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Technology engagement and privacy: A cluster analysis of reported social network use among transport survey respondents

机译:技术投入和隐私:交通调查受访者中报告的社交网络使用情况的聚类分析

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摘要

New technologies are constantly being researched and developed to improve the sense of security of transport users. However, security technologies could also pose their own risks with regard to transport users' privacy through the potential for data collection and storage. Transport, in particular, allows the data collector potential access to information on the users' habits through the location information that could be collected during an individual's interaction with technology during their travels. Some technologies, such as personal security apps (which essentially turn a smartphone into a type of panic alarm) also allow for the linking of the security technology and social networking apps. Given this link and the extent to which personal data, including location data, can be included in an individual's social networking account, it was decided to investigate if the use of social networks could be related to individuals' opinions on the use of their data through new technologies, such as personal security apps. This paper presents an exploration of the possibility of grouping respondents to a transport survey (N = 469) based on their answers to questions on their social networking (SNS) use. It was hypothesised that if distinct groups exist within the SNS data, then they could be used as a supplementary personal variable for underlying privacy concerns and levels of engagement with technology in future transport studies. This would be in addition to the socio-demographic information collected in the survey. This paper presents the initial dimension reduction of the response variables to create composite variables. That is followed by the exploratory clustering of responses using two-step cluster analysis. Finally, the paper discusses the hypothesis testing of the resultant clusters against the socio-demographic responses to ascertain if additional information is provided by the clustering results. The transport survey responses were collected in Ireland, and a subset of responses, from the Greater Dublin Area, were used for the analysis in this paper. The results demonstrate that there is scope for this type of method to be used when researching new security technologies in transport. (C) 2016 Elsevier Ltd. All rights reserved.
机译:不断研究和开发新技术,以改善运输用户的安全感。但是,安全技术也可能通过数据收集和存储的潜在风险来承担运输用户隐私方面的风险。特别地,运输使数据收集者有可能通过位置信息访问有关用户习惯的信息,该位置信息可以在个人旅行期间与技术进行交互时收集。一些技术,例如个人安全应用程序(本质上将智能手机变成一种紧急警报),也允许将安全技术与社交网络应用程序链接。考虑到此链接以及个人数据(包括位置数据)可以包含在个人的社交网络帐户中的程度,因此决定通过以下方式调查社交网络的使用是否可能与个人对其数据使用的意见有关:新技术,例如个人安全应用。本文基于对社交网络(SNS)使用问题的回答,提出了对进行交通调查(N = 469)的受访者进行分组的可能性的探索。假设如果SNS数据中存在不同的组,则可以将它们用作潜在的隐私问题和将来的交通研究中与技术互动水平的补充个人变量。这是对调查中收集的社会人口统计信息的补充。本文介绍了响应变量的初始降维以创建复合变量。接下来是使用两步聚类分析对响应进行探索性聚类。最后,本文讨论了根据社会人口学响应对所得聚类进行假设检验,以确定聚类结果是否提供了其他信息。本文在爱尔兰收集了运输调查的答复,并使用了大都柏林地区的一部分答复进行了分析。结果表明,在研究运输中的新安全技术时,可以使用这种方法。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Transportation research》 |2016年第2期|195-206|共12页
  • 作者单位

    Univ Dublin Trinity Coll, Ctr Transportat Res, Dept Civil Struct & Environm Engn, Dublin 2, Ireland;

    Univ Dublin Trinity Coll, Ctr Transportat Res, Dept Civil Struct & Environm Engn, Dublin 2, Ireland;

    Univ Dublin Trinity Coll, Ctr Transportat Res, Dept Civil Struct & Environm Engn, Dublin 2, Ireland;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Security; Privacy; Social networking;

    机译:安全性;隐私性;社交网络;

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