August 11, 2023
NYU Tandon researchers unveil tool to help developers create augmented reality task assistants
News2023-08-11
An interactive visual analytics tool, ARGUS is engineered to support the development of intelligent AR assistants that can run on devices like Microsoft HoloLens 2 or MagicLeap. It enables developers to collect and analyze data, model how people perform tasks, and find and fix problems in the AR assistants they are building.
Augmented reality (AR) technology has long fascinated both the scientific community and the general public, remaining a staple of modern science fiction for decades.
In the pursuit of advanced AR assistants – ones that can guide people through intricate surgeries or everyday food preparation, for example – a research team from NYU Tandon School of Engineering has introduced Augmented Reality Guidance and User-Modeling System, or ARGUS.
An interactive visual analytics tool, ARGUS is engineered to support the development of intelligent AR assistants that can run on devices like Microsoft HoloLens 2 or MagicLeap. It enables developers to collect and analyze data, model how people perform tasks, and find and fix problems in the AR assistants they are building.
Claudio Silva, NYU Tandon Institute Professor of Computer Science and Engineering and Professor of Data Science at the NYU Center for Data Science, leads the research team that will present its paper on ARGUS at IEEE VIS 2023 on October 26, 2023, in Melbourne Australia. The paper received Honorable Mention in that event’s Best Paper Awards.
In the pursuit of advanced AR assistants – ones that can guide people through intricate surgeries or everyday food preparation, for example – a research team from NYU Tandon School of Engineering has introduced Augmented Reality Guidance and User-Modeling System, or ARGUS.
An interactive visual analytics tool, ARGUS is engineered to support the development of intelligent AR assistants that can run on devices like Microsoft HoloLens 2 or MagicLeap. It enables developers to collect and analyze data, model how people perform tasks, and find and fix problems in the AR assistants they are building.
Claudio Silva, NYU Tandon Institute Professor of Computer Science and Engineering and Professor of Data Science at the NYU Center for Data Science, leads the research team that will present its paper on ARGUS at IEEE VIS 2023 on October 26, 2023, in Melbourne Australia. The paper received Honorable Mention in that event’s Best Paper Awards.