Understanding User Preferences of Digital Privacy Nudges – A Best-Worst Scaling Approach
Journal
Hawaii International Conference on System Sciences (HICSS)
Type
conference paper
Date Issued
2020-01
Author(s)
Research Team
IWI6
Abstract
Digital nudging in privacy has become more important to protect users of information systems while working with privacy-related data. Nudging is about altering a user’s behavior without forbidding any options. Several approaches exist to “nudge” users to change their behavior. Regarding the usage of digital privacy nudges, research still has to understand the meaning and relevance of individual nudges better. Therefore, this paper compares the preferences of users for different digital nudges. To achieve this goal, it presents the results of a so-called best-worst scaling. This study contributes to theory by providing a better understanding of user preferences regarding design variations of digital nudges. We support practitioners by giving implications on how to design digital nudges in terms of user preferences.
Language
English
Keywords
Nudging
User Preferences
Privacy Nudges
Digital Nudging
Best Worst Scaling
HSG Classification
contribution to scientific community
Event Title
Hawaii International Conference on System Sciences (HICSS)
Event Location
Maui, Hawaii, USA.
Division(s)
Eprints ID
257810
File(s)![Thumbnail Image]()
open.access
Name
JML_769.pdf
Size
613.87 KB
Format
Adobe PDF
Checksum (MD5)
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