Integrating Psychoinformatics with Ubiquitous Social Networking (Hardcover)

Felix Beierle

ISBN 10: 3030688399 / ISBN 13: 9783030688394

Editore: Springer Nature Switzerland AG, Cham, 2021

Riguardo questo articolo

Hardcover. 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. This book deepens the understanding of people through smartphone data obtained via mobile sensing and applies psychological insights for social networking applications. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Codice articolo 9783030688394

Dati bibliografici

• Titolo: Integrating Psychoinformatics with Ubiquitous Social Networking (Hardcover)
• Editore: Springer Nature Switzerland AG, Cham
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030688399
• ISBN 13: 9783030688394
• Rilegatura: Hardcover
• Condizione: new

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.?