%0 Conference Proceedings
%T URetail: Privacy User Interfaces for Intelligent Retail Stores
%+ Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI)
%+ Saarland University [Saarbrücken]
%A Raber, Frederic
%A Vossebein, Nils
%Z Part 8: Interactive Posters
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 16th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Bombay, India
%Y Regina Bernhaupt
%Y Girish Dalvi
%Y Anirudha Joshi
%Y Devanuj K. Balkrishan
%Y Jacki O’Neill
%Y Marco Winckler
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2017
%V LNCS-10516
%N Part IV
%P 473-477
%8 2017-09-25
%D 2017
%R 10.1007/978-3-319-68059-0_54
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-01679771/document
%2 https://inria.hal.science/hal-01679771/file/421765_1_En_54_Chapter.pdf
%L hal-01679771
%U https://inria.hal.science/hal-01679771
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-10516