Digital Phenotyping and Mobile Sensing

Digital Phenotyping and Mobile Sensing

Author: Harald Baumeister

Publisher: Springer Nature

Published: 2019-10-31

Total Pages: 291

ISBN-13: 3030316203

DOWNLOAD EBOOK

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.”


Digital Phenotyping and Mobile Sensing

Digital Phenotyping and Mobile Sensing

Author: Christian Montag

Publisher: Springer Nature

Published: 2022-07-22

Total Pages: 466

ISBN-13: 3030985466

DOWNLOAD EBOOK

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.


Mobile Sensing in Psychology

Mobile Sensing in Psychology

Author: Matthias R. Mehl

Publisher: Guilford Publications

Published: 2023-12-18

Total Pages: 818

ISBN-13: 1462553109

DOWNLOAD EBOOK

"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"--


Current Status of and Future Directions for Assessing Technology Acceptance for Digital (Mental) Health Interventions

Current Status of and Future Directions for Assessing Technology Acceptance for Digital (Mental) Health Interventions

Author: Jennifer Apolinário-Hagen

Publisher: Frontiers Media SA

Published: 2024-09-02

Total Pages: 116

ISBN-13: 2832553842

DOWNLOAD EBOOK

Recently, digital interventions have proliferated and show promising results in preventing and treating common mental health disorders, such as depression, in different settings (e.g., workplaces). Digital interventions may have advantages over face-to-face interventions (e.g., more accessible; easily customisable; real-time monitoring). However, despite efforts made by healthcare systems worldwide (e.g., apps on prescription in Germany), actual adoption is still rather low in many countries. It is essential to understand innovation acceptance in order to tailor digital interventions and to measure user technology acceptance. In this way, determinants can be identified to derive strategies to promote acceptance. Technology acceptance has been studied extensively, resulting in the development of various theoretical models (e.g., Technology Acceptance Model-TAM; Unified Theory of Acceptance and Use of Technology-UTAUT, UTAUT2). Besides several methodological strengths, technology acceptance models also have various limitations, which makes it difficult to investigate causality or to generalize findings across different contexts, populations, and cultures.


Mobile Technology for Adaptive Aging

Mobile Technology for Adaptive Aging

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2020-10-25

Total Pages: 147

ISBN-13: 0309680867

DOWNLOAD EBOOK

To explore how mobile technology can be employed to enhance the lives of older adults, the Board on Behavioral, Cognitive, and Sensory Sciences of the National Academies of Sciences, Engineering, and Medicine commissioned 6 papers, which were presented at a workshop held on December 11 and 12, 2019. These papers review research on mobile technologies and aging, and highlight promising avenues for further research.


Digital Health

Digital Health

Author: Shabbir Syed-Abdul

Publisher: Elsevier

Published: 2020-11-14

Total Pages: 234

ISBN-13: 0128200782

DOWNLOAD EBOOK

Digital Health: Mobile and Wearable Devices for Participatory Health Applications is a key reference for engineering and clinical professionals considering the development or implementation of mobile and wearable solutions in the healthcare domain. The book presents a comprehensive overview of devices and appropriateness for the respective applications. It also explores the ethical, privacy, and cybersecurity aspects inherent in networked and mobile technologies. It offers expert perspectives on various approaches to the implementation and integration of these devices and applications across all areas of healthcare. The book is designed with a multidisciplinary audience in mind; from software developers and biomedical engineers who are designing these devices to clinical professionals working with patients and engineers on device testing, human factors design, and user engagement/compliance. - Presents an overview of important aspects of digital health, from patient privacy and data security to the development and implementation of networks, systems, and devices - Provides a toolbox for stakeholders involved in the decision-making regarding the design, development, and implementation of mHealth solutions - Offers case studies, key references, and insights from a wide range of global experts