Influences on Drivers' Understandings of Systems by Presenting Image Recognition Results
Bo Yang, Koichiro Inoue, Satoshi Kitazaki, and Kimihiko Nakano

TL;DR
This study introduces a human machine interface that displays real-time image recognition results to drivers, aiming to improve their understanding of level 2 automated driving systems and enhance safety.
Contribution
The paper presents a novel HMI design that effectively communicates system capabilities and risks to drivers through real-time visual information.
Findings
HMI improved drivers' understanding of system capabilities
HMI helped drivers recognize potential risks more effectively
Participants reported increased situational awareness
Abstract
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.
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Taxonomy
TopicsHuman-Automation Interaction and Safety · Autonomous Vehicle Technology and Safety · Traffic and Road Safety
