Wang, Y. orcid.org/0000-0002-8848-944X, Wu, Y., Chen, C. et al. (5 more authors)
(2022)
Inattentional Blindness in Augmented Reality Head-Up Display-Assisted Driving.
International Journal of Human-Computer Interaction, 38 (9).
pp. 837-850.
ISSN 1044-7318
Abstract
Augmented reality head-up display (AR HUD) is a new technology in assisted driving, which can add extra information to the driving environment in real-time to help the driver better perceive road situation. AR HUD can enhance driving safety but may also encourage inattentional blindness. Hence, this study aims to examine whether AR HUD-induces inattentional blindness and determine whether workload intensifies their relationship. In experiment 1, 60 participants were randomly assigned to three groups and watched three types of augmented reality (AR)-augmented driving videos, respectively. They were instructed to respond to any critical events, but only their responses to road-crossing pedestrians were recorded. Results show that AR HUD reduces inattentional blindness when pedestrians are augmented but encourages inattentional blindness when pedestrians are not augmented. In experiment 2, 20 participants viewed AR-augmented driving videos of high and low workloads. Pedestrians were not augmented in all videos. Result reveals that a high workload induces more inattentional blindness than low workload. The finding confirms that AR HUD induces inattentional blindness, and a high workload will intensify this relationship. The future design of the AR HUD assisted-driving system should consider the risk of inattentional blindness and come up with corresponding countermeasures.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Jan 2025 14:03 |
Last Modified: | 23 Jan 2025 14:03 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/10447318.2021.1970434 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:222218 |