collaborators

10 papers

cs.HC2026

Gaze-Informed Proactive AI Assistance for Children's Picture Exploration

Zekun Wu, Man Su, Huiyong Li +2

Proactive assistance with large language models (LLMs) has received growing attention in the human computer interaction (HCI) community. However, most past work on proactive LLMs'…

cs.CY2026

Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems

Susanne Gaube, Markus Langer, Tim Miller +17

The use of Artificial Intelligence (AI) in high-risk, decision-making scenarios presents technical, safety, and normative challenges; problems that may only be ameliorated by human…

cs.HC2026

Simulating Word Suggestion Usage in Mobile Typing to Guide Intelligent Text Entry Design

Yang Li, Anna Maria Feit

Intelligent text entry (ITE) methods, such as word suggestions, are widely used in mobile typing, yet improving ITE systems is challenging because the cognitive mechanisms behind s…

cs.HC2026

Don't blame me: How Intelligent Support Affects Moral Responsibility in Human Oversight

Cedric Faas, Richard Uth, Sarah Sterz +2

AI-based systems can increasingly perform work tasks autonomously. In safety-critical tasks, human oversight of these systems is required to mitigate risks and to ensure responsibi…

cs.HC2026

Intelligent support for Human Oversight: Integrating Reinforcement Learning with Gaze Simulation to Personalize Highlighting

Thorsten Klößner, João Belo, Zekun Wu +2

Interfaces for human oversight must effectively support users' situation awareness under time-critical conditions. We explore reinforcement learning (RL)-based UI adaptation to per…

cs.HC2026

Efficient Human-in-the-Loop Optimization via Priors Learned from User Models

Yi-Chi Liao, João Belo, Hee-Seung Moon +2

Human-in-the-loop optimization identifies optimal interface designs by iteratively observing user performance. However, it often requires numerous iterations due to the lack of pri…