This paper focuses on a specific aspect of human visual discrimination from computationally generated solutions for CAAD ends. The bottleneck at work here concern informational ratios of discriminative rates over generative ones. The amount of information that can be brought to a particular sensory modality for human perception is subject to bandwidth and dimensional limitations. This problem is well known in Brain-Computer Interfaces, where the flow of relevant information must be maintained through such interaction for applicative ends and adoption of use in many fields of human activity. While architectural modeling conveys a high level of complexity in its processes, let alone in the presentation of its generated design solutions, promises in applicative potentials of such interfaces must be made aware of these fundamental issues and need developments of appropriate sophistication. This paper addresses this informational bottleneck by introducing a method to retrieve spatial information from the rapid serial visual presentation of generated pictures. This method will be explained and defined as inverse modeling, based on inverse graphics, and its relation to human visual processing.

翻译：本文聚焦于计算生成解决方案中人类视觉判别的特定方面，旨在服务于计算机辅助建筑设计。其核心瓶颈在于判别速率与生成速率之间的信息比率。人类感知中特定感觉通道所能承载的信息量受带宽和维度限制。这一问题在人机接口领域广为人知，在该领域，为满足应用需求并推动其在人类活动诸多领域中的采纳，必须通过此类交互维持相关信息流。尽管建筑建模过程本身具有高度复杂性，更不用说其生成设计方案的呈现，此类接口的应用潜力必须认识到这些根本性问题，并需要发展适当的复杂应对机制。本文通过引入一种方法从生成图像的快速序列视觉呈现中检索空间信息，以应对这一信息瓶颈。该方法将基于逆向图形学解释并定义为逆向建模，同时探讨其与人类视觉处理的关系。