Feedback mechanisms in Extended Reality Applications

The objective of this research project is to combine different forms of user feedback mechanisms (haptic, olfactory, force, auditory) to better recreate simulated environments and increase the impact of extended reality (XR) training platforms for both users and collaborative robots. As such the research question that is being investigated during the research project is: How do feedback mechanisms impact knowledge transfer of XR applications? The intern will be responsible for supporting the current research in extended reality. Specifically, the intern will assist in creating physical models and prototypes for XR experiences. They will extend the current VR platform used in the training of machinery operators to include new forms of feedback and determine their effectiveness. From this research we expect to gain new knowledge on how feedback mechanisms help with knowledge retention and user performance of VR training platforms.

Faculty Supervisor:

Tsz Ho Kwok

Student:

Partner:

Politecnico di Milano

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program:

Globalink Research Award

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