AR Research Assistant

An Ultimate Personal Research Assistant

Time:

November 2020

Team:

Shenhao Xie, Bonnie Jiang

Role:

  • Design interactions

  • Create AR prototypes

 

Overview:

The Augmented Reality Research Assistant is a proof of concept we designed and prototype to represent our interpretation of an ultimate personal assistant. As young researchers, we want to take a different approach using AR technology and redefine personal assistant in academic research. By using AR to organize, synthesize, and search their workspace and references more efficiently, researchers can concentrate on their topics and speed up the process more efficiently. The purpose of this design is not to utilize AR to complete the work for the users but to provide them a research environment that is guided and encouraging.

The users will use the product with their other devices and software. The product will make the reference, writing, and data organization more efficient.

“How might we utilize AR technology to design a personal assistant to make the early-stage research process more efficient and motivated?”

 

01 Sort by Keywords

Users can use the sort function to automatically sort existing literature into groups. They can also manually sort the sources by simply dragging the articles into the augmented reality space. The users are able to get visualized categories in less time.

 

02 Manage Organization

Using AR, the assistant provides more workspace for the researchers. The users can use horizontal, vertical, and physical space to organize their work and collaborate with the team. They do not need to switch back and forth from browsers. The dispersion of the windows is also ergonomically designed.

 

03 Reference Check

The assistant helps researchers to identify low relevance articles. The researchers will save more time reading irrelevant work. The assistant also helps to identify highlighted references within the article, searching them from various databases.

reference check.gif
 

04 Eye-tracking Search

Utilizing eye-tracking, the assistant allows a more efficient search experience. Researchers save time by switching back to the search bar in the database.

Prototype Demo