activity
20212026
most citedCongruence and Plausibility, not Presence?! Pivotal Conditions for XR Experiences and Effects, a Novel Model

104 citations · 181 across the 15 of their papers we have counts for

collaborators

15 papers

cs.HC2026

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…

cs.HC2026

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…

cs.HC2025★ 1 cited

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…

cs.HC2025

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…

cs.CR2024★ 8 cited

Effect of Duration and Delay on the Identifiability of VR Motion

Mark Roman Miller, Vivek Nair, Eugy Han +7

Social virtual reality is an emerging medium of communication. In this medium, a user's avatar (virtual representation) is controlled by the tracked motion of the user's headset an…

cs.HC2024

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…

cs.CR2024★ 3 cited

Effect of Data Degradation on Motion Re-Identification

Vivek Nair, Mark Roman Miller, Rui Wang +4

The use of virtual and augmented reality devices is increasing, but these sensor-rich devices pose risks to privacy. The ability to track a user's motion and infer the identity or…

cs.HC2024

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,…

cs.HC2024★ 15 cited

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…

cs.HC2023★ 27 cited

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…

cs.AI2023★ 12 cited

MAILS -- Meta AI Literacy Scale: Development and Testing of an AI Literacy Questionnaire Based on Well-Founded Competency Models and Psychological Change- and Meta-Competencies

Astrid Carolus, Martin Koch, Samantha Straka +2

The goal of the present paper is to develop and validate a questionnaire to assess AI literacy. In particular, the questionnaire should be deeply grounded in the existing literatur…

cs.HC2023★ 5 cited

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…

cs.HC2022★ 3 cited

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…

cs.AI2021★ 3 cited

eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research

Carolin Wienrich, Marc Erich Latoschik

Artificial Intelligence (AI) covers a broad spectrum of computational problems and use cases. Many of those implicate profound and sometimes intricate questions of how humans inter…

cs.HC2021★ 104 cited

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…