdu. He received his diploma and PhD degree in psychology in 2006 and 2009, respectively, and his habilitation in the same field in 2011. Christian Montag's research has been dealing with various topics relating to molecular genetics of personality and emotions, affective neuroscience, neuroeconomics, internet addiction, and psychoinformatics. He has also been involved in developing applications to track human behavior via smartphones.

Harald Baumeister is Professor for Clinical Psychology and Psychotherapy, and Head of the Psychotherapeutic outpatient clinic at Ulm University, Germany. He received his diploma and PhD in psychology in 2001 and 2005, respectively. In 2007, he gained his professional license to work as a psychotherapist, and received his habilitation in psychology in 2012. Harald Baumeister“s research focuses on e-mental- and e-behavioral health. He has developed and evaluated several strategies for Internet- and Mobile-based Interventions (IMI) and Diagnostics for both mental and somatic, and primary and secondary, care settings. More recently, he started to leverage interdisciplinary competencies to level up IMI-and mental health research by bringing together informatics and data science with engineering, biological, psychological/psychotherapeutic and medical expertise. Big data-based machine learning approaches, deep learning- and artificial intelligence-based mental- and behavioral health solutions, as well as adaptive, smart sensing-informed interventional approaches are just some of his current research topics.