13 citations · 13 across the 4 of their papers we have counts for
5 papers
Gray-Box Hallucination Detection in LLMs with Token Identities
Shaked Goldshtein, Yitzchak Grunbaum, Fabrizio Frasca +2
Large language models often produce fluent but factually incorrect output. Gray-box detectors identify such hallucinations from the token-probability statistics emitted during gene…
ShadAR: LLM-driven shader generation to transform visual perception in Augmented Reality
Yanni Mei, Samuel Wendt, Florian Mueller +1
Augmented Reality (AR) can simulate various visual perceptions, such as how individuals with colorblindness see the world. However, these simulations require developers to predefin…
Do We Need Responsible XR? Drawing on Responsible AI to Inform Ethical Research and Practice into XRAI / the Metaverse
Mark McGill, Joseph O'Hagan, Thomas Goodge +4
This position paper for the CHI 2025 workshop "Everyday AR through AI-in-the-Loop" reflects on whether as a field HCI needs to define Responsible XR as a parallel to, and in conjun…
"Create a Fear of Missing Out" -- ChatGPT Implements Unsolicited Deceptive Designs in Generated Websites Without Warning
Veronika Krauß, Mark McGill, Thomas Kosch +3
With the recent advancements in Large Language Models (LLMs), web developers increasingly apply their code-generation capabilities to website design. However, since these models ar…
Investigating Creation Perspectives and Icon Placement Preferences for On-Body Menus in Virtual Reality
Xiang Li, Wei He, Shan Jin +4
On-body menus present a novel interaction paradigm within Virtual Reality (VR) environments by embedding virtual interfaces directly onto the user's body. Unlike traditional screen…