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

Project: EU project

Project Details

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.
AcronymTHEIA-XR
StatusActive
Effective start/end date1/01/2331/12/25

Collaborative partners

  • VTT Technical Research Centre of Finland
  • Prinoth S.p.A.
  • Graz University of Technology
  • University of Luxembourg
  • Cargotec Finland Oy
  • TTTech Computertechnik AG
  • Stuttgart Media University
  • Haption SA
  • TTControl GmbH (lead)
  • Creanex Oy
  • Technische Universität Dresden (TUD)

Funding category

  • Horizon Europe

Keywords

  • HORIZON-CL4-2022-HUMAN-01-14

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.