8 papers · 1 filter
Visual Indicators to Increase the Detection of Linguistic Media Bias
Smi Hinterreiter, Anna Chelsea BahÃ, Ann-Christin Gah +3
The influence of linguistic bias in online news articles is a growing concern, particularly in the context of shaping public opinion and rising political polarization. While there…
Technological Advances in Two Generations of Consumer-Grade VR Systems: Effects on User Experience and Task Performance
Marie Luisa Fiedler, Christian Merz, Jonathan Tschanter +2
Integrated VR (IVR) systems consist of a head-mounted display (HMD) and body-tracking capabilities. They enable users to translate their physical movements into corresponding avata…
Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
Lukas Schach, Christian Rack, Ryan P. McMahan +1
This paper examines the generalization capacity of two state-of-the-art classification and similarity learning models in reliably identifying users based on their motions in variou…
Unobtrusive In-Situ Measurement of Behavior Change by Deep Metric Similarity Learning of Motion Patterns
Christian Merz, Lukas Schach, Marie Luisa Fiedler +3
This paper introduces an unobtrusive in-situ measurement method to detect user behavior changes during arbitrary exposures in XR systems. Here, such behavior changes are typically…
NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback
Smi Hinterreiter, Martin Wessel, Fabian Schliski +3
Media bias is a multifaceted problem, leading to one-sided views and impacting decision-making. A way to address digital media bias is to detect and indicate it automatically throu…
News Ninja: Gamified Annotation of Linguistic Bias in Online News
Smi Hinterreiter, Timo Spinde, Sebastian Oberdörfer +2
Recent research shows that visualizing linguistic bias mitigates its negative effects. However, reliable automatic detection methods to generate such visualizations require costly,…