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A Multi-device Evaluation Approach of Passenger Information Systems in Smart Public Transport

机译:智能公共交通中旅客信息系统的多设备评估方法

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Adaptive passenger information for an enhanced mobility experience may be the next step towards a smart public transport. In our research project, we have developed a multi-device evaluation approach for adaptive passenger information systems of mobile public displays. An adaptive passenger information system needs to be aware of the passenger's context. In order to fulfill this requirement, we use the passenger's personal devices like smartphones or smart watches as context sources. In this paper, we describe our approach of a multi-device passenger information system evaluation focusing on privacy aspects. We present three different methods of pseudonyms that were used to visually link the personal information on passenger's private devices with the displayed information on the public display. In addition, we report on our evaluation results from a user study evaluating the acceptance and the intelligibility of the used visual pseudonyms.
机译:增强的移动体验的自适应乘客信息可能是迈向智能公共交通工具的下一步。在我们的研究项目中,我们开发了一种用于移动公共显示器的自适应乘客信息系统的多设备评估方法。自适应乘客信息系统需要了解乘客的背景。为了满足这一要求,我们使用乘客的个人设备,如智能手机或智能手表作为上下文来源。在本文中,我们描述了我们对隐私方面的多设备乘客信息系统评估的方法。我们展示了三种不同的假名方法,用于在视觉上将乘客私有设备的个人信息与公共显示器的信息联系起来。此外,我们还报告了我们的评估结果,从用户学习评估了使用的视觉假名的接受和智能性。

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