URetail: Privacy User Interfaces for Intelligent Retail Stores

URetail: Privacy User Interfaces for Intelligent Retail Stores
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URetail:智能零售商店的隐私用户界面

DOI:
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发表时间:
2017
期刊:
IFIP TC13 International Conference on Human-Computer Interaction
影响因子:
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通讯作者:
Nils Vossebein
Nils Vossebein
中科院分区:
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文献类型:
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作者:
Frederic Raber;Nils Vossebein

文献摘要

被引文献

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亚马逊最近开设了第一家智能零售店,可以捕捉购物者的活动、挑选的产品和更敏感的数据。在本文中,我们提出了一个隐私用户界面,称为URetail,返回到客户控制自己的数据,通过提供一个界面来选择他的私人数据项应该被披露。我们使用雷达比喻来安排权限与上升的敏感性到不同的集群,并介绍了一个新的多维形式的雷达接口称为隐私金字塔。我们进行了一次专家访谈和一项试点研究,以确定智能零售商店中记录的数据类型,并将其按灵敏度递增的方式分组。初步的评估研究表明,雷达接口有自己的优点和缺点相比,传统的用户界面。
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.