Featured Projects
VEGA: Visual Exploration & Grouping Algorithm
Aim: Quantify the relationship among Gestalt principles
This project aims to optimize 2-D interface design by predicting how users visually group elements. We utilize a hybrid approach, grounding computational cognitive models in empirical human behavioral data (incremental grouping tasks). By integrating bottom-up visual saliency with a first principles approach, we seek to create a predictive framework that helps designers reduce cognitive load and enhance information hierarchy in complex digital environments.
Level-4 Autonomous Vehicle Environment Systems
Aim: Design the environment systems for an autonomous vehicle using non-traditional interfaces, such as gesture and voice commands.
An integrated environment control system for autonomous vehicles utilizing non-traditional multimodal interfaces. The project features a gesture-based control library (touchpad and in-air) and a novel haptic feedback system using temperature-controlled air jets. Developed within a cross-functional industry-simulated environment, the design was validated through card-sorting and mental model analysis to ensure seamless integration of climate, seating, and defrosting functions
Smart Grocery Cart
Aim: Design a smart grocery cart that allows users to bypass the checkout line
Designed and prototyped an autonomous grocery cart system featuring an integrated dashboard and barcode-free item handling. The project focused on streamlining the 'scan-to-pay' workflow and increasing accessibility by eliminating the need for mobile apps or user accounts. Validated through usability testing and the System Usability Scale (SUS) to identify key friction points in the user journey.