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Influences on Drivers' Understandings of Systems by Presenting Image Recognition Results (2106.13388v1)

Published 25 Jun 2021 in cs.HC

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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Authors (4)
  1. Bo Yang (427 papers)
  2. Koichiro Inoue (1 paper)
  3. Satoshi Kitazaki (1 paper)
  4. Kimihiko Nakano (8 papers)
Citations (2)

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