Matthias R. Mehl, PhD, is Professor of Psychology at the University of Arizona. He is a social and personality psychologist interested in the conceptualization and measurement of how everyday social processes affect health and well-being. He employs mobile sensing methods for studying real-world social interactions and has pioneered a method that involves the unobtrusive sampling of ambient sounds via a smartphone app (the Electronically Activated Recorder, or EAR). Dr. Mehl has published extensively and given workshops on mobile sensing and other real-world psychological research methods. He is a Fellow of the Association for Psychological Science and the Society for Personality and Social Psychology.Michael Eid, PhD, is Professor of Methods and Evaluation at the Free University of Berlin in Germany. His research focuses on measurement theory, in particular on the development of psychometric models for longitudinal and multimethod research. Since the early 2000s, he has been contributing to the development of structural equation models for analyzing multirater data for different types of raters and research designs. His more applied research contributions are in the areas of subjective well-being, mood regulation, and health psychology.Cornelia Wrzus, PhD, is Professor of Psychological Aging Research at the Ruprecht-Karls University of Heidelberg, Germany, where she founded the Daily Life Lab. Her research focuses on socioemotional and personality development across the entire adult lifespan. Dr. Wrzus has published many articles on personality development, emotional processes, and social dynamics in daily life, using experience sampling, ambulatory physiological assessments, and mobile sensing. One particular concern is the integration of both open science standards and privacy protection in ambulatory assessment research of people’s daily lives. She has served on the editorial boards of several personality journals and is president-elect of the Society for Ambulatory Assessment.Gabriella M. Harari, PhD, is Assistant Professor in the Department of Communication at Stanford University, where she directs the Media and Personality Lab. Her research focuses on everyday behavior and its relationship to personality and well-being. She takes an ecological approach to conducting her research, emphasizing the importance of studying people in their natural physical and digital contexts. Over the last decade, Dr. Harari has published extensively on mobile sensing and given workshops about using the method for studying daily life.Ulrich W. Ebner-Priemer, PhD, is Professor of Psychology and Chair of the Mental mHealth (mobile health) Lab at the Karlsruhe Institute of Technology in Germany. His work is characterized by its methodological focus on ambulatory assessment, investigating phenomena of interest in everyday life and real time. He is particularly interested in a multimodal operationalization of phenomena of interest, combining e-diaries with wearables, and digital phenotypes; real-time analyses and real-time feedback; and analysis of dynamic processes. Dr. Ebner-Priemer provides the technological mHealth framework for studies on a broad range of mental disorders. He is former president of the Society for Ambulatory Assessment and current Chair of the ECNP Digital Health Network.

"Everyone who is engaged in or considering work in mobile sensing surely will benefit from a careful review of this book. The volume provides thorough discussions of privacy, reproducibility, the conduct of research, and ethics. Chapters richly describe passive sensing modalities, analytic methods, and applications, with an emphasis on psychological science. Valuable features include considerations for defining summary variables, reviews of mobile sensing devices and apps, instructions for preprocessing data, and examples to illustrate points. Importantly, the strengths and limitations of mobile sensing research are highlighted."--Arthur A. Stone, PhD, Department of Psychology and Director, Dornsife Center for Self-Report Science, University of Southern California"Mobile sensing is set to transform the field of psychology. This volume, with its readable and practical chapters on every important element of mobile sensing research, is an essential companion for anyone doing work in this area. Broad in scope and authoritative in content, this is the one book you need, whether you are a graduate student just starting your first mobile sensing study or an experienced researcher seeking to improve your designs, methods, and analyses."--Samuel D. Gosling, PhD, Department of Psychology, The University of Texas at Austin"With contributions from leading scholars and practitioners from around the world, the book covers a wide range of topics, including how to collect mobile sensing data, how to analyze the data, and applications in specific fields, such as aging, close relationships, emotion detection, and cognitive assessment. This comprehensive, single-volume source is a 'must' for those seeking to explore the vast potential of mobile sensing."--Niall Bolger, PhD, Department of Psychology, Columbia University"This wide-ranging volume from well-respected editors and contributors provides an impressive 'one-stop shop' for researchers interested in mobile sensing research. The book offers primers on the background and key concepts of mobile sensing, data acquisition and analysis, and applications in specific domains. I have no doubt that this book will serve as a tremendous fount of guidance and inspiration for the next generation of mobile sensing researchers."--Joshua Smyth, PhD, Ohio Eminent Scholar in Health Psychology, The Ohio State University-

• I. Mobile Sensing: Background and Key Concepts1. How to Conduct Mobile Sensing Research, Gabriella M. Harari, Serena Soh, & Lara Kroencke2. Designing for Privacy in Mobile Sensing Systems, Jason I. Hong3. Transparency and Reproducibility in Mobile Sensing Research, Cornelia Wrzus & Ramona SchoedelII. Mobile Sensors: Technological Know-How and Methodological How-To4. Acquisition and Analysis of Location Data, Sven Lautenbach, Sarah Lohr, & Markus Reichert5. Acquisition and Analysis of Physical Behavior Data, Marco Giurgiu & J. B. J. (Hans) Bussmann6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data, Eco J. C. de Geus & Martin J. Gevonden7. Analysis of Phone Logs and Phone Usage Patterns, Sandrine R. Müller, Aaron Cohen, Marcel Enge, & John F. Rauthmann8. Mobile Application Usage in Psychological Research, Larissa Sust, Sanaz Talaifar, & Clemens Stachl9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data, Koustuv Saha & Munmun De Choudhury10. Behavioral Audio Signal Processing in Mobile Sensing Research, Rajat Hebbar, Arindam Jati, Tiantian Feng, Ramon Reyes, Alexander F. Danvers, Matthias R. Mehl, & Shrikanth S. Narayanan11. Acquisition and Analysis of Camera Sensor Data (Life Logging), Edison Thomaz & Mariella Dimiccoli12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors, Kristof Van Laerhoven13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments, Ulrich Ebner-Priemer & Philip SantangeloIII. Analysis of Mobile Sensing Data14. A Psychometric Perspective on Mobile Sensing Data, Michael Eid & Jana Holtmann15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data, Jana Holtmann, Michael Eid, & Martina Kanning16. Dynamic Network Analysis, Emorie D. Beck & Stuti Thapa17. Machine Learning for Mobile Sensing Data, Andreas M. Brandmaier18. Deep Learning Methods for Mobile Sensing, Cara J. Arizmendi, Christopher J. Urban, Kathleen M. Gates19. Big Data Dimensionality Reduction Methods, Andreas M. BrandmaierIV. Mobile Sensing Applications in Psychological Science20. Mobile Sensing in Personality Science, Felix Beierle, Sandra C. Matz, & Mathias Allemand21. Mobile Sensing Applications in Moral Psychology, Farzan Karimi-Malekabadi, Mohammad Atari, & Morteza Dehghani22. Mobile Sensing in Relationship Research, Andrea B. Horn & Adela C. Timmons23. Wearable Technologies in the Workplace: Sensing to Create Responsive Industrial and Occupational Environments Optimized for Health, Jacob N. Hyde, Johnny R. Runyon, Altaf Engineer, Beth Kramer, Casey M. Lindberg, & Esther M. Sternberg24. Emotion Detection with Mobile Sensing, Koen Niemeijer & Peter Kuppens25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research, Martin Sliwinski, Nelson Roque, & Karra Harrington26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers, Kaya de Barbaro & Caitlin M. Fausey27. Mobile Sensing in Aging Research, Birthe Macdonald, Melanie Becker, Mike Martin, & Christina Röcke28. mHealth Interventions for Health Behaviors, Christine Vinci, Brian Gonzalez, Darla Kendzor, Michael Businelle, & Santosh Kumar29. Sensing in Clinical Psychology, Geneva K. Jonathan & Dror Ben-Zeev30. Smart Interventions, Inbal Nahum-Shani31. Behavior Change, Jean Costa, Pablo Paredes, & Tanzeem Choudhury32. Mobile Sensing in Neuroscience: Predicting Brain Functional Connectivity Using Smartphone Data, Mikio Obuchi, Jeremy Huckins, Weichen Wang, Arvind Pillai, & Andrew Campbell V. Conclusions and Future Directions33. Mobile Sensing in Psychology: Where We Are and Where We Might Go From Here, Matthias R. Mehl, Michael Eid, Cornelia Wrzus, Gabriella M. Harari, & Ulrich Ebner-PriemerAuthor IndexSubject Index

Matthias R. Mehl, PhD, is Professor of Psychology at the University of Arizona. He is a social and personality psychologist interested in the conceptualization and measurement of how everyday social processes affect health and well-being. He employs mobile sensing methods for studying real-world social interactions and has pioneered a method that involves the unobtrusive sampling of ambient sounds via a smartphone app (the Electronically Activated Recorder, or EAR). Dr. Mehl has published extensively and given workshops on mobile sensing and other real-world psychological research methods. He is a Fellow of the Association for Psychological Science and the Society for Personality and Social Psychology.Michael Eid, PhD, is Professor of Methods and Evaluation at the Free University of Berlin in Germany. His research focuses on measurement theory, in particular on the development of psychometric models for longitudinal and multimethod research. Since the early 2000s, he has been contributing to the development of structural equation models for analyzing multirater data for different types of raters and research designs. His more applied research contributions are in the areas of subjective well-being, mood regulation, and health psychology.Cornelia Wrzus, PhD, is Professor of Psychological Aging Research at the Ruprecht-Karls University of Heidelberg, Germany, where she founded the Daily Life Lab. Her research focuses on socioemotional and personality development across the entire adult lifespan. Dr. Wrzus has published many articles on personality development, emotional processes, and social dynamics in daily life, using experience sampling, ambulatory physiological assessments, and mobile sensing. One particular concern is the integration of both open science standards and privacy protection in ambulatory assessment research of people’s daily lives. She has served on the editorial boards of several personality journals and is president-elect of the Society for Ambulatory Assessment.Gabriella M. Harari, PhD, is Assistant Professor in the Department of Communication at Stanford University, where she directs the Media and Personality Lab. Her research focuses on everyday behavior and its relationship to personality and well-being. She takes an ecological approach to conducting her research, emphasizing the importance of studying people in their natural physical and digital contexts. Over the last decade, Dr. Harari has published extensively on mobile sensing and given workshops about using the method for studying daily life.Ulrich W. Ebner-Priemer, PhD, is Professor of Psychology and Chair of the Mental mHealth (mobile health) Lab at the Karlsruhe Institute of Technology in Germany. His work is characterized by its methodological focus on ambulatory assessment, investigating phenomena of interest in everyday life and real time. He is particularly interested in a multimodal operationalization of phenomena of interest, combining e-diaries with wearables, and digital phenotypes; real-time analyses and real-time feedback; and analysis of dynamic processes. Dr. Ebner-Priemer provides the technological mHealth framework for studies on a broad range of mental disorders. He is former president of the Society for Ambulatory Assessment and current Chair of the ECNP Digital Health Network.

"Everyone who is engaged in or considering work in mobile sensing surely will benefit from a careful review of this book. The volume provides thorough discussions of privacy, reproducibility, the conduct of research, and ethics. Chapters richly describe passive sensing modalities, analytic methods, and applications, with an emphasis on psychological science. Valuable features include considerations for defining summary variables, reviews of mobile sensing devices and apps, instructions for preprocessing data, and examples to illustrate points. Importantly, the strengths and limitations of mobile sensing research are highlighted."--Arthur A. Stone, PhD, Department of Psychology and Director, Dornsife Center for Self-Report Science, University of Southern California"Mobile sensing is set to transform the field of psychology. This volume, with its readable and practical chapters on every important element of mobile sensing research, is an essential companion for anyone doing work in this area. Broad in scope and authoritative in content, this is the one book you need, whether you are a graduate student just starting your first mobile sensing study or an experienced researcher seeking to improve your designs, methods, and analyses."--Samuel D. Gosling, PhD, Department of Psychology, The University of Texas at Austin"With contributions from leading scholars and practitioners from around the world, the book covers a wide range of topics, including how to collect mobile sensing data, how to analyze the data, and applications in specific fields, such as aging, close relationships, emotion detection, and cognitive assessment. This comprehensive, single-volume source is a 'must' for those seeking to explore the vast potential of mobile sensing."--Niall Bolger, PhD, Department of Psychology, Columbia University"This wide-ranging volume from well-respected editors and contributors provides an impressive 'one-stop shop' for researchers interested in mobile sensing research. The book offers primers on the background and key concepts of mobile sensing, data acquisition and analysis, and applications in specific domains. I have no doubt that this book will serve as a tremendous fount of guidance and inspiration for the next generation of mobile sensing researchers."--Joshua Smyth, PhD, Ohio Eminent Scholar in Health Psychology, The Ohio State University-

• I. Mobile Sensing: Background and Key Concepts1. How to Conduct Mobile Sensing Research, Gabriella M. Harari, Serena Soh, & Lara Kroencke2. Designing for Privacy in Mobile Sensing Systems, Jason I. Hong3. Transparency and Reproducibility in Mobile Sensing Research, Cornelia Wrzus & Ramona SchoedelII. Mobile Sensors: Technological Know-How and Methodological How-To4. Acquisition and Analysis of Location Data, Sven Lautenbach, Sarah Lohr, & Markus Reichert5. Acquisition and Analysis of Physical Behavior Data, Marco Giurgiu & J. B. J. (Hans) Bussmann6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data, Eco J. C. de Geus & Martin J. Gevonden7. Analysis of Phone Logs and Phone Usage Patterns, Sandrine R. Müller, Aaron Cohen, Marcel Enge, & John F. Rauthmann8. Mobile Application Usage in Psychological Research, Larissa Sust, Sanaz Talaifar, & Clemens Stachl9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data, Koustuv Saha & Munmun De Choudhury10. Behavioral Audio Signal Processing in Mobile Sensing Research, Rajat Hebbar, Arindam Jati, Tiantian Feng, Ramon Reyes, Alexander F. Danvers, Matthias R. Mehl, & Shrikanth S. Narayanan11. Acquisition and Analysis of Camera Sensor Data (Life Logging), Edison Thomaz & Mariella Dimiccoli12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors, Kristof Van Laerhoven13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments, Ulrich Ebner-Priemer & Philip SantangeloIII. Analysis of Mobile Sensing Data14. A Psychometric Perspective on Mobile Sensing Data, Michael Eid & Jana Holtmann15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data, Jana Holtmann, Michael Eid, & Martina Kanning16. Dynamic Network Analysis, Emorie D. Beck & Stuti Thapa17. Machine Learning for Mobile Sensing Data, Andreas M. Brandmaier18. Deep Learning Methods for Mobile Sensing, Cara J. Arizmendi, Christopher J. Urban, Kathleen M. Gates19. Big Data Dimensionality Reduction Methods, Andreas M. BrandmaierIV. Mobile Sensing Applications in Psychological Science20. Mobile Sensing in Personality Science, Felix Beierle, Sandra C. Matz, & Mathias Allemand21. Mobile Sensing Applications in Moral Psychology, Farzan Karimi-Malekabadi, Mohammad Atari, & Morteza Dehghani22. Mobile Sensing in Relationship Research, Andrea B. Horn & Adela C. Timmons23. Wearable Technologies in the Workplace: Sensing to Create Responsive Industrial and Occupational Environments Optimized for Health, Jacob N. Hyde, Johnny R. Runyon, Altaf Engineer, Beth Kramer, Casey M. Lindberg, & Esther M. Sternberg24. Emotion Detection with Mobile Sensing, Koen Niemeijer & Peter Kuppens25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research, Martin Sliwinski, Nelson Roque, & Karra Harrington26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers, Kaya de Barbaro & Caitlin M. Fausey27. Mobile Sensing in Aging Research, Birthe Macdonald, Melanie Becker, Mike Martin, & Christina Röcke28. mHealth Interventions for Health Behaviors, Christine Vinci, Brian Gonzalez, Darla Kendzor, Michael Businelle, & Santosh Kumar29. Sensing in Clinical Psychology, Geneva K. Jonathan & Dror Ben-Zeev30. Smart Interventions, Inbal Nahum-Shani31. Behavior Change, Jean Costa, Pablo Paredes, & Tanzeem Choudhury32. Mobile Sensing in Neuroscience: Predicting Brain Functional Connectivity Using Smartphone Data, Mikio Obuchi, Jeremy Huckins, Weichen Wang, Arvind Pillai, & Andrew Campbell V. Conclusions and Future Directions33. Mobile Sensing in Psychology: Where We Are and Where We Might Go From Here, Matthias R. Mehl, Michael Eid, Cornelia Wrzus, Gabriella M. Harari, & Ulrich Ebner-PriemerAuthor IndexSubject Index

Matthias R. Mehl, PhD, is Professor of Psychology at the University of Arizona. He is a social and personality psychologist interested in the conceptualization and measurement of how everyday social processes affect health and well-being. He employs mobile sensing methods for studying real-world social interactions and has pioneered a method that involves the unobtrusive sampling of ambient sounds via a smartphone app (the Electronically Activated Recorder, or EAR). Dr. Mehl has published extensively and given workshops on mobile sensing and other real-world psychological research methods. He is a Fellow of the Association for Psychological Science and the Society for Personality and Social Psychology.Michael Eid, PhD, is Professor of Methods and Evaluation at the Free University of Berlin in Germany. His research focuses on measurement theory, in particular on the development of psychometric models for longitudinal and multimethod research. Since the early 2000s, he has been contributing to the development of structural equation models for analyzing multirater data for different types of raters and research designs. His more applied research contributions are in the areas of subjective well-being, mood regulation, and health psychology.Cornelia Wrzus, PhD, is Professor of Psychological Aging Research at the Ruprecht-Karls University of Heidelberg, Germany, where she founded the Daily Life Lab. Her research focuses on socioemotional and personality development across the entire adult lifespan. Dr. Wrzus has published many articles on personality development, emotional processes, and social dynamics in daily life, using experience sampling, ambulatory physiological assessments, and mobile sensing. One particular concern is the integration of both open science standards and privacy protection in ambulatory assessment research of people’s daily lives. She has served on the editorial boards of several personality journals and is president-elect of the Society for Ambulatory Assessment.Gabriella M. Harari, PhD, is Assistant Professor in the Department of Communication at Stanford University, where she directs the Media and Personality Lab. Her research focuses on everyday behavior and its relationship to personality and well-being. She takes an ecological approach to conducting her research, emphasizing the importance of studying people in their natural physical and digital contexts. Over the last decade, Dr. Harari has published extensively on mobile sensing and given workshops about using the method for studying daily life.Ulrich W. Ebner-Priemer, PhD, is Professor of Psychology and Chair of the Mental mHealth (mobile health) Lab at the Karlsruhe Institute of Technology in Germany. His work is characterized by its methodological focus on ambulatory assessment, investigating phenomena of interest in everyday life and real time. He is particularly interested in a multimodal operationalization of phenomena of interest, combining e-diaries with wearables, and digital phenotypes; real-time analyses and real-time feedback; and analysis of dynamic processes. Dr. Ebner-Priemer provides the technological mHealth framework for studies on a broad range of mental disorders. He is former president of the Society for Ambulatory Assessment and current Chair of the ECNP Digital Health Network.

"Everyone who is engaged in or considering work in mobile sensing surely will benefit from a careful review of this book. The volume provides thorough discussions of privacy, reproducibility, the conduct of research, and ethics. Chapters richly describe passive sensing modalities, analytic methods, and applications, with an emphasis on psychological science. Valuable features include considerations for defining summary variables, reviews of mobile sensing devices and apps, instructions for preprocessing data, and examples to illustrate points. Importantly, the strengths and limitations of mobile sensing research are highlighted."--Arthur A. Stone, PhD, Department of Psychology and Director, Dornsife Center for Self-Report Science, University of Southern California"Mobile sensing is set to transform the field of psychology. This volume, with its readable and practical chapters on every important element of mobile sensing research, is an essential companion for anyone doing work in this area. Broad in scope and authoritative in content, this is the one book you need, whether you are a graduate student just starting your first mobile sensing study or an experienced researcher seeking to improve your designs, methods, and analyses."--Samuel D. Gosling, PhD, Department of Psychology, The University of Texas at Austin"With contributions from leading scholars and practitioners from around the world, the book covers a wide range of topics, including how to collect mobile sensing data, how to analyze the data, and applications in specific fields, such as aging, close relationships, emotion detection, and cognitive assessment. This comprehensive, single-volume source is a 'must' for those seeking to explore the vast potential of mobile sensing."--Niall Bolger, PhD, Department of Psychology, Columbia University"This wide-ranging volume from well-respected editors and contributors provides an impressive 'one-stop shop' for researchers interested in mobile sensing research. The book offers primers on the background and key concepts of mobile sensing, data acquisition and analysis, and applications in specific domains. I have no doubt that this book will serve as a tremendous fount of guidance and inspiration for the next generation of mobile sensing researchers."--Joshua Smyth, PhD, Ohio Eminent Scholar in Health Psychology, The Ohio State University-

• I. Mobile Sensing: Background and Key Concepts1. How to Conduct Mobile Sensing Research, Gabriella M. Harari, Serena Soh, & Lara Kroencke2. Designing for Privacy in Mobile Sensing Systems, Jason I. Hong3. Transparency and Reproducibility in Mobile Sensing Research, Cornelia Wrzus & Ramona SchoedelII. Mobile Sensors: Technological Know-How and Methodological How-To4. Acquisition and Analysis of Location Data, Sven Lautenbach, Sarah Lohr, & Markus Reichert5. Acquisition and Analysis of Physical Behavior Data, Marco Giurgiu & J. B. J. (Hans) Bussmann6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data, Eco J. C. de Geus & Martin J. Gevonden7. Analysis of Phone Logs and Phone Usage Patterns, Sandrine R. Müller, Aaron Cohen, Marcel Enge, & John F. Rauthmann8. Mobile Application Usage in Psychological Research, Larissa Sust, Sanaz Talaifar, & Clemens Stachl9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data, Koustuv Saha & Munmun De Choudhury10. Behavioral Audio Signal Processing in Mobile Sensing Research, Rajat Hebbar, Arindam Jati, Tiantian Feng, Ramon Reyes, Alexander F. Danvers, Matthias R. Mehl, & Shrikanth S. Narayanan11. Acquisition and Analysis of Camera Sensor Data (Life Logging), Edison Thomaz & Mariella Dimiccoli12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors, Kristof Van Laerhoven13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments, Ulrich Ebner-Priemer & Philip SantangeloIII. Analysis of Mobile Sensing Data14. A Psychometric Perspective on Mobile Sensing Data, Michael Eid & Jana Holtmann15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data, Jana Holtmann, Michael Eid, & Martina Kanning16. Dynamic Network Analysis, Emorie D. Beck & Stuti Thapa17. Machine Learning for Mobile Sensing Data, Andreas M. Brandmaier18. Deep Learning Methods for Mobile Sensing, Cara J. Arizmendi, Christopher J. Urban, Kathleen M. Gates19. Big Data Dimensionality Reduction Methods, Andreas M. BrandmaierIV. Mobile Sensing Applications in Psychological Science20. Mobile Sensing in Personality Science, Felix Beierle, Sandra C. Matz, & Mathias Allemand21. Mobile Sensing Applications in Moral Psychology, Farzan Karimi-Malekabadi, Mohammad Atari, & Morteza Dehghani22. Mobile Sensing in Relationship Research, Andrea B. Horn & Adela C. Timmons23. Wearable Technologies in the Workplace: Sensing to Create Responsive Industrial and Occupational Environments Optimized for Health, Jacob N. Hyde, Johnny R. Runyon, Altaf Engineer, Beth Kramer, Casey M. Lindberg, & Esther M. Sternberg24. Emotion Detection with Mobile Sensing, Koen Niemeijer & Peter Kuppens25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research, Martin Sliwinski, Nelson Roque, & Karra Harrington26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers, Kaya de Barbaro & Caitlin M. Fausey27. Mobile Sensing in Aging Research, Birthe Macdonald, Melanie Becker, Mike Martin, & Christina Röcke28. mHealth Interventions for Health Behaviors, Christine Vinci, Brian Gonzalez, Darla Kendzor, Michael Businelle, & Santosh Kumar29. Sensing in Clinical Psychology, Geneva K. Jonathan & Dror Ben-Zeev30. Smart Interventions, Inbal Nahum-Shani31. Behavior Change, Jean Costa, Pablo Paredes, & Tanzeem Choudhury32. Mobile Sensing in Neuroscience: Predicting Brain Functional Connectivity Using Smartphone Data, Mikio Obuchi, Jeremy Huckins, Weichen Wang, Arvind Pillai, & Andrew Campbell V. Conclusions and Future Directions33. Mobile Sensing in Psychology: Where We Are and Where We Might Go From Here, Matthias R. Mehl, Michael Eid, Cornelia Wrzus, Gabriella M. Harari, & Ulrich Ebner-PriemerAuthor IndexSubject Index