RE-ENGAGE - Driver re-engagement in autonomous driving by means of interfaces adapted to human activity
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB - RISE Mobilitet och System, Göteborg |
| Funding from Vinnova | SEK 5 212 667 |
| Project duration | October 2020 - April 2023 |
| Status | Completed |
| Venture | Electronics, software and communication - FFI |
| Call | Electronics, Software and Communication - FFI - June 2020 |
| End-of-project report | Re-engage vinnova report_SUBMIT.pdf (pdf, 11767 kB) |
Important results from the project
The project fulfilled its purpose and aim by designing and evaluating solutions to re-engage drivers in non-driving activities in autonomous cars. Through the development of machine learning algorithms, reliable activity detection and classification were achieved. The design and evaluation of tailored interaction sequences explored how the research fields of machine learning and UX-design can be successfully merged in the vehicle domain.
Expected long term effects
The results from the simulator studies show that there are both behavioral and experiential benefits in adapting the interaction with the driver based on the driver´s activities. In summary, adapting interaction sequences to the driver´s activity is both a complex design task and a technical challenge. RE-ENGAGE-projektet has successfully developed concepts, methods and tools that can facilitate future development in this area. Individanpassade AI-modeller for HMI is judged to have great potential in future development.
Approach and implementation
The implementation included parallel development and evaluation of ML algorithms and UX design. The HMI prototypes were developed using Soma design and iterative UX design methodology. Simulator studies were conducted to evaluate the effects of these adaptive interaction sequences. The results were analyzed to evaluate the participants´ driving behavior and experience of activity-adapted HMI.