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cs.HC2026

Visual Bias in Simulated Users: The Impact of Luminance and Contrast on Reinforcement Learning-based Interaction

Hannah Selder, Charlotte Beylier, Nico Scherf +1

Reinforcement learning (RL) enables simulations of HCI tasks, yet their validity is questionable when performance is driven by visual rendering artifacts distinct from interaction…

cs.HC2026

Who Explains Privacy Policies to Me? Embodied and Textual LLM-Powered Privacy Assistants in Virtual Reality

Vincent Freiberger, Moritz Dresch, Florian Alt +2

Virtual Reality (VR) systems collect fine-grained behavioral and biometric data, yet privacy policies are rarely read or understood due to their complex language, length, and poor…

cs.HC2025

A Retrospective on Ultrasound Mid-Air Haptics in HCI

Arthur Fleig

In 2013, the UltraHaptics system demonstrated that focused ultrasound could generate perceivable mid-air tactile sensations, building on earlier explorations of airborne ultrasound…

cs.HC2025

Explainable AI in Usable Privacy and Security: Challenges and Opportunities

Vincent Freiberger, Arthur Fleig, Erik Buchmann

Large Language Models (LLMs) are increasingly being used for automated evaluations and explaining them. However, concerns about explanation quality, consistency, and hallucinations…

cs.HC2025

"You don't need a university degree to comprehend data protection this way": LLM-Powered Interactive Privacy Policy Assessment

Vincent Freiberger, Arthur Fleig, Erik Buchmann

Protecting online privacy requires users to engage with and comprehend website privacy policies, but many policies are difficult and tedious to read. We present the first qualitati…

cs.HC2025

You Shall Not Pass: Warning Drivers of Unsafe Overtaking Maneuvers on Country Roads by Predicting Safe Sight Distance

Adrian Bauske, Arthur Fleig

Overtaking on country roads with possible opposing traffic is a dangerous maneuver and many proposed assistant systems assume car-to-car communication and sensors currently unavail…