OmniWedges: Improved Radar-Based Audience Selection for Social Networks - Human-Computer Interaction - INTERACT 2019 - Part IV Access content directly
Conference Papers Year : 2019

OmniWedges: Improved Radar-Based Audience Selection for Social Networks

Abstract

Selecting the right audience for Facebook posts is a task that users often skip, resulting in unwanted post disclosure or avoidance of sharing sensitive posts. We present OmniWedges, a user interface designed to allow users of online social networks to make meaningful decisions on who to share their posts with. Our study results also show that with all Facebook friends, the error rate can be significantly reduced compared to the Facebook interface. In an interview, we were also able to spot a change in posting behavior and frequency with our interface.
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hal-02878626 , version 1 (23-06-2020)

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Frederic Raber, Antonio Krüger. OmniWedges: Improved Radar-Based Audience Selection for Social Networks. 17th IFIP Conference on Human-Computer Interaction (INTERACT), Sep 2019, Paphos, Cyprus. pp.654-658, ⟨10.1007/978-3-030-29390-1_56⟩. ⟨hal-02878626⟩
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