| KEYWORD |
Advanced HMIs for reducing passenger anxiety in autonomous VTOL flights under stressful conditions
Tesi esterna in azienda
Parole chiave INTERFACCE UOMO-MACCHINA, REALTĄ AUMENTATA, REALTĄ VIRTUALE, SIMULATORI DI VOLO
Riferimenti FABRIZIO LAMBERTI, FILIPPO GABRIELE PRATTICO'
Gruppi di ricerca GR-09 - GRAphics and INtelligent Systems - GRAINS
Descrizione As autonomous Vertical Take-Off and Landing (VTOL) technology advances, ensuring passenger comfort and confidence becomes paramount. Previous research has focused on developing Human-Machine Interfaces (HMIs) to improve passenger experience during standard flight phases (takeoff, cruise, landing) and in common visibility conditions. However, passengers are likely to experience anxiety in more critical situations, like presence of heavy air traffic, turbulent weather (wind gusts, snow, thunderstorms), and varying visibility (sunny, cloudy, foggy, snowy, stormy).
The objective of this thesis is to design and develop such HMIs by integrating them into an immersive VR-based autonomous VTOL simulator for urban mobility. In particular, the student will focus on the visualization of the air traffic, and on the integration of air traffic data using a proprietary API.
During the thesis, the student will be able to use the most advanced VR HMD with human-eye resolution (Varjo-XR 3) 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 Mobilitą Sostenibile (CNMS-MOST) funded by the National Recovery and Resilience Plan (PNRR) which involves multiple Universities and Companies.
Vedi anche http://grains.polito.it/work.php
Scadenza validita proposta 15/01/2025
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