| KEYWORD |
GR-09 - GRAphics and INtelligent Systems - GRAINS
Multi-input techniques to improve interaction accuracy in cockpit simulation of advanced mobility vehicles
Thesis in external company
keywords AUGMENTED REALITY, FLIGHT SIMULATORS, HUMAN-MACHINE INTERACTION, VIRTUAL REALITY
Reference persons FABRIZIO LAMBERTI, FILIPPO GABRIELE PRATTICO'
Research Groups GR-09 - GRAphics and INtelligent Systems - GRAINS
Description Despite the advancements in Virtual Reality (VR) technology, cost-effective hardware and tracking system are still suffering from accuracy limitations that in some cases can limit the natural interaction of the user with the virtual environment, ruining the user experience. That is the case, for instance, of operating on keyboards and button in an aircraft cockpit (precisely rotating small and tightly spaced knobs, pushing buttons, etc.) which are particularly challenging, especially when the user is also subject to external movements or acceleration (like in a flying helicopter or VTOL).
The objective of this thesis is to develop a human-machine interaction approach for this specific use case capable of overcoming the hardware limitation by combining multiple user inputs together (eye-tracking, finger tracking, speed of movements, etc.).
This thesis is aimed for students that are interested in conducting research on frontier aspects of the human-computer interaction in VR and apply it to a real-world use case.
During the thesis, the student will be able to use VR HMD with hand tracking and eye tracking technology and a motion simulation platform available at the Department of Control and Computer Engineering (DAUIN). The student will also learn how to carry out user centred experimental design and validation.
The project is developed in the context of the Centro Nazionale per la Mobilità Sostenibile (CNMS-MOST) funded by the National Recovery and Resilience Plan (PNRR) which involves multiple Universities and Companies.
See also http://grains.polito.it/work.php
Deadline 15/01/2025
PROPONI LA TUA CANDIDATURA