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Improving Privacy Settings for Facebook by Using Interpersonal Distance as Criterion

Kauer, Michaela ; Franz, Benjamin ; Pfeiffer, Thomas ; Heine, Martin ; Christin, Delphine (2013)
Improving Privacy Settings for Facebook by Using Interpersonal Distance as Criterion.
CHI Conference on Human Factors in Computing Systems. Paris, France (27.04.2013-02.05.2013)
Konferenzveröffentlichung, Zweitveröffentlichung, Verlagsversion

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Kurzbeschreibung (Abstract)

The possibility to define custom privacy settings in Facebook has been improved over the last years. Still,numerous users do not know how to change those settings or do not use the settings because they are cumbersome to use. Within this paper a new method for defining the privacy settings in online social networks is presented that uses the social distance between users as setting criterion. This approach was tested as a paper prototype in a first user study with 10 participants. Results show that the number of errors was significantly decreased and that the subjective evaluation of the interface was promising.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2013
Autor(en): Kauer, Michaela ; Franz, Benjamin ; Pfeiffer, Thomas ; Heine, Martin ; Christin, Delphine
Art des Eintrags: Zweitveröffentlichung
Titel: Improving Privacy Settings for Facebook by Using Interpersonal Distance as Criterion
Sprache: Englisch
Publikationsjahr: 2013
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2013
Buchtitel: CHI '13 Extended Abstracts on Human Factors in Computing Systems
Veranstaltungstitel: CHI Conference on Human Factors in Computing Systems
Veranstaltungsort: Paris, France
Veranstaltungsdatum: 27.04.2013-02.05.2013
URL / URN: http://tuprints.ulb.tu-darmstadt.de/3490/
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Kurzbeschreibung (Abstract):

The possibility to define custom privacy settings in Facebook has been improved over the last years. Still,numerous users do not know how to change those settings or do not use the settings because they are cumbersome to use. Within this paper a new method for defining the privacy settings in online social networks is presented that uses the social distance between users as setting criterion. This approach was tested as a paper prototype in a first user study with 10 participants. Results show that the number of errors was significantly decreased and that the subjective evaluation of the interface was promising.

Freie Schlagworte: social networks; privacy; user interface; Secure Things
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-34904
Sachgruppe der Dewey Dezimalklassifikatin (DDC): 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
100 Philosophie und Psychologie > 150 Psychologie
Fachbereich(e)/-gebiet(e): 16 Fachbereich Maschinenbau
16 Fachbereich Maschinenbau > Institut für Arbeitswissenschaft (IAD)
20 Fachbereich Informatik
20 Fachbereich Informatik > Sichere Mobile Netze
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
Hinterlegungsdatum: 25 Aug 2013 19:55
Letzte Änderung: 25 Jul 2024 10:12
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