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significantly teer » significantly better (Expand Search), significantly weaker (Expand Search), significantly lower (Expand Search)
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Showing 121 - 140 results of 5,462 for search '(( significantly ((shorter decrease) OR (greater decrease)) ) OR ( significantly teer decrease ))', query time: 0.53s Refine Results
  1. 121
    Conditional autonomous driving scenario complexity hierarchy.

    Conditional autonomous driving scenario complexity hierarchy. by Chengmin Zhou (14554562)

    Published 2025
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  2. 122
    Mean (SD) of fixation duration, fixation counts, and SAGAT accuracy according to scene complexity and autonomous driving information display type.

    Mean (SD) of fixation duration, fixation counts, and SAGAT accuracy according to scene complexity and autonomous driving information display type. by Chengmin Zhou (14554562)

    Published 2025
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  3. 123
    Point in time of the first visible deviation from the trail in each scenario.

    Point in time of the first visible deviation from the trail in each scenario. by Chengmin Zhou (14554562)

    Published 2025
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  4. 124
    Displays types of autonomous driving information: a) P3D display on the W-HUD; b) SR display on the W-HUD; c) display on the AR-HUD.

    Displays types of autonomous driving information: a) P3D display on the W-HUD; b) SR display on the W-HUD; c) display on the AR-HUD. by Chengmin Zhou (14554562)

    Published 2025
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  5. 125
    Experiment setting.

    Experiment setting. by Chengmin Zhou (14554562)

    Published 2025
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  6. 126
    Supplementary raw data file of eye-tracking experiment for subjects.

    Supplementary raw data file of eye-tracking experiment for subjects. by Chengmin Zhou (14554562)

    Published 2025
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  7. 127
    The mean and standard error of SAGAT accuracy for type A, type B, and type C autonomous driving information display types under various scenario complexities.

    The mean and standard error of SAGAT accuracy for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

    Published 2025
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  8. 128
    A path analysis model of the relationship between various scenario elements and traffic scenarios.

    A path analysis model of the relationship between various scenario elements and traffic scenarios. by Chengmin Zhou (14554562)

    Published 2025
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  9. 129
    Experimental flow.

    Experimental flow. by Chengmin Zhou (14554562)

    Published 2025
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  10. 130
    Schematic flow chart of driving take-over reaction experiment.

    Schematic flow chart of driving take-over reaction experiment. by Chengmin Zhou (14554562)

    Published 2025
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  11. 131
    Three accident scenarios: a) forward vehicle collision; b) The sudden cut-in of lateral vehicles ahead; c) adjacent vehicle occupies the lane.

    Three accident scenarios: a) forward vehicle collision; b) The sudden cut-in of lateral vehicles ahead; c) adjacent vehicle occupies the lane. by Chengmin Zhou (14554562)

    Published 2025
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  12. 132
    Conditional autonomous driving scenario complexity factor perceptual weights.

    Conditional autonomous driving scenario complexity factor perceptual weights. by Chengmin Zhou (14554562)

    Published 2025
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  13. 133
    The mean and standard error of take-over reaction time for type A, type B, and type C autonomous driving information display types under various scenario complexities.

    The mean and standard error of take-over reaction time for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

    Published 2025
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  14. 134
    The mean and standard error of fixation duration for type A, type B, and type C autonomous driving information display types under various scenario complexities.

    The mean and standard error of fixation duration for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

    Published 2025
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  15. 135
    Mean (SDs) of take-over reaction times according to scene complexity and type of autonomous driving information display.

    Mean (SDs) of take-over reaction times according to scene complexity and type of autonomous driving information display. by Chengmin Zhou (14554562)

    Published 2025
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  16. 136
    The mean and standard error of fixation counts for type A, type B, and type C autonomous driving information display types under various scenario complexities.

    The mean and standard error of fixation counts for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

    Published 2025
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  17. 137
    SAGAT Assessment Sample Questions.

    SAGAT Assessment Sample Questions. by Chengmin Zhou (14554562)

    Published 2025
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  18. 138
    Three display types of autonomous driving information on the HUD in the Chinese vehicle market.

    Three display types of autonomous driving information on the HUD in the Chinese vehicle market. by Chengmin Zhou (14554562)

    Published 2025
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  19. 139
    3x3 Latin square design.

    3x3 Latin square design. by Chengmin Zhou (14554562)

    Published 2025
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  20. 140
    The significance of predictor variables from the randomised (100) Poisson GLM models for the proximal group.

    The significance of predictor variables from the randomised (100) Poisson GLM models for the proximal group. by Stella Gachoki (16024540)

    Published 2023
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