Integrating Psychoinformatics with Ubiquitous Social Networking : Advanced Mobile-Sensing Concepts and Applications

Felix Beierle

ISBN 10: 3030688429 / ISBN 13: 9783030688424

Editore: Springer International Publishing, 2022

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9783030688424

Dati bibliografici

• Titolo: Integrating Psychoinformatics with Ubiquitous Social Networking : Advanced Mobile-Sensing Concepts and Applications
• Editore: Springer International Publishing
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3030688429
• ISBN 13: 9783030688424
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 13 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 13 millimetri di profondità
• Peso: 341 grammi

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

Felix Beierle received an M.A. degree in media studies and American studies from the University of Marburg in 2009, an M.Sc. degree in computer science from the University of Hagen in 2014, and a Ph.D. in computer science from Technische Universität Berlin in 2020. His research interests include ubiquitous computing, mHealth, social networking, and recommender systems. He currently is a postdoc with the Service-centric Networking group at Technische Universität Berlin and Telekom Innovation Laboratories in Berlin, Germany.?