Perceived Privacy in Location-Based Mobile System
Published on 19. December 2019
Book
Hardback
XII, 185 pages
978-3-030-34170-1 (ISBN)
Description
This work aims at understanding behavior around location information, including why users share such information, why they protect the data, and what kind of other factors influence the decision to behave in a certain way. This book explores privacy in the context of location data, and answers questions such as what are the privacy related behaviors in this context, and what are the factors influencing such behaviors. The book gives an overview to what privacy means for users in terms of understandings, attitudes and valuations. This book discusses reasons for why research around this topic is challenging, and presents various methods for diving into the topic through empirical studies. The work is relevant for professionals, researchers, and users of technology.
More details
Series
Edition
2020 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
12 s/w Abbildungen, 34 farbige Abbildungen
XII, 185 p. 46 illus., 34 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 17 mm
Weight
471 gr
ISBN-13
978-3-030-34170-1 (9783030341701)
DOI
10.1007/978-3-030-34171-8
Schweitzer Classification
Other editions
Additional editions
Maija Elina Poikela
Perceived Privacy in Location-Based Mobile System
Book
12/2020
Springer
€53.49
Shipment within 7-9 days
Maija Elina Poikela
Perceived Privacy in Location-Based Mobile System
E-Book
12/2019
Springer
€53.49
Available for download
Person
Maija Poikela received her PhD on subjective privacy in location-based systems from the Quality and Usability Lab at TU Berlin, Germany. She obtained her M.Sc. degree in Signal Processing and Communications Engineering from Tampere University of Technology, Finland, in 2010, focusing on subjective quality and the human perception of stereoscopic videos. Her research focuses on usable privacy - the intersection of human users and technology - assessing the challenges posed by collection, processing, and distribution of personal information. Her work considers in particular the context of sensor data. She conducts empirical research in which she assesses the effect of various factors such as context on privacy perception and on privacy-related behaviour.
Content
Introduction.- What is Privacy.- Theoretical Background to Location Privacy.- How to Predict Location Privacy Behavior.- Perceived Risks and Benefits in LBS.- Location Disclosure and Self-Disclosure.- Quantifying Location Privacy.- Privacy Protection Behavior.- Discussion and Summary of Results.- Conclusion.