16 citations · 21 across the 6 of their papers we have counts for
6 papers · 1 filter
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'…
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…
How AI Responses Shape User Beliefs: The Effects of Information Detail and Confidence on Belief Strength and Stance
Zekun Wu, Mayank Jobanputra, Vera Demberg +2
The growing use of AI-generated responses in everyday tools raises concern about how subtle features such as supporting detail or tone of confidence may shape people's beliefs. To…
Understanding and Predicting Temporal Visual Attention Influenced by Dynamic Highlights in Monitoring Task
Zekun Wu, Anna Maria Feit
Monitoring interfaces are crucial for dynamic, highstakes tasks where effective user attention is essential. Visual highlights can guide attention effectively but may also introduc…
Enhancing Saliency Prediction in Monitoring Tasks: The Role of Visual Highlights
Zekun Wu, Anna Maria Feit
This study examines the role of visual highlights in guiding user attention in drone monitoring tasks, employing a simulated interface for observation. The experiment results show…
Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency Prediction
Anwesha Das, Zekun Wu, Iza Škrjanec +1
Visual highlighting can guide user attention in complex interfaces. However, its effectiveness under limited attentional capacities is underexplored. This paper examines the joint…