AI-Driven AR Avatars for Situated Learning

In this project, we explore using augmented reality avatars for supporting learning in low-traffic makerspaces. While makerspaces primarily provide community members with access to tools, they also serve as places to learn where community members build expertise with the equipment and fabrication processes. This learning process can either be guided formally using the makerspace as a working classroom or informally by learning through watching and socializing with peers. These learning opportunities are present in high-traffic makerspaces or at high-use times; however many makerspaces do not have consistently high traffic, or relevant expertise may be unavailable at appropriate times. Artificial intelligence offers opportunities to provide individualized learning support, however, lacks the physicality for learning spaces like makerspaces. Thus, we want to investigate ways that AI-driven AR avatars can support learning experiences in low-traffic makerspaces when human instructors or peer learning is unavailable. Our work can help democratize access to learning experiences in physical spaces such as makerspaces by increasing access to learning resources. This democratization can help to enable lifelong learning in key areas such as trades or fabrication technologies and help to create a flexible workforce that is resilient to a changing future.

Faculty Supervisor:

Lora Oehlberg

Student:

Partner:

Singapore Management University

Discipline:

Computer science

Sector:

Information and Communications Technology; Technology; New and Digital Media

University:

University of Calgary

Program: