Biselli, Tom ; Steinbrink, Enno ; Herbert, Franziska ; Schmidbauer-Wolf, Gina M. ; Reuter, Christian (2022)
On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas.
22nd Privacy Enhancing Technologies Symposium (PETS 2022). Sydney, Australia (11.07.2022-15.07.2022)
doi: 10.56553/popets-2022-0126
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Concise instruments to determine privacy personas – typical privacy-related user groups – are not available at present. Consequently, we aimed to identify them on a privacy knowledge–privacy behavior ratio based on a self-developed instrument. To achieve this, we conducted an item analysis (N = 820) and a confirmatory factor analysis (CFA) (N = 656) of data based on an online study with German participants. Starting with 81 items, we reduced those to an eleven-item questionnaire with the two scales privacy knowledge and privacy behavior. A subsequent cluster analysis (N = 656) revealed three distinct user groups: (1) Fundamentalists scoring high in privacy knowledge and behavior, (2) Pragmatists scoring average in privacy knowledge and behavior and (3) Unconcerned scoring low in privacy knowledge and behavior. In a closer inspection of the questionnaire, the CFAs supported the model with a close global fit based on RMSEA in a training and to a lesser extent in a cross-validation sample. Deficient local fit as well as validity and reliability coefficients well below generally accepted thresholds, however, revealed that the questionnaire in its current form cannot be considered a suitable measurement instrument for determining privacy personas. The results are discussed in terms of related persona conceptualizations, the importance of a methodologically sound investigation of corresponding privacy dimensions and our lessons learned.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2022 |
Autor(en): | Biselli, Tom ; Steinbrink, Enno ; Herbert, Franziska ; Schmidbauer-Wolf, Gina M. ; Reuter, Christian |
Art des Eintrags: | Bibliographie |
Titel: | On the Challenges of Developing a Concise Questionnaire to Identify Privacy Personas |
Sprache: | Englisch |
Publikationsjahr: | 2022 |
Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Proceedings on Privacy Enhancing Technologies |
(Heft-)Nummer: | 4 |
Reihe: | Proceedings on Privacy Enhancing Technologies |
Band einer Reihe: | 4 |
Veranstaltungstitel: | 22nd Privacy Enhancing Technologies Symposium (PETS 2022) |
Veranstaltungsort: | Sydney, Australia |
Veranstaltungsdatum: | 11.07.2022-15.07.2022 |
DOI: | 10.56553/popets-2022-0126 |
Kurzbeschreibung (Abstract): | Concise instruments to determine privacy personas – typical privacy-related user groups – are not available at present. Consequently, we aimed to identify them on a privacy knowledge–privacy behavior ratio based on a self-developed instrument. To achieve this, we conducted an item analysis (N = 820) and a confirmatory factor analysis (CFA) (N = 656) of data based on an online study with German participants. Starting with 81 items, we reduced those to an eleven-item questionnaire with the two scales privacy knowledge and privacy behavior. A subsequent cluster analysis (N = 656) revealed three distinct user groups: (1) Fundamentalists scoring high in privacy knowledge and behavior, (2) Pragmatists scoring average in privacy knowledge and behavior and (3) Unconcerned scoring low in privacy knowledge and behavior. In a closer inspection of the questionnaire, the CFAs supported the model with a close global fit based on RMSEA in a training and to a lesser extent in a cross-validation sample. Deficient local fit as well as validity and reliability coefficients well below generally accepted thresholds, however, revealed that the questionnaire in its current form cannot be considered a suitable measurement instrument for determining privacy personas. The results are discussed in terms of related persona conceptualizations, the importance of a methodologically sound investigation of corresponding privacy dimensions and our lessons learned. |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Wissenschaft und Technik für Frieden und Sicherheit (PEASEC) DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users |
Hinterlegungsdatum: | 07 Nov 2022 14:43 |
Letzte Änderung: | 11 Mai 2023 06:56 |
PPN: | 507720083 |
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