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Conference Papers Year : 2017

URetail: Privacy User Interfaces for Intelligent Retail Stores

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Abstract

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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Dates and versions

hal-01679771 , version 1 (10-01-2018)

Licence

Attribution - CC BY 4.0

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Frederic Raber, Nils Vossebein. URetail: Privacy User Interfaces for Intelligent Retail Stores. 16th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2017, Bombay, India. pp.473-477, ⟨10.1007/978-3-319-68059-0_54⟩. ⟨hal-01679771⟩
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