On the road – listening to data subjects' personal mobility data privacy concerns.
Efficient utilisation of new mobility data-based services and promotion of acceptance of data collection from vehicles and people demand an understanding of mobility data privacy concerns, associated with increasing use of tracking technologies, diverse data usages and complex data collection enviro...
| Publicado en: | Behaviour & Information Technology Vol. 38; no. 5; pp. 486 - 503 |
|---|---|
| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
May2019
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135800596&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135800596 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0144929X B6Q jtl: Behaviour & Information Technology issn: 0144929X maglogo: Y pubinfo: dt: May2019 vid: 38 iid: 5 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 135800596 135800596 135800596 10.1080/0144929X.2018.1540658 135800596 ppf: 486 ppct: 17 formats: tig: atl: On the road – listening to data subjects' personal mobility data privacy concerns. aug: au: Rohunen, Anna Markkula, Jouni affil: Faculty of Information Technology and Electrical Engineering (ITEE), Empirical Software Engineering in Software, Systems and Services (M3S) research unit, University of Oulu, Oulu, Finland sug: subj: Privacy and Confidentiality Data Collection Methods Research Subjects Psychosocial Factors Internet Human Exploratory Research Multimethod Studies Interviews Surveys Anxiety Thinking Information Systems Methods Global Positioning System Empirical Research Semi-Structured Interview Finland Funding Source Data Management Male Female Questionnaires Automobile Driving Access to Information Descriptive Statistics Pearson's Correlation Coefficient Chi Square Test Cost Benefit Analysis Self Disclosure Altruism Male Female ab: Efficient utilisation of new mobility data-based services and promotion of acceptance of data collection from vehicles and people demand an understanding of mobility data privacy concerns, associated with increasing use of tracking technologies, diverse data usages and complex data collection environments. Understanding privacy concerns enables improved service and system development and identification of appropriate data management solutions that contribute to data subjects' privacy protection, as well as efficient utilisation of the collected data. This study aimed to explore earlier research findings on privacy concerns evaluation and investigate their validity in mobility data collection. Explorative multimethod research was conducted in a mobility service pilot through data controller interviews, user interviews and a user survey. The study's results indicated the need to revise and complement existing privacy concerns evaluation in mobility data collection contexts. The primary findings were as follows: (1) Privacy concerns specific to the mobility data collection context exist. (2) Privacy concerns may change during the service use. (3) Users are not necessarily personally worried about their privacy although they ponder on privacy issues. (4) In contrast to traditional 'privacy calculus' thinking, users' expected benefits from data disclosure may also be driven by altruistic motives. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|