Regular schematic start training in the process of drivers’ selective attention

doi:10.3724/SP.J.1041.2021.01310

Abstract

Abstract:

In this study, the inattentional blindness paradigm was combined with the task of traffic violation event recognition, and two experiments were conducted to investigate the effects of task specific features (with and without prompt) and rule schemata training (with and without training) on driver recognition of traffic signals and violations. The results show that traffic rule prompt can improve the correct rate of traffic signal recognition for experienced drivers (Experiment 1), but for novice drivers, rule schemata training is needed to achieve the same effect (Experiment 2). The results show that rule schemata priming effect exists in driver’s selective attention, and schemata training can make up for novice driver’s lack of experience.

Key words: task specific feature, driving experience, driving schemata, traffic information, inattentional blindness

YUAN Luyi, CHANG Ruosong, MA Jinfei. (2021). Regular schematic start training in the process of drivers’ selective attention. Acta Psychologica Sinica, 53(12), 1310-1320.

Figures/Tables 13

Figure 1. Driving video clip.

Figure 2. “No turning” area of interest.

Figure 3. Cluster graph of prompted group.

Figure 4. Cluster graph of no prompted group.
Note. Cluster graph is a kind of visualization graph which can present the region with the highest fixation data density on the background graph.

Figure 5. Total visit duration for the “No U-turn” sign.

Figure 6. Rate of inattentional blindness in a key trial.
Note. * * * p < 0.001, * * p < 0.01

Table 1 In Experiment 1, the total visit duration (seconds) and the number of IB (people)

Type of driving experience	Total visit duration (s) (M ± SE)	Number of IB
Experienced driver
Prompt (n = 17)	0.32 ± 0.10	4
No prompt (n = 18)	0.23 ± 0.10	16
Novice driver
Prompt (n = 21)	0.19 ± 0.06	14
No prompt (n = 20)	0.07 ± 0.04	17

Table 2 Logistic regression analysis of individual difference and eye movement total visit duration on the result of blindness

Variable	B	SE	Wald	df	p	Exp (B)	95% CI of Exb (B)
Sex	-1.43	0.94	2.30	1	0.13	0.24	[0.04, 01.51]
Age	-0.01	0.07	0.03	1	0.86	0.99	[0.87, 01.13]
Safety score	-0.03	0.04	0.47	1	0.49	0.97	[0.89, 01.06]
Level of education	0.45	0.46	0.95	1	0.33	1.57	[0.63, 03.91]
total visit duration	1.92*	0.82	4.77	1	0.02	6.82	[1.37, 34.06]
Constant quantity	-1.61	2.22	0.05	1	0.47	0.20

Figure 7. No parking area of interest.

Figure 8. Solid lines areas of interest.

Table 3 Identify event score and total visit duration (seconds)

Type of driving experience	Solid line score	No parking score	TVD of solid line (s) (M ± SE)	TVD of No parking (s) (M ± SE)
Experienced driver
Training (n = 17)	8.47 ± 0.45	7.65 ± 0.44	13.00 ± 0.88	16.15 ± 0.80
Untrained (n = 16)	7.44 ± 0.61	3.13 ± 0.70	9.280 ± 1.35	09.27 ± 1.31
Novice driver
Training (n = 17)	7.64 ± 0.47	5.00 ± 0.54	12.55 ± 1.82	07.26 ± 1.19
Untrained (n = 16)	5.25 ± 0.70	1.06 ± 0.44	12.39 ± 1.40	05.71 ± 0.77

Figure 9. Correct scores for driver identification of different events.
Note. ***p < 0.001, **p < 0.01

Figure 10. Model of mediating effects.
Note. ***p < 0.001, **p < 0.01

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