Publication
The “Retailio” Privacy Wizard: Assisting Users with Privacy Settings for Intelligent Retail Stores
Frederic Raber; David Ziemann; Antonio Krüger
In: Charles Weir; Michelle Mazurek (Hrsg.). EuroUSEC '18 : 3rd European Workshop on Usable Security. EuroUSEC European Workshop on Usable Security (EuroUSEC-18), 3rd, located at IEEE Conference on Security & Privacy, April 23, London, UCL, United Kingdom, ISBN https://dx.doi.org/10.14722/eurousec.2018.23009, Internet Society, 2018.
Abstract
Intelligent retail stores like Amazon Go collect and
process a large amount of shoppers’ personal data to offer their
service. In this paper we present Retailio, privacy management
software that allows the customer to select the private data that
should be accessible by retail stores. A privacy wizard helps the
user to set her privacy settings, by using either a small informal
privacy questionnaire or privacy measures extracted out of the
user’s Facebook posts for a machine learning-based prediction of
user-tailored privacy settings. We conducted an expert interview
to determine the different types of data that could be recorded
in intelligent retail stores, and performed a user study to find out
whether their disclosures correlate with shoppers’ personalities.
Retailio was evaluated in a validation study, regarding accuracy
of the privacy wizard and user experience of the software. Our
results show that there is a strong correlation between the IUIPC
questionnaire and the data disclosure choice, which allowed us
to predict the privacy settings with 70% accuracy.