论文标题
在日常驾驶中建立以人为中心的视觉空间复杂性的认知模型
Towards a Human-Centred Cognitive Model of Visuospatial Complexity in Everyday Driving
论文作者
论文摘要
我们在日常自然主义的驾驶条件下开发了以人为中心的视觉空间复杂性的认知模型。以视觉感知为重点，该模型将可识别的定量，结构和动态属性纳入了所选环境中。该模型的以人为本的基础在于其对人类受试者的行为评估，这些措施涉及与体现的视觉审计有关的关注。我们报告了初步步骤，以将开发的视觉空间复杂性认知模型用于人体因素指导数据集创建和基准测试，并将其用作视觉空间复杂性（可解释的）计算分析的语义模板。
We develop a human-centred, cognitive model of visuospatial complexity in everyday, naturalistic driving conditions. With a focus on visual perception, the model incorporates quantitative, structural, and dynamic attributes identifiable in the chosen context; the human-centred basis of the model lies in its behavioural evaluation with human subjects with respect to psychophysical measures pertaining to embodied visuoauditory attention. We report preliminary steps to apply the developed cognitive model of visuospatial complexity for human-factors guided dataset creation and benchmarking, and for its use as a semantic template for the (explainable) computational analysis of visuospatial complexity.
