Model-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars
The partial restriction of a driver’s visual field by the physical structure of the car (e.g., the A-pillar) can lead to unsafe situations where steering performance is degraded. Drivers require both environmental information and visual feedback regarding operation consequences. When driving with a...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:13c31c0a958e41f98d5b1cb39bf7459f2021-11-04T09:32:18ZModel-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars1662-516110.3389/fnhum.2021.697295https://doaj.org/article/13c31c0a958e41f98d5b1cb39bf7459f2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fnhum.2021.697295/fullhttps://doaj.org/toc/1662-5161The partial restriction of a driver’s visual field by the physical structure of the car (e.g., the A-pillar) can lead to unsafe situations where steering performance is degraded. Drivers require both environmental information and visual feedback regarding operation consequences. When driving with a partially restricted visual field, and thus restricted visual feedback, drivers may predict operation consequences using a previously acquired internal model of a car. To investigate this hypothesis, we conducted a tracking and driving task in which visual information was restricted to varying degrees. In the tracking task, participants tracked a moving target on a computer screen with visible and invisible cursors. In the driving task, they drove a real car with or without the ability to see the distant parts of a visual field. Consequently, we found that the decrease in tracking performance induced by visual feedback restriction predicted the decrease in steering smoothness induced by visual field restriction, suggesting that model-based prediction was used in both tasks. These findings indicate that laboratory-based task performance can be used to identify drivers with low model-based prediction ability whose driving behavior is less optimal in restricted vision scenarios, even before they obtain a driver’s license. However, further studies are required to examine the underlying neural mechanisms and to establish the generalizability of these findings to more realistic settings.Sayako UedaToshihisa SatoTakatsune KumadaTakatsune KumadaFrontiers Media S.A.articlemodel-based predictionvisual field restrictionvisual feedback restrictiondrivingvisuomotor tracking taskNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENFrontiers in Human Neuroscience, Vol 15 (2021) |
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model-based prediction visual field restriction visual feedback restriction driving visuomotor tracking task Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
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model-based prediction visual field restriction visual feedback restriction driving visuomotor tracking task Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Sayako Ueda Toshihisa Sato Takatsune Kumada Takatsune Kumada Model-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars |
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The partial restriction of a driver’s visual field by the physical structure of the car (e.g., the A-pillar) can lead to unsafe situations where steering performance is degraded. Drivers require both environmental information and visual feedback regarding operation consequences. When driving with a partially restricted visual field, and thus restricted visual feedback, drivers may predict operation consequences using a previously acquired internal model of a car. To investigate this hypothesis, we conducted a tracking and driving task in which visual information was restricted to varying degrees. In the tracking task, participants tracked a moving target on a computer screen with visible and invisible cursors. In the driving task, they drove a real car with or without the ability to see the distant parts of a visual field. Consequently, we found that the decrease in tracking performance induced by visual feedback restriction predicted the decrease in steering smoothness induced by visual field restriction, suggesting that model-based prediction was used in both tasks. These findings indicate that laboratory-based task performance can be used to identify drivers with low model-based prediction ability whose driving behavior is less optimal in restricted vision scenarios, even before they obtain a driver’s license. However, further studies are required to examine the underlying neural mechanisms and to establish the generalizability of these findings to more realistic settings. |
format |
article |
author |
Sayako Ueda Toshihisa Sato Takatsune Kumada Takatsune Kumada |
author_facet |
Sayako Ueda Toshihisa Sato Takatsune Kumada Takatsune Kumada |
author_sort |
Sayako Ueda |
title |
Model-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars |
title_short |
Model-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars |
title_full |
Model-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars |
title_fullStr |
Model-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars |
title_full_unstemmed |
Model-Based Prediction of Operation Consequences When Driving a Car to Compensate for a Partially Restricted Visual Field by A-Pillars |
title_sort |
model-based prediction of operation consequences when driving a car to compensate for a partially restricted visual field by a-pillars |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/13c31c0a958e41f98d5b1cb39bf7459f |
work_keys_str_mv |
AT sayakoueda modelbasedpredictionofoperationconsequenceswhendrivingacartocompensateforapartiallyrestrictedvisualfieldbyapillars AT toshihisasato modelbasedpredictionofoperationconsequenceswhendrivingacartocompensateforapartiallyrestrictedvisualfieldbyapillars AT takatsunekumada modelbasedpredictionofoperationconsequenceswhendrivingacartocompensateforapartiallyrestrictedvisualfieldbyapillars AT takatsunekumada modelbasedpredictionofoperationconsequenceswhendrivingacartocompensateforapartiallyrestrictedvisualfieldbyapillars |
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1718444944944791552 |