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Digital Phenotyping and Mobile Sensing

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Cover of 'Digital Phenotyping and Mobile Sensing'

Table of Contents

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    Book Overview
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    Chapter 1 Digital Phenotyping and Mobile Sensing in Psychoinformatics—A Rapidly Evolving Interdisciplinary Research Endeavor
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    Chapter 2 Privacy in Mobile Sensing
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    Chapter 3 Ethical Considerations of Digital Phenotyping from the Perspective of a Healthcare Practitioner Including Updates
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    Chapter 4 Computerized Facial Emotion Expression Recognition
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    Chapter 5 An Overview on Doing Psychodiagnostics in Personality Psychology and Tracking Physical Activity via Smartphones Including Updates
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    Chapter 6 Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile Sensing
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    Chapter 7 Digital Brain Biomarkers of Human Cognition and Mood
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    Chapter 8 Mining Facebook Data for Personality Prediction: An Overview
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    Chapter 9 Orderliness of Campus Lifestyle Predicts Academic Performance: A Case Study in Chinese University
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    Chapter 10 From Outside In: Profiling, Persuasion and Political Opinion in the Age of Big Data
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    Chapter 11 A Practical Guide to WhatsApp Data in Social Science Research
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    Chapter 12 Latest Advances in Computational Speech Analysis for Mobile Sensing
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    Chapter 13 Passive Sensing of Affective and Cognitive Functioning in Mood Disorders by Analyzing Keystroke Kinematics and Speech Dynamics
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    Chapter 14 Studying Psychopathology in Relation to Smartphone Use: From Self-reports to Objectively Measured Smartphone Use Behavior
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    Chapter 15 Connecting Domains—Ecological Momentary Assessment in a Mobile Sensing Framework
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    Chapter 16 Momentary Assessment of Tinnitus—How Smart Mobile Applications Advance Our Understanding of Tinnitus
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    Chapter 17 Mobile Crowdsensing in Healthcare Scenarios: Taxonomy, Conceptual Pillars, Smart Mobile Crowdsensing Services
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    Chapter 18 mHealth Applications: Potentials, Limitations, Current Quality and Future Directions
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    Chapter 19 Using Chatbots to Support Medical and Psychological Treatment Procedures Challenges, Opportunities, Technologies, Reference Architecture
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    Chapter 20 Persuasive e-Health Design for Behavior Change
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    Chapter 21 Optimizing mHealth Interventions with a Bandit
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    Chapter 22 Parkinsonism and Digital Measurement
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    Chapter 23 Smart Sensors for Health Research and Improvement
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    Chapter 24 Smart Sensing Enhanced Diagnostic Expert Systems
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    Chapter 25 Ecological Momentary Interventions in Public Mental Health Provision
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    Chapter 26 Defining Big Data
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    Chapter 27 Defining Ecological Momentary Assessment
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    Chapter 28 Defining Artificial Intelligence
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    Chapter 29 Defining Machine Learning
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    Chapter 30 Defining Privacy
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    Chapter 31 Defining Digital Biomarkers
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Title
Digital Phenotyping and Mobile Sensing
Published by
Springer International Publishing, June 2022
DOI 10.1007/978-3-030-98546-2
ISBNs
978-3-03-098545-5, 978-3-03-098546-2
Editors

Montag, Christian, Baumeister, Harald

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