About: Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #84858 Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation
http://eprints.org/ontology/hasDocument	Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (PDF) Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other) Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other) Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other) Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other) Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (Other)
http://eprints.org/ontology/hasPublished	Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (PDF)
dc:hasVersion	Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation (PDF)
Title	Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
Date	2021-01-05
Creator	Hervé Borrion Ingolf Becker Michael McGuire Paul Ekblom Rebecca Posner Shujun Li Tasmina Islam
status	peer reviewed published
Publisher	University of Hawaiʻi at Mānoa
abstract	Unanticipated accumulation and dissemination of accurate location information flows is the latest iteration of the privacy debate. This mixed-methods research contributes a grounded understanding of risk perceptions, enablers and barriers to privacy preserving behaviour in a cyber-physical environment. We conducted the first representative survey on internet privacy concerns, cyber and physical risk taking, privacy victimisation, usage of location sharing apps and transport choices in the UK with 466 participants. The responses segregated participants into four distinct, novel clusters (cyber risk takers, physical risk takers, transport innovators, and risk abstainers) with cross-validated prediction accuracy of 92%. In the second part of the study, we qualitatively explored these clusters through 12 homogeneous focus groups with 6 participants each. The predominant themes of the groups matched their clusters with little overlap between the groups. The differences in risk perception and behaviours varied greatly between the clusters. Future transport systems, apps and websites that rely on location data therefore need a more personalised approach to information provision surrounding location sharing. Failing to recognise these differences could lead to reduced data sharing, riskier sharing behaviour or even total avoidance of new forms of technology in transport.
Is Part Of	https://kar.kent.ac.uk/id/repository
Subject	BF Psychology QA 75 Electronic computers. Computer science TK5105.875.I57 Internet TK5105.888 World Wide Web
list of authors	https://kar.kent.ac.uk/id/eprint/84858#authors
presented at	54th Hawaii International Conference on System Sciences (HICSS 2021)
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3 https://raw.githubusercontent.com/annajordanous/CO644Files/main/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #84858 Privacy in Transport? Exploring Perceptions of Location Privacy Through User Segmentation

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