
Explores how listeners interpret spoken language, focusing on reference comprehension. Examines the integration of linguistic conventions and contextual information, suggesting comprehension optimizes for generic rather than specific speakers.

Explore techniques for training robots with minimal human feedback, including reinforcement learning, language corrections, and leveraging pretrained vision-language models for direct supervision.

Learn computer vision fundamentals and apply them to real-world projects using Jetson Nano. Develop skills in eye tracking, self-driving car simulation, and face recognition with hands-on experience.

Explore counterfactual simulation's role in causal cognition, examining its impact on judgments, explanations, and responsibility attribution in physical and psychological domains.

Explore the fascinating interplay between gaze and attention, delving into cutting-edge research and insights on visual perception and cognitive processes.

Explore the fascinating convergence of eye-tracking technology and AI, examining their limitations and potential for collaboration in advancing technological innovation.

Explore eye-tracking's potential in AI-driven personalization for user-adaptive systems. Learn about predicting cognitive skills, affective states, and applications in visualizations and tutoring.

Explore cutting-edge research on VR locomotion techniques, including foldable spaces, desk VR travel, eye tracking prediction, redirected walking, and seated leaning interfaces.

Explore cutting-edge insights on interactive surfaces and spaces in this captivating keynote by Pourang Irani, delving into the future of human-computer interaction and spatial computing.

Explore eye tracking technology's applications in mathematics education, research, and accessibility, uncovering insights into cognitive processes and learning strategies.

Explore virtual reality's impact on self-driving cars and user experience with Volvo Cars' innovation leader. Discover how dreams fuel discipline and drive technological advancements.

Explore a framework for detecting mode confusion in older drivers using automated vehicles, utilizing eye-tracking data and machine learning to enhance safety and usability.

Explore how human abilities shape digital experiences, focusing on motor systems, vision, and cognitive abilities for improved accessibility and user-centered design.

Explore alternative input methods for Linux desktops, including speech recognition, eye tracking, and foot pedals. Learn about ergonomic solutions for programmers seeking functionality and customization.

Exploring eye-tracking technology's potential to revolutionize human-machine interaction, enhancing usability and user experience across digital interfaces for a more intuitive and personalized future.

Explore topological data analysis applications in art perception, comparing responses to abstract paintings and AI-generated images through eye movement analysis and geometric feature recognition.

Explore topological data analysis applications in visual art perception, comparing eye movements for abstract paintings vs. AI-generated images using algebraic topology methods.

Dive into advanced eye-tracking prediction using transformer-guided reinforcement learning to understand and model personalized visual attention patterns and scanpaths.

Explore cutting-edge research on eye-hand coordination and object manipulation in XR environments, focusing on innovative user interface developments for near-space interactions.

Explore innovative gaze-assisted techniques for bimanual 3D interaction, combining eye tracking with hand movements for enhanced user interface control and manipulation.