URetail: Privacy User Interfaces for Intelligent Retail Stores

Frederic Raber, Nils Vossebein

In: Regina Bernhaupt, Girish Dalvi, Anirudha Joshi, Devanuj K. Balkrishan, Jacki O'Neill, Marco Winckler (Hrsg.). Human-Computer Interaction -- INTERACT 2017: 16th IFIP TC 13 International Conference, Proceedings. IFIP Conference on Human-Computer Interaction (INTERACT-2017) 16th September 25-29 Mumbai India IV Seiten 473-477 ISBN 978-3-319-68059-0 Springer International Publishing Cham 2017.


Amazon recently opened its first intelligent retail store, which captures shopper movements, picked-up products and much more sensitive data. In this paper we present a privacy UI, called URetail, that returns to the customer control over his own data, by offering an interface to select which of his private data items should be disclosed. We use a radar metaphor to arrange the permissions with ascending sensitivity into different clusters, and introduce a new multi-dimensional form of a radar interface called the privacy pyramid. We conducted an expert interview and a pilot study to determine which types of data are recorded in an intelligent retail store, and grouped them with ascending sensitivity into clusters. A preliminary evaluation study shows that radar interfaces have their own strengths and weaknesses compared to a conventional UI.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence