This presentation disseminates the results of the EU-funded THEIA-XR R&D project, which explored and applied a set of extended reality (XR) technologies based on systematical use case analysis of work procedures in snow groomer, reach stacker and excavator operation. We prototypically iterated XR solutions that involve available digital data, novel sensors, projection, ambient light feedback, video augmentation and external displays to explore where XR technologies can help operators to be faster and more accurate, and increase the use of digital data and assistive functions. This presentation summarizes our first results and insights on effectively improving machine operation through XR technologies.

• Apply XR technologies in futureproof HMI
• Improve perception of digital information through XR interaction
• Effective design of XR information presentation
• Consideration of operators’ work routines and attention patterns in XR HMI