We're using a revolutionary new approach to optimizing the process of order picking. Contrary to traditional methods, we want to use smart head-worn displays (HWDs) to enable our users to detect and correct errors during order picking in real-time, while freeing up most physical constraints and increasing throughput.
Given the importance of developers for the success of mobile platforms, it is critical for vendors to understand how platform innovations impact developer interaction activity and what issues and topics are discussed. An understanding of these issues can help providers improve their release strategies, manage developer expectations, and avoid negative reputation effects. To facilitate this understanding, we are analyzing knowledge ecosystem reactions to change in mobile software development platforms.
Mar 31 to Apr 21
30th Annual College of Computing Awards (virtual) Celebration
ML Ph.D. student Haoming Jiang will give his thesis defense.
This talk will introduce the seven Research and Engagement Grant Winners for Academic Year 2020-2021.
Yang’s research, which is being led by her Ph.D. student Jiaao Chen, aims to alleviate dependence of supervised models on labeled data via data augmentation approaches.
GT Computing, Feb 19, 2021
WIRED, Feb 17, 2021
GVU Resource Labs
Built for Success
A mobile computing "hackerspace."
Visit the App Lab website
Location: TSRB 333
GVU Prototyping Lab
From Concept to Creation
A rapid prototyping "makerspace."
Visit the Prototyping Lab website
Location: TSRB Basement
Testing Methods and Technology
An adaptable project testing space.
Visit the Usability Lab website
Location: TSRB 216