104 citations · 181 across the 15 of their papers we have counts for
11 papers · 1 filter
Visual Indicators to Increase the Detection of Linguistic Media Bias
Smi Hinterreiter, Anna Chelsea Bahß, 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,…
Am I the Odd One? Exploring (In)Congruencies in the Realism of Avatars and Virtual Others in Virtual Reality
David Mal, Nina Döllinger, Erik Wolf +4
Virtual humans play a pivotal role in social virtual environments, shaping users' VR experiences. The diversity in available options and users' preferences can result in a heteroge…
Who Is Alyx? A new Behavioral Biometric Dataset for User Identification in XR
Christian Rack, Tamara Fernando, Murat Yalcin +2
This article presents a new dataset containing motion and physiological data of users playing the game "Half-Life: Alyx". The dataset specifically targets behavioral and biometric…
Versatile User Identification in Extended Reality using Pretrained Similarity-Learning
Christian Rack, Konstantin Kobs, Tamara Fernando +2
Various machine learning approaches have proven to be useful for user verification and identification based on motion data in eXtended Reality (XR). However, their real-world appli…
Resize Me! Exploring the User Experience of Embodied Realistic Modulatable Avatars for Body Image Intervention in Virtual Reality
Nina Döllinger, Erik Wolf, David Mal +4
Obesity is a serious disease that can affect both physical and psychological well-being. Due to weight stigmatization, many affected individuals suffer from body image disturbances…
Congruence and Plausibility, not Presence?! Pivotal Conditions for XR Experiences and Effects, a Novel Model
Marc Erich Latoschik, Carolin Wienrich
Presence often is considered the most important quale describing the subjective feeling of being in a computer-generated and/or computer-mediated virtual environment. The identific…