Semi-Autonomus driving and its effect on Mode awareness and User experience
| Reference number | |
| Coordinator | Chalmers Tekniska Högskola AB - Institutionen för produkt- och produktionsutveckling |
| Funding from Vinnova | SEK 5 384 000 |
| Project duration | October 2017 - June 2022 |
| Status | Completed |
| Venture | Electronics, software and communication - FFI |
| Call | 2016-05458-en |
| End-of-project report | 2017-01946sv.pdf(pdf, 1095 kB) (In Swedish) |
Important results from the project
This project has explored human-automation interaction for driving with driver assistance systems that support the driver in the driving task by regulating the vehicle in lateral and longitudinal direction. The purpose of the project is to contribute to the understanding of factors that influence drivers´ mod-awareness and understanding of advanced driver support systems. The project has resulted in new knowledge about the causes of fashion confusion and developed methodology to support designers and constructors in the development of such systems.
Expected long term effects
The project has delivered a conceptual model that describes the process of how perception affects understanding during the interaction between drivers and advanced driving support systems. The project has also developed a new methodology/toolbox to support designers and function developers during the development of driving support systems. The results have generated 13 publications and a licentiat thesis. New knowledge of causes of mode confusion will be integrated into system development and associated HMI. New methodology has already been implemented at Volvo Cars.
Approach and implementation
During the project, an extensive literature study and three large empirical studies have been carried out. Two of these have used Wizard of Oz technology to simulate different driving modes. Tests have been carried out both in Sweden and the USA. The majority of the work has been carried out by PhD students. Different teams at Volvo have supported in different phases of the project depending on the need. Academic supervision of doctoral students has been provided by Chalmers. Data collection during studies has primarily taken place through observations, surveys and interviews.