Mobile Sensing in Psychology
Methods and Applications
Herausgeber: Mehl, Matthias R; Ebner-Priemer, Ulrich W; Harari, Gabriella M; Wrzus, Cornelia; Eid, Michael
Mobile Sensing in Psychology
Methods and Applications
Herausgeber: Mehl, Matthias R; Ebner-Priemer, Ulrich W; Harari, Gabriella M; Wrzus, Cornelia; Eid, Michael
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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.
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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.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Guilford Publications
- Seitenzahl: 802
- Erscheinungstermin: 20. November 2023
- Englisch
- Abmessung: 260mm x 182mm x 43mm
- Gewicht: 1522g
- ISBN-13: 9781462553105
- ISBN-10: 1462553109
- Artikelnr.: 68325229
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Guilford Publications
- Seitenzahl: 802
- Erscheinungstermin: 20. November 2023
- Englisch
- Abmessung: 260mm x 182mm x 43mm
- Gewicht: 1522g
- ISBN-13: 9781462553105
- ISBN-10: 1462553109
- Artikelnr.: 68325229
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
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.
I. Mobile Sensing: Background and Key Concepts 1. How to Conduct Mobile Sensing Research
Gabriella M. Harari
Serena Soh
& Lara Kroencke 2. Designing for Privacy in Mobile Sensing Systems
Jason I. Hong 3. Transparency and Reproducibility in Mobile Sensing Research
Cornelia Wrzus & Ramona Schoedel II. Mobile Sensors: Technological Know-How and Methodological How-To 4. Acquisition and Analysis of Location Data
Sven Lautenbach
Sarah Lohr
& Markus Reichert 5. Acquisition and Analysis of Physical Behavior Data
Marco Giurgiu & J. B. J. (Hans) Bussmann 6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data
Eco J. C. de Geus & Martin J. Gevonden 7. Analysis of Phone Logs and Phone Usage Patterns
Sandrine R. Müller
Aaron Cohen
Marcel Enge
& John F. Rauthmann 8. Mobile Application Usage in Psychological Research
Larissa Sust
Sanaz Talaifar
& Clemens Stachl 9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data
Koustuv Saha & Munmun De Choudhury 10. Behavioral Audio Signal Processing in Mobile Sensing Research
Rajat Hebbar
Arindam Jati
Tiantian Feng
Ramon Reyes
Alexander F. Danvers
Matthias R. Mehl
& Shrikanth S. Narayanan 11. Acquisition and Analysis of Camera Sensor Data (Life Logging)
Edison Thomaz & Mariella Dimiccoli 12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors
Kristof Van Laerhoven 13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments
Ulrich Ebner-Priemer & Philip Santangelo III. Analysis of Mobile Sensing Data 14. A Psychometric Perspective on Mobile Sensing Data
Michael Eid & Jana Holtmann 15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data
Jana Holtmann
Michael Eid
& Martina Kanning 16. Dynamic Network Analysis
Emorie D. Beck & Stuti Thapa 17. Machine Learning for Mobile Sensing Data
Andreas M. Brandmaier 18. Deep Learning Methods for Mobile Sensing
Cara J. Arizmendi
Christopher J. Urban
Kathleen M. Gates 19. Big Data Dimensionality Reduction Methods
Andreas M. Brandmaier IV. Mobile Sensing Applications in Psychological Science 20. Mobile Sensing in Personality Science
Felix Beierle
Sandra C. Matz
& Mathias Allemand 21. Mobile Sensing Applications in Moral Psychology
Farzan Karimi-Malekabadi
Mohammad Atari
& Morteza Dehghani 22. Mobile Sensing in Relationship Research
Andrea B. Horn & Adela C. Timmons 23. 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. Sternberg 24. Emotion Detection with Mobile Sensing
Koen Niemeijer & Peter Kuppens 25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research
Martin Sliwinski
Nelson Roque
& Karra Harrington 26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers
Kaya de Barbaro & Caitlin M. Fausey 27. Mobile Sensing in Aging Research
Birthe Macdonald
Melanie Becker
Mike Martin
& Christina Röcke 28. mHealth Interventions for Health Behaviors
Christine Vinci
Brian Gonzalez
Darla Kendzor
Michael Businelle
& Santosh Kumar 29. Sensing in Clinical Psychology
Geneva K. Jonathan & Dror Ben-Zeev 30. Smart Interventions
Inbal Nahum-Shani 31. Behavior Change
Jean Costa
Pablo Paredes
& Tanzeem Choudhury 32. 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 Directions 33. 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-Priemer Author Index Subject Index
Gabriella M. Harari
Serena Soh
& Lara Kroencke 2. Designing for Privacy in Mobile Sensing Systems
Jason I. Hong 3. Transparency and Reproducibility in Mobile Sensing Research
Cornelia Wrzus & Ramona Schoedel II. Mobile Sensors: Technological Know-How and Methodological How-To 4. Acquisition and Analysis of Location Data
Sven Lautenbach
Sarah Lohr
& Markus Reichert 5. Acquisition and Analysis of Physical Behavior Data
Marco Giurgiu & J. B. J. (Hans) Bussmann 6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data
Eco J. C. de Geus & Martin J. Gevonden 7. Analysis of Phone Logs and Phone Usage Patterns
Sandrine R. Müller
Aaron Cohen
Marcel Enge
& John F. Rauthmann 8. Mobile Application Usage in Psychological Research
Larissa Sust
Sanaz Talaifar
& Clemens Stachl 9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data
Koustuv Saha & Munmun De Choudhury 10. Behavioral Audio Signal Processing in Mobile Sensing Research
Rajat Hebbar
Arindam Jati
Tiantian Feng
Ramon Reyes
Alexander F. Danvers
Matthias R. Mehl
& Shrikanth S. Narayanan 11. Acquisition and Analysis of Camera Sensor Data (Life Logging)
Edison Thomaz & Mariella Dimiccoli 12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors
Kristof Van Laerhoven 13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments
Ulrich Ebner-Priemer & Philip Santangelo III. Analysis of Mobile Sensing Data 14. A Psychometric Perspective on Mobile Sensing Data
Michael Eid & Jana Holtmann 15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data
Jana Holtmann
Michael Eid
& Martina Kanning 16. Dynamic Network Analysis
Emorie D. Beck & Stuti Thapa 17. Machine Learning for Mobile Sensing Data
Andreas M. Brandmaier 18. Deep Learning Methods for Mobile Sensing
Cara J. Arizmendi
Christopher J. Urban
Kathleen M. Gates 19. Big Data Dimensionality Reduction Methods
Andreas M. Brandmaier IV. Mobile Sensing Applications in Psychological Science 20. Mobile Sensing in Personality Science
Felix Beierle
Sandra C. Matz
& Mathias Allemand 21. Mobile Sensing Applications in Moral Psychology
Farzan Karimi-Malekabadi
Mohammad Atari
& Morteza Dehghani 22. Mobile Sensing in Relationship Research
Andrea B. Horn & Adela C. Timmons 23. 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. Sternberg 24. Emotion Detection with Mobile Sensing
Koen Niemeijer & Peter Kuppens 25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research
Martin Sliwinski
Nelson Roque
& Karra Harrington 26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers
Kaya de Barbaro & Caitlin M. Fausey 27. Mobile Sensing in Aging Research
Birthe Macdonald
Melanie Becker
Mike Martin
& Christina Röcke 28. mHealth Interventions for Health Behaviors
Christine Vinci
Brian Gonzalez
Darla Kendzor
Michael Businelle
& Santosh Kumar 29. Sensing in Clinical Psychology
Geneva K. Jonathan & Dror Ben-Zeev 30. Smart Interventions
Inbal Nahum-Shani 31. Behavior Change
Jean Costa
Pablo Paredes
& Tanzeem Choudhury 32. 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 Directions 33. 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-Priemer Author Index Subject Index
I. Mobile Sensing: Background and Key Concepts 1. How to Conduct Mobile Sensing Research
Gabriella M. Harari
Serena Soh
& Lara Kroencke 2. Designing for Privacy in Mobile Sensing Systems
Jason I. Hong 3. Transparency and Reproducibility in Mobile Sensing Research
Cornelia Wrzus & Ramona Schoedel II. Mobile Sensors: Technological Know-How and Methodological How-To 4. Acquisition and Analysis of Location Data
Sven Lautenbach
Sarah Lohr
& Markus Reichert 5. Acquisition and Analysis of Physical Behavior Data
Marco Giurgiu & J. B. J. (Hans) Bussmann 6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data
Eco J. C. de Geus & Martin J. Gevonden 7. Analysis of Phone Logs and Phone Usage Patterns
Sandrine R. Müller
Aaron Cohen
Marcel Enge
& John F. Rauthmann 8. Mobile Application Usage in Psychological Research
Larissa Sust
Sanaz Talaifar
& Clemens Stachl 9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data
Koustuv Saha & Munmun De Choudhury 10. Behavioral Audio Signal Processing in Mobile Sensing Research
Rajat Hebbar
Arindam Jati
Tiantian Feng
Ramon Reyes
Alexander F. Danvers
Matthias R. Mehl
& Shrikanth S. Narayanan 11. Acquisition and Analysis of Camera Sensor Data (Life Logging)
Edison Thomaz & Mariella Dimiccoli 12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors
Kristof Van Laerhoven 13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments
Ulrich Ebner-Priemer & Philip Santangelo III. Analysis of Mobile Sensing Data 14. A Psychometric Perspective on Mobile Sensing Data
Michael Eid & Jana Holtmann 15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data
Jana Holtmann
Michael Eid
& Martina Kanning 16. Dynamic Network Analysis
Emorie D. Beck & Stuti Thapa 17. Machine Learning for Mobile Sensing Data
Andreas M. Brandmaier 18. Deep Learning Methods for Mobile Sensing
Cara J. Arizmendi
Christopher J. Urban
Kathleen M. Gates 19. Big Data Dimensionality Reduction Methods
Andreas M. Brandmaier IV. Mobile Sensing Applications in Psychological Science 20. Mobile Sensing in Personality Science
Felix Beierle
Sandra C. Matz
& Mathias Allemand 21. Mobile Sensing Applications in Moral Psychology
Farzan Karimi-Malekabadi
Mohammad Atari
& Morteza Dehghani 22. Mobile Sensing in Relationship Research
Andrea B. Horn & Adela C. Timmons 23. 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. Sternberg 24. Emotion Detection with Mobile Sensing
Koen Niemeijer & Peter Kuppens 25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research
Martin Sliwinski
Nelson Roque
& Karra Harrington 26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers
Kaya de Barbaro & Caitlin M. Fausey 27. Mobile Sensing in Aging Research
Birthe Macdonald
Melanie Becker
Mike Martin
& Christina Röcke 28. mHealth Interventions for Health Behaviors
Christine Vinci
Brian Gonzalez
Darla Kendzor
Michael Businelle
& Santosh Kumar 29. Sensing in Clinical Psychology
Geneva K. Jonathan & Dror Ben-Zeev 30. Smart Interventions
Inbal Nahum-Shani 31. Behavior Change
Jean Costa
Pablo Paredes
& Tanzeem Choudhury 32. 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 Directions 33. 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-Priemer Author Index Subject Index
Gabriella M. Harari
Serena Soh
& Lara Kroencke 2. Designing for Privacy in Mobile Sensing Systems
Jason I. Hong 3. Transparency and Reproducibility in Mobile Sensing Research
Cornelia Wrzus & Ramona Schoedel II. Mobile Sensors: Technological Know-How and Methodological How-To 4. Acquisition and Analysis of Location Data
Sven Lautenbach
Sarah Lohr
& Markus Reichert 5. Acquisition and Analysis of Physical Behavior Data
Marco Giurgiu & J. B. J. (Hans) Bussmann 6. Acquisition and Analysis of Ambulatory Autonomic Nervous System Data
Eco J. C. de Geus & Martin J. Gevonden 7. Analysis of Phone Logs and Phone Usage Patterns
Sandrine R. Müller
Aaron Cohen
Marcel Enge
& John F. Rauthmann 8. Mobile Application Usage in Psychological Research
Larissa Sust
Sanaz Talaifar
& Clemens Stachl 9. Examining Well-Being in Situated Contexts with Computational Modeling of Social Media Data
Koustuv Saha & Munmun De Choudhury 10. Behavioral Audio Signal Processing in Mobile Sensing Research
Rajat Hebbar
Arindam Jati
Tiantian Feng
Ramon Reyes
Alexander F. Danvers
Matthias R. Mehl
& Shrikanth S. Narayanan 11. Acquisition and Analysis of Camera Sensor Data (Life Logging)
Edison Thomaz & Mariella Dimiccoli 12. Beyond the Smartphone: The Future of Wearables as Mobile Sensors
Kristof Van Laerhoven 13. Viva Experience Sampling: Combining Passive Mobile Sensing with Active Momentary Assessments
Ulrich Ebner-Priemer & Philip Santangelo III. Analysis of Mobile Sensing Data 14. A Psychometric Perspective on Mobile Sensing Data
Michael Eid & Jana Holtmann 15. Dynamic Structural Equation Modeling for the Analysis of Mobile Sensing Data
Jana Holtmann
Michael Eid
& Martina Kanning 16. Dynamic Network Analysis
Emorie D. Beck & Stuti Thapa 17. Machine Learning for Mobile Sensing Data
Andreas M. Brandmaier 18. Deep Learning Methods for Mobile Sensing
Cara J. Arizmendi
Christopher J. Urban
Kathleen M. Gates 19. Big Data Dimensionality Reduction Methods
Andreas M. Brandmaier IV. Mobile Sensing Applications in Psychological Science 20. Mobile Sensing in Personality Science
Felix Beierle
Sandra C. Matz
& Mathias Allemand 21. Mobile Sensing Applications in Moral Psychology
Farzan Karimi-Malekabadi
Mohammad Atari
& Morteza Dehghani 22. Mobile Sensing in Relationship Research
Andrea B. Horn & Adela C. Timmons 23. 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. Sternberg 24. Emotion Detection with Mobile Sensing
Koen Niemeijer & Peter Kuppens 25. Cognition on the Go: Opportunities and Challenges for Mobile Cognitive Health Research
Martin Sliwinski
Nelson Roque
& Karra Harrington 26. Mobile Sensing in Developmental Science: A Practical Guide for Researchers
Kaya de Barbaro & Caitlin M. Fausey 27. Mobile Sensing in Aging Research
Birthe Macdonald
Melanie Becker
Mike Martin
& Christina Röcke 28. mHealth Interventions for Health Behaviors
Christine Vinci
Brian Gonzalez
Darla Kendzor
Michael Businelle
& Santosh Kumar 29. Sensing in Clinical Psychology
Geneva K. Jonathan & Dror Ben-Zeev 30. Smart Interventions
Inbal Nahum-Shani 31. Behavior Change
Jean Costa
Pablo Paredes
& Tanzeem Choudhury 32. 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 Directions 33. 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-Priemer Author Index Subject Index