Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/224558
Title: TRADEOFFS IN SURVEILLANCE AND PRIVACY TECHNOLOGIES
Authors: LAN YIHONG
ORCID iD:   orcid.org/0000-0001-7591-9781
Keywords: Privacy, Surveillance, Unmanned Retail, Digital Contact Tracing, Privacy-preserving features, Privacy Calculus
Issue Date: 8-Nov-2021
Citation: LAN YIHONG (2021-11-08). TRADEOFFS IN SURVEILLANCE AND PRIVACY TECHNOLOGIES. ScholarBank@NUS Repository.
Abstract: This thesis seeks a resolution to the aforementioned conflict by empirically investigating the IT artifacts central to the privacy-surveillance tradeoff in terms of their effectiveness in achieving both surveillance and privacy objectives. In Study One, we investigate the impact of surveillance technology in the context of an unmanned retail environment. By investigating the impact of surveillance technology on consumer behavior outcomes such as theft rate, approach rate, and conversion rate, we hope to better understand if surveillance technologies live up to the promises of improving net economic outcomes by delivering better security. In Study Two, we examine the effect of privacy-preserving features on user behavior in the context of COVID-19 digital contact tracing. We consider the possibility of surveillance technologies that achieve their surveillance objectives while preserving the privacy of its users by investigating the impact of privacy-preserving designs on user behavior.
URI: https://scholarbank.nus.edu.sg/handle/10635/224558
Appears in Collections:Ph.D Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
LanYH.pdf1.3 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.