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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.
In: CHI '13 Extended Abstracts on Human Factors in Computing Systems, pp. 793-798 ,
New York, NY, USA, CHI Conference on Human Factors in Computing Systems, Paris, France, 27 Apr - 02 May 2013, [Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2013
Creators: Kauer, Michaela ; Franz, Benjamin ; Pfeiffer, Thomas ; Heine, Martin ; Christin, Delphine
Title: Improving Privacy Settings for Facebook by Using Interpersonal Distance as Criterion
Language: English
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.

Book Title: CHI '13 Extended Abstracts on Human Factors in Computing Systems
Place of Publication: New York, NY, USA
Uncontrolled Keywords: social networks privacy user interface
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Ergonomics (IAD)
20 Department of Computer Science
20 Department of Computer Science > Sichere Mobile Netze
Event Title: CHI Conference on Human Factors in Computing Systems
Event Location: Paris, France
Event Dates: 27 Apr - 02 May 2013
Date Deposited: 25 Aug 2013 19:55
URL / URN: http://doi.acm.org/10.1145/2468356.2468498
URN: urn:nbn:de:tuda-tuprints-34904
Additional Information:

DOI 10.1145/2468356.2468498

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