Mobile Sensing in Psychology: Methods and Applications

✍ Scribed by Matthias R. Mehl (editor), Michael Eid (editor), Cornelia Wrzus (editor), Gabriella M. Harari (editor), Ulrich W. Ebner-Priemer (editor)

• Publisher: The Guilford Press
• Year: 2024
• Tongue: English
• Leaves: 819
• Edition: 1
• Category: Library

✦ Synopsis

How can large-scale, real-time, and real-world data on people’s behaviors, interactions, and environments improve psychological measurement, or lead to customized psychological interventions? Written expressly for social and behavioral scientists, this cutting-edge handbook describes the key concepts and tools of mobile sensing and explains how to plan and conduct a mobile sensing study. Renowned experts address the whats, whys, and how-tos of collecting "big data" using smartphones and other wearables, and explore which research questions can best be addressed with these tools. Modern statistical methods for analyzing mobile sensing data are described--for example, dynamic structural equation modeling, network modeling, and machine learning, including deep neural networks. The book includes best-practice research examples of applications in clinical psychology, aging, neuroscience, health, emotions, relationships, personality, the workplace, and other areas. Key methodological challenges and ethical/privacy issues are highlighted throughout.
 

✦ Table of Contents

Cover
Half Title Page
Title Page
Copyright
Foreword
Preface
Contents
I. Mobile Sensing: Background and Key Concepts
1. How to Conduct Mobile Sensing Research
2. Designing for Privacy in Mobile Sensing Systems
3. Transparency and Reproducibility in Mobile Sensing Research
II. Mobile Sensors: Technological Know-How and Methodical How-To
4. Acquisition and Analysis of Location Data
5. Acquisition and Analysis of Physical Behavior Data
6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data
7. Analysis of Phone Logs and Phone Usage Patterns
8. Mobile Application Usage in Psychological Research
9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data
10. Behavioral Audio Signal Processing in Mobile Sensing Research
11. Acquisition and Analysis of Camera Sensor Data (Lifelogging)
12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors
13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments
III. Analysis of Mobile Sensing Data
14. A Psychometric Perspective on Mobile Sensing Data
15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data
16. Dynamic Network Analysis
17. Machine Learning for Mobile Sensing Data
18. Deep-Learning Methods for Mobile Sensing
19. Big Data Dimensionality Reduction Methods
IV. Mobile Sensing Applications in Psychological Science
20. Mobile Sensing in Personality Science
21. Mobile Sensing Applications in Moral Psychology
22. Mobile Sensing in Relationship Research
23. Wearable Technologies in the Workplace: Sensing to Create Responsive Industrial and Occupational Environments Optimized for Health
24. Emotion Detection with Mobile Sensing
25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research
26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers
27. Mobile Sensing in Aging Research
28. mHealth Interventions for Health Behaviors
29. Sensing in Clinical Psychology
30. Smart Interventions
31. Mobile Technologies for Behavior Change
32. Mobile Sensing in Neuroscience: Predicting Brain Functional Connectivity Using Smartphone Data
V. Conclusions and Future Directions
33. Mobile Sensing in Psychology: Where We Are and Where We Might Go from Here
Author Index
Subject Index
About the Editors
Contributors