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Mobile Sensing in Psychology

Author: Thomas R. Insel

Publisher:

Published: 2024

Total Pages: 0

ISBN-13: 9781462553129

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"The possibilities mobile sensing opens up for the social, behavioral, biomedical, and life sciences appear almost infinite and are bound to become even more comprehensive in the years to come. However, data collection with new information technology also poses new challenges for research and applied fields. Is everything that is possible also legally allowed? What are the personal and societal consequences of the possible deep insights into very private areas of life for research ethics and the relations between the researchers and those being researched? How can data be stored so that anonymity and privacy are preserved? How can quality criteria be formulated for this new and rapidly developing field of research? And how can we ensure that information and predictions derived from mobile sensing are psychometrically accurate and practically useful as we move from scientific proof-of-concept measurements to medical/clinical measurements that aim at supporting and improving the diagnostic process? This handbook answers these questions and based on the conviction that a profound understanding and the sound application of mobile sensing methods require specific knowledge and competencies: scientific background and the key concepts, how to generally plan and conduct a mobile sensing study, different methods of data collection with mobile sensing, both in terms of the technological know-how and the methodological how-to, and possibilities and limitations of mobile sensing and of best-practice examples from different areas of application"--

Book Synopsis Mobile Sensing in Psychology by : Thomas R. Insel

Download or read book Mobile Sensing in Psychology written by Thomas R. Insel and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The possibilities mobile sensing opens up for the social, behavioral, biomedical, and life sciences appear almost infinite and are bound to become even more comprehensive in the years to come. However, data collection with new information technology also poses new challenges for research and applied fields. Is everything that is possible also legally allowed? What are the personal and societal consequences of the possible deep insights into very private areas of life for research ethics and the relations between the researchers and those being researched? How can data be stored so that anonymity and privacy are preserved? How can quality criteria be formulated for this new and rapidly developing field of research? And how can we ensure that information and predictions derived from mobile sensing are psychometrically accurate and practically useful as we move from scientific proof-of-concept measurements to medical/clinical measurements that aim at supporting and improving the diagnostic process? This handbook answers these questions and based on the conviction that a profound understanding and the sound application of mobile sensing methods require specific knowledge and competencies: scientific background and the key concepts, how to generally plan and conduct a mobile sensing study, different methods of data collection with mobile sensing, both in terms of the technological know-how and the methodological how-to, and possibilities and limitations of mobile sensing and of best-practice examples from different areas of application"--

Mobile Sensing in Psychology

Author: Matthias R. Mehl

Publisher: Guilford Publications

Published: 2023-10-06

Total Pages: 819

ISBN-13: 1462553117

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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.

Book Synopsis Mobile Sensing in Psychology by : Matthias R. Mehl

Download or read book Mobile Sensing in Psychology written by Matthias R. Mehl and published by Guilford Publications. This book was released on 2023-10-06 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Digital Phenotyping and Mobile Sensing

Author: Harald Baumeister

Publisher: Springer Nature

Published: 2019-10-31

Total Pages: 291

ISBN-13: 3030316203

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This book offers a snapshot of cutting-edge applications of mobile sensing for digital phenotyping in the field of Psychoinformatics. The respective chapters, written by authoritative researchers, cover various aspects related to the use of these technologies in health, education, and cognitive science research. They share insights both into established applications of mobile sensing (such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns) and emerging trends. Machine learning and deep learning approaches are discussed, and important considerations regarding privacy risks and ethical issues are assessed. In addition to essential background information on various technologies and theoretical methods, the book also presents relevant case studies and good scientific practices, thus addressing researchers and professionals alike. To cite Thomas R. Insel, who wrote the foreword to this book: “Patients will only use digital phenotyping if it solves a problem, perhaps a digital smoke alarm that can prevent a crisis. Providers will only use digital phenotyping if it fits seamlessly into their crowded workflow. If we can earn public trust, there is every reason to be excited about this new field. Suddenly, studying human behavior at scale, over months and years, is feasible.”

Book Synopsis Digital Phenotyping and Mobile Sensing by : Harald Baumeister

Download or read book Digital Phenotyping and Mobile Sensing written by Harald Baumeister and published by Springer Nature. This book was released on 2019-10-31 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a snapshot of cutting-edge applications of mobile sensing for digital phenotyping in the field of Psychoinformatics. The respective chapters, written by authoritative researchers, cover various aspects related to the use of these technologies in health, education, and cognitive science research. They share insights both into established applications of mobile sensing (such as predicting personality or mental and behavioral health on the basis of smartphone usage patterns) and emerging trends. Machine learning and deep learning approaches are discussed, and important considerations regarding privacy risks and ethical issues are assessed. In addition to essential background information on various technologies and theoretical methods, the book also presents relevant case studies and good scientific practices, thus addressing researchers and professionals alike. To cite Thomas R. Insel, who wrote the foreword to this book: “Patients will only use digital phenotyping if it solves a problem, perhaps a digital smoke alarm that can prevent a crisis. Providers will only use digital phenotyping if it fits seamlessly into their crowded workflow. If we can earn public trust, there is every reason to be excited about this new field. Suddenly, studying human behavior at scale, over months and years, is feasible.”

Integrating Psychoinformatics with Ubiquitous Social Networking

Author: Felix Beierle

Publisher: Springer Nature

Published: 2021-04-23

Total Pages: 210

ISBN-13: 3030688402

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This book deepens the understanding of people through smartphone data obtained via mobile sensing and applies psychological insights for social networking applications. The author first introduces TYDR, an application for researching smartphone data and user personality. A novel, structured privacy model for mobile sensing applications is developed and the obtained empirical results help researchers gauge what data they can expect users to share in daily-life studies. The new research findings, the concept of mobile sensing, and psychological insights about the formation and structure of real-life social networks are integrated into the field of social networking. Finally, for this novel integration, the author presents concepts, decentralized software architectures, and fully realized prototypes that recommend new contacts, media, and locations to individual users and groups of users.

Book Synopsis Integrating Psychoinformatics with Ubiquitous Social Networking by : Felix Beierle

Download or read book Integrating Psychoinformatics with Ubiquitous Social Networking written by Felix Beierle and published by Springer Nature. This book was released on 2021-04-23 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deepens the understanding of people through smartphone data obtained via mobile sensing and applies psychological insights for social networking applications. The author first introduces TYDR, an application for researching smartphone data and user personality. A novel, structured privacy model for mobile sensing applications is developed and the obtained empirical results help researchers gauge what data they can expect users to share in daily-life studies. The new research findings, the concept of mobile sensing, and psychological insights about the formation and structure of real-life social networks are integrated into the field of social networking. Finally, for this novel integration, the author presents concepts, decentralized software architectures, and fully realized prototypes that recommend new contacts, media, and locations to individual users and groups of users.

Digital Phenotyping and Mobile Sensing

Author: Christian Montag

Publisher: Springer Nature

Published: 2022-07-22

Total Pages: 466

ISBN-13: 3030985466

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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.

Book Synopsis Digital Phenotyping and Mobile Sensing by : Christian Montag

Download or read book Digital Phenotyping and Mobile Sensing written by Christian Montag and published by Springer Nature. This book was released on 2022-07-22 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Oxford Handbook of Psychological Situations

Author: John F. Rauthmann

Publisher: Oxford University Press

Published: 2020-07-01

Total Pages: 632

ISBN-13: 0190263350

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Situations matter. They let people express their personalities and values; provoke motivations, emotions, and behaviors; and are the contexts in which people reason and act. The psychological assessment of situations is a new and rapidly developing area of research, particularly within the fields of personality and social psychology. This volume compiles state-of-the-art knowledge on psychological situations in chapters written by experts in their respective research areas. Bringing together historical reviews, theoretical pieces, methodological descriptions, and empirical applications, this volume is the definitive, go-to source for a psychology of situations.

Book Synopsis The Oxford Handbook of Psychological Situations by : John F. Rauthmann

Download or read book The Oxford Handbook of Psychological Situations written by John F. Rauthmann and published by Oxford University Press. This book was released on 2020-07-01 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: Situations matter. They let people express their personalities and values; provoke motivations, emotions, and behaviors; and are the contexts in which people reason and act. The psychological assessment of situations is a new and rapidly developing area of research, particularly within the fields of personality and social psychology. This volume compiles state-of-the-art knowledge on psychological situations in chapters written by experts in their respective research areas. Bringing together historical reviews, theoretical pieces, methodological descriptions, and empirical applications, this volume is the definitive, go-to source for a psychology of situations.

Integrating Psychoinformatics with Ubiquitous Social Networking

Author: Felix Beierle

Publisher: Springer

Published: 2022-04-24

Total Pages: 196

ISBN-13: 9783030688424

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Book Synopsis Integrating Psychoinformatics with Ubiquitous Social Networking by : Felix Beierle

Download or read book Integrating Psychoinformatics with Ubiquitous Social Networking written by Felix Beierle and published by Springer. This book was released on 2022-04-24 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deepens the understanding of people through smartphone data obtained via mobile sensing and applies psychological insights for social networking applications. The author first introduces TYDR, an application for researching smartphone data and user personality. A novel, structured privacy model for mobile sensing applications is developed and the obtained empirical results help researchers gauge what data they can expect users to share in daily-life studies. The new research findings, the concept of mobile sensing, and psychological insights about the formation and structure of real-life social networks are integrated into the field of social networking. Finally, for this novel integration, the author presents concepts, decentralized software architectures, and fully realized prototypes that recommend new contacts, media, and locations to individual users and groups of users.

The Handbook of Personality Dynamics and Processes

Author: John F. Rauthmann

Publisher: Academic Press

Published: 2021-01-20

Total Pages: 1406

ISBN-13: 012813996X

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The Handbook of Personality Dynamics and Processes is a primer to the basic and most important concepts, theories, methods, empirical findings, and applications of personality dynamics and processes. This book details how personality psychology has evolved from descriptive research to a more explanatory and dynamic science of personality, thus bridging structure- and process-based approaches, and it also reflects personality psychology’s interest in the dynamic organization and interplay of thoughts, feelings, desires, and actions within persons who are always embedded into social, cultural and historic contexts. The Handbook of Personality Dynamics and Processes tackles each topic with a range of methods geared towards assessing and analyzing their dynamic nature, such as ecological momentary sampling of personality manifestations in real-life; dynamic modeling of time-series or longitudinal personality data; network modeling and simulation; and systems-theoretical models of dynamic processes. Ties topics and methods together for a more dynamic understanding of personality Summarizes existing knowledge and insights of personality dynamics and processes Covers a broad compilation of cutting-edge insights Addresses the biophysiological and social mechanisms underlying the expression and effects of personality Examines within-person consistency and variability

Book Synopsis The Handbook of Personality Dynamics and Processes by : John F. Rauthmann

Download or read book The Handbook of Personality Dynamics and Processes written by John F. Rauthmann and published by Academic Press. This book was released on 2021-01-20 with total page 1406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Personality Dynamics and Processes is a primer to the basic and most important concepts, theories, methods, empirical findings, and applications of personality dynamics and processes. This book details how personality psychology has evolved from descriptive research to a more explanatory and dynamic science of personality, thus bridging structure- and process-based approaches, and it also reflects personality psychology’s interest in the dynamic organization and interplay of thoughts, feelings, desires, and actions within persons who are always embedded into social, cultural and historic contexts. The Handbook of Personality Dynamics and Processes tackles each topic with a range of methods geared towards assessing and analyzing their dynamic nature, such as ecological momentary sampling of personality manifestations in real-life; dynamic modeling of time-series or longitudinal personality data; network modeling and simulation; and systems-theoretical models of dynamic processes. Ties topics and methods together for a more dynamic understanding of personality Summarizes existing knowledge and insights of personality dynamics and processes Covers a broad compilation of cutting-edge insights Addresses the biophysiological and social mechanisms underlying the expression and effects of personality Examines within-person consistency and variability

Toward a Psychology of Uncertainty

Author: Doris Brothers

Publisher: Taylor & Francis

Published: 2011-04-12

Total Pages: 239

ISBN-13: 1135469024

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Since trauma is a thoroughly relational phenomenon, it is highly unpredictable, and cannot be made to fit within the scientific framework Freud so admired. In Toward a Psychology of Uncertainty: Trauma-Centered Psychoanalysis, Doris Brothers urges a return to a trauma-centered psychoanalysis. Making use of relational systems theory, she shows that experiences of uncertainty are continually transformed by the regulatory processes of everyday life such as feeling, knowing, forming categories, making decisions, using language, creating narratives, sensing time, remembering, forgetting, and fantasizing. Insofar as trauma destroys the certainties that organize psychological life, it plunges our relational systems into chaos and sets the stage for the emergence of rigid, life-constricting relational patterns. These trauma-generated patterns, which often involve denial of sameness and difference, the creation of complexity-reducing dualities, and the transformation of certainty into certitude, figure prominently in virtually all of the complaints for which patients seek analytic treatment. Analysts, she claims, are no more strangers to trauma than are their patients. Using in-depth clinical illustrations, Dr. Brothers demonstrates how a mutual desire to heal and to be healed from trauma draws patients and analysts into their analytic relationships. She recommends the reconceptualization of what has heretofore been considered transference and countertransference in terms of the transformation of experienced uncertainty. In her view the increased ability of both analytic partners to live with uncertainty is the mark of a successful treatment. Dr. Brothers’ perspective sheds fresh light on a variety of topics of great general interest to analysts as well as many of their patients, such as gender, the acceptance of death, faith, cult-like training programs, and burnout. Her discussions of these topics are enlivened by references to contemporary cinema and theatre.

Book Synopsis Toward a Psychology of Uncertainty by : Doris Brothers

Download or read book Toward a Psychology of Uncertainty written by Doris Brothers and published by Taylor & Francis. This book was released on 2011-04-12 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since trauma is a thoroughly relational phenomenon, it is highly unpredictable, and cannot be made to fit within the scientific framework Freud so admired. In Toward a Psychology of Uncertainty: Trauma-Centered Psychoanalysis, Doris Brothers urges a return to a trauma-centered psychoanalysis. Making use of relational systems theory, she shows that experiences of uncertainty are continually transformed by the regulatory processes of everyday life such as feeling, knowing, forming categories, making decisions, using language, creating narratives, sensing time, remembering, forgetting, and fantasizing. Insofar as trauma destroys the certainties that organize psychological life, it plunges our relational systems into chaos and sets the stage for the emergence of rigid, life-constricting relational patterns. These trauma-generated patterns, which often involve denial of sameness and difference, the creation of complexity-reducing dualities, and the transformation of certainty into certitude, figure prominently in virtually all of the complaints for which patients seek analytic treatment. Analysts, she claims, are no more strangers to trauma than are their patients. Using in-depth clinical illustrations, Dr. Brothers demonstrates how a mutual desire to heal and to be healed from trauma draws patients and analysts into their analytic relationships. She recommends the reconceptualization of what has heretofore been considered transference and countertransference in terms of the transformation of experienced uncertainty. In her view the increased ability of both analytic partners to live with uncertainty is the mark of a successful treatment. Dr. Brothers’ perspective sheds fresh light on a variety of topics of great general interest to analysts as well as many of their patients, such as gender, the acceptance of death, faith, cult-like training programs, and burnout. Her discussions of these topics are enlivened by references to contemporary cinema and theatre.

Pro Machine Learning Algorithms

Author: V Kishore Ayyadevara

Publisher: Apress

Published: 2018-06-30

Total Pages: 379

ISBN-13: 1484235649

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Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R. You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model. You will see the theory along with case studies, such as sentiment classification, fraud detection, recommender systems, and image recognition, so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers. You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence. What You Will Learn Get an in-depth understanding of all the major machine learning and deep learning algorithms Fully appreciate the pitfalls to avoid while building models Implement machine learning algorithms in the cloud Follow a hands-on approach through case studies for each algorithm Gain the tricks of ensemble learning to build more accurate models Discover the basics of programming in R/Python and the Keras framework for deep learning Who This Book Is For Business analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning.

Book Synopsis Pro Machine Learning Algorithms by : V Kishore Ayyadevara

Download or read book Pro Machine Learning Algorithms written by V Kishore Ayyadevara and published by Apress. This book was released on 2018-06-30 with total page 379 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R. You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model. You will see the theory along with case studies, such as sentiment classification, fraud detection, recommender systems, and image recognition, so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers. You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence. What You Will Learn Get an in-depth understanding of all the major machine learning and deep learning algorithms Fully appreciate the pitfalls to avoid while building models Implement machine learning algorithms in the cloud Follow a hands-on approach through case studies for each algorithm Gain the tricks of ensemble learning to build more accurate models Discover the basics of programming in R/Python and the Keras framework for deep learning Who This Book Is For Business analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning.