Assistant Professor, University of South Florida
HRI 2022
For mobile robots, mobile manipulators, and autonomous vehicles to safely navigate around populous places such as streets and warehouses, human observers must be able to understand their navigation intent. One way to enable such understanding is by visualizing this intent through projections onto the surrounding environment. But despite the demonstrated effectiveness of such projections,… Continue reading Projecting Robot Navigation Paths: Hardware and Software for Projected AR
AI-HRI 2020
Existing research on non-verbal cues, e.g., eye gaze or arm movement, may not accurately present a robot’s internal states such as perception results and action intent. Projecting the states directly onto a robot’s operating environment has the advantages of being direct, accurate, and more salient, eliminating mental inference about the robot’s intention. However, there… Continue reading Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability
M.S. Thesis
As a popular data mining task, frequent pattern mining has been proven to be help- ful for non-experts. For example, mining frequent purchased products helps store managers increase sales. As another example, finding popular courses assists uni- versity administrators arrange courses to avoid schedule conflicts. However, many data mining researchers have focused on improving… Continue reading Delivering Scalable Frequent Pattern Mining for Non-Expert Data Miners
WI 2016
Visual analytics on frequent web usage patterns aims to help users to (i) analyze the data so as to discover implicit, previously unknown and potentially useful information in the form of collections of frequently visited web pages in a single session and to (ii) visually represent the discovered knowledge so as to gain insight… Continue reading An Interactive Circular Visual Analytic Tool for Visualization of Web Data
