Influences on Drivers' Understandings of Systems by Presenting Image Recognition Results
This addresses safety concerns for drivers using automated systems, but it is incremental as it builds on existing HMI research.
The study tackled the problem of drivers' understanding of level 2 automated driving systems by proposing a human-machine interface (HMI) that displays real-time image recognition results, and found that it effectively informed drivers of risks and improved their understanding in simulator experiments with 18 participants.
It is essential to help drivers have appropriate understandings of level 2 automated driving systems for keeping driving safety. A human machine interface (HMI) was proposed to present real time results of image recognition by the automated driving systems to drivers. It was expected that drivers could better understand the capabilities of the systems by observing the proposed HMI. Driving simulator experiments with 18 participants were preformed to evaluate the effectiveness of the proposed system. Experimental results indicated that the proposed HMI could effectively inform drivers of potential risks continuously and help drivers better understand the level 2 automated driving systems.