Summary
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.
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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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101092861 |
| Start date: | 01-01-2023 |
| End date: | 31-12-2025 |
| Total budget - Public funding: | 6 192 686,50 Euro - 6 192 686,00 Euro |
Cordis data
Original description
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.
Status
SIGNEDCall topic
HORIZON-CL4-2022-HUMAN-01-14Update Date
09-02-2023
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Organisations
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| TTCONTROL GMBH (TTC) (Coördinator)
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| CARGOTEC FINLAND OY
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| CREANEX OY (Creanex Oy)
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| HAPTION SA
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| HOCHSCHULE DER MEDIEN
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| PRINOTH SPA
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| TECHNISCHE UNIVERSITAET DRESDEN
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| TECHNISCHE UNIVERSITAET GRAZ (TU GRAZ)
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| TEKNOLOGIAN TUTKIMUSKESKUS VTT OY
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| TTTECH COMPUTERTECHNIK AG
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| UNIVERSITE DU LUXEMBOURG