Voice AI Collaboration in Electric Trucking
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB |
| Funding from Vinnova | SEK 100 000 |
| Project duration | April 2025 - August 2025 |
| Status | Completed |
| Venture | 6G - Competence supply |
| Call | 6G - Supervision of degree work |
Important results from the project
The project has successfully fulfilled its objective by developing and evaluating a user interface that demonstrates how 6G technology can support learning for drivers of electric trucks. Beyond delivering according to plan, the work has also established a solid foundation for continued research and development on how 6G and AI-based interaction can be applied to advance effective learning within the automotive industry as well as in other sectors.
Expected long term effects
The project has demonstrated the potential of 6G to enable new learning solutions. The results provide inspiration and arguments for continued research and development in the automotive sector as well as in other industries. In the longer term, the project may contribute to improved human–technology interaction by helping people better understand technical systems, perform tasks safely and efficiently, and enhance their ability to collaborate with technological solutions.
Approach and implementation
The project was carried out as a master’s thesis at RISE and KTH. The work was completed according to plan. It included a needs analysis, the development of prototypes for different types of voice interaction, and a user study with professional drivers in simulated driving situations. RISE and Scania contributed with input and feedback on the prototypes and the evaluation method. The collected data was processed and analyzed to draw conclusions and generate design recommendations.