13 citations · 23 across the 9 of their papers we have counts for
9 papers · 1 filter
LandmarkLens: Predicting and Presenting Effective Landmarks for Mixed-Reality Urban Exploration
Chu Li, Yotam Sechayk, Jared Hwang +2
People with a poor sense of direction (SOD) struggle to build cognitive maps for effective spatial navigation, and existing navigation tools prioritize efficiency over spatial lear…
BlurDriving: Investigating How Personalized Blur Techniques Impact Drivers' Performance in Virtual Reality
Yuan Li, Mark Colley, Xinyue Gui +4
Distracted driving remains a major safety concern, motivating approaches that aim to reduce visual overload before attention breaks down. However, visual overload varies across ind…
Exploring the Role of User Comments Throughout the Stages of Video-Based Task-Learning
Nayoung Kim, Yotam Sechayk, Zhongyi Zhou +1
Learning tasks through videos is a dynamic way to acquire skills by witnessing entire processes. However, compared to in-person demonstrations, videos may omit tacit knowledge, inc…
Improving Low-Vision Chart Accessibility via On-Cursor Visual Context
Yotam Sechayk, Hennes Rave, Max Rädler +4
Despite widespread use, charts remain largely inaccessible for Low-Vision Individuals (LVI). Reading charts requires viewing data points within a global context, which is difficult…
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers
Ding Xia, Xinyue Gui, Mark Colley +5
Automated vehicles lack natural communication channels with other road users, making external Human-Machine Interfaces (eHMIs) essential for conveying intent and maintaining trust…
TailCue: Exploring Animal-inspired Robotic Tail for Automated Vehicles Interaction
Yuan Li, Xinyue Gui, Ding Xia +2
Automated vehicles (AVs) are gradually becoming part of our daily lives. However, effective communication between road users and AVs remains a significant challenge. Although vario…
Automating eHMI Action Design with LLMs for Automated Vehicle Communication
Ding Xia, Xinyue Gui, Fan Gao +3
The absence of explicit communication channels between automated vehicles (AVs) and other road users requires the use of external Human-Machine Interfaces (eHMIs) to convey message…
Draw2Cut: Direct On-Material Annotations for CNC Milling
Xinyue Gui, Ding Xia, Wang Gao +3
Creating custom artifacts with computer numerical control (CNC) milling machines typically requires mastery of complex computer-aided design (CAD) software. To eliminate this user…
XR-penter: Material-Aware and In Situ Design of Scrap Wood Assemblies
Ramya Iyer, Mustafa Doga Dogan, Maria Larsson +1
Woodworkers have to navigate multiple considerations when planning a project, including available resources, skill-level, and intended effort. Do it yourself (DIY) woodworkers face…