2017
DOI: 10.1016/j.trf.2017.05.003
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Perceptual training to increase drivers’ ability to spot motorcycles at T-junctions

Abstract: Motorcyclists too often collide with other road users who pull out of side roads in front of them. These other road users typically report making all the necessary visual checks, despite failing to see the approaching motorcycle. These Look But Fail To See errors appear to be attenuated in road users who themselves have motorcycling experience, suggesting that motorcycle exposure may lower thresholds for spotting these vulnerable road users through natural perceptual learning. This raises the possibility that … Show more

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Cited by 14 publications
(10 citation statements)
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“…In particular, drivers performed poorly in recognising approaching motorcycles at far distances, compared to cars. This replicates several previous findings (Crundall et al, 2008b;Gershon et al, 2012;Cavallo & Pinto, 2012;Lee et al, 2015;Crundall et al, 2017). We report no effect of cognitive conspicuity training on drivers' accuracy scores in recognising the presence of an approaching motorcycle.…”
Section: Discussionsupporting
confidence: 92%
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“…In particular, drivers performed poorly in recognising approaching motorcycles at far distances, compared to cars. This replicates several previous findings (Crundall et al, 2008b;Gershon et al, 2012;Cavallo & Pinto, 2012;Lee et al, 2015;Crundall et al, 2017). We report no effect of cognitive conspicuity training on drivers' accuracy scores in recognising the presence of an approaching motorcycle.…”
Section: Discussionsupporting
confidence: 92%
“…Following exposure to either the training or control stimuli, all participants took part in the testing procedure. In order to simulate driver glancing behaviour, we follow several others (Crundall et al, 2008b;Gershon, Ben-Asher & Shiner, 2012;Cavallo & Pinto, 2012;Lee, Sheppard & Crundall, 2015;Crundall et al, 2017) in asking participants to perform a naturalistic spontaneous and economical search of a road scene in our experimental task, as opposed to performing an artificial extended search task. As such, a trial began with the presentation of a fixation cross to the left of the screen for a duration varying randomly between 500-1,250 ms. A road scene image was then presented centrally for 250 ms, such that the participant needed to move their eyes to the right to check the road scene for the presence of an approaching vehicle.…”
Section: Testing Proceduresmentioning
confidence: 99%
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“…Motorcyclists could therefore be a selfselected group of road users with greater road priority, leading to their unwillingness to yield ROW to oncoming vehicles. Such a phenomenon appears to be different in western countries where motorists do not expect to see motorcyclists: the detection failure was due to the fact that motorcycles are infrequently confronted in traffic [8,9]. According to the National Traffic Crash Dataset for the years 2003-2014, the ratio of the number of approach-turn motorcycle-turning crash to the number of approach-turn car-turning crash in Taiwan is 1:4.6, compared with 1:25 in the US [10] and 1:16 in the UK [11], respectively.…”
Section: Introductionmentioning
confidence: 99%