Making The Invisible Visible for Off-Highway Machinery by Conveying Extended Reality Technologies

Acronym

THEIA-XR

Description of the granted funding

THEIA-XR (Making the invisible visible for off-highway machinery by conveying extended reality technologies) aims at improving human-machine interaction in mobile machinery by enhancing user technology fit and extending reality technologies and functionalities. The results will make the invisible visible respectively the non-perceivable perceivable to the human operator, extending the perceivable range of the operator without negatively influencing the performance of the human while controlling the machinery. The project will ensure positive impact of eXtended Reality technologies on the safety, security trustworthiness and societal aspects of the interaction between the machine, the human operator and public/non-users, and furthermore create an XR workplace that enables positive user experiences of self-efficacy and meaningfulness of work. THEIA-XR will leverage a human-centred transdisciplinary and scenario-based co-design methodology with users, stakeholders and multidisciplinary researchers as a fully integrated project team. This methodology serves to collect human requirements and to design, develop and deploy the extended reality technologies for information presentation and interaction in the off-highway domain. The targeted extended reality technologies will enhance conventional human-machine interfaces through multi-modal information and interaction technologies, deploying innovative data visualization methods, force feedback technology and acoustic information. The THEIA-XR approach for improving the human operator tasks by deploying extended reality technologies will be initially validated and tested in three uses cases in the off-highway domain, targeting snow grooming, logistics and construction scenarios, integrating real end-users, public/non-users and real-life data from dedicated industrial environments.
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Starting year

2023

End year

2025

Granted funding

CARGOTEC FINLAND OY
546 750 €
Participant
CREANEX OY
417 937.5 €
Participant
PRINOTH SPA (IT)
643 000 €
Participant
TTCONTROL GMBH (AT)
832 981.25 €
Coordinator
HAPTION SA (FR)
424 362 €
Participant
HOCHSCHULE DER MEDIEN (DE)
620 375 €
Participant
TTTECH COMPUTERTECHNIK AG (AT)
299 406.25 €
Third party
UNIVERSITE DU LUXEMBOURG (LU)
282 370 €
Participant
TECHNISCHE UNIVERSITAET DRESDEN (DE)
649 000 €
Participant
TECHNISCHE UNIVERSITAET GRAZ (AT)
867 500 €
Participant

Amount granted

6 192 686 €

Funder

European Union

Funding instrument

HORIZON Research and Innovation Actions

Framework programme

Horizon Europe (HORIZON)

Call

Programme part
Digital, Industry and Space (11704)
Next Generation Internet (11710)
Topic
eXtended Reality Technologies (RIA) (HORIZON-CL4-2022-HUMAN-01-14)
Call ID
HORIZON-CL4-2022-HUMAN-01

Other information

Funding decision number

101092861

Identified topics

autonomous systems, automated driving