376: Space, Time, and Affordance: Experimenting With Computational Methods To Visualize Human-Building Interaction

Despite growing interest in human-building interaction (HBI) studies to improve performance and comfort in building operations, existing architectural design and representation methods primarily focus on static layouts and material forms, overlooking the spatio-temporal, invisible characteristics of interactions. This paper proposes a novel visualization method grounded on affordance theory, dynamic network graphs to computationally model HBI in Grasshopper. Using a multipurpose educational space as a case study, the study illustrates a multilayered workflow that visualizes material components, immaterial affordances, and dynamic multimodal interactions in three programmatic scenarios. Resulting representations and animations spatialize the footprint, distribution, and modalities of afforded interactions in relationship with occupant patterns. This scenario-based, computationally-driven HBI model supports the qualitative assessment and strategic allocation of sensing, actuation, and control interfaces, identifying spatial opportunities and challenges. This study offers an architecturally informed HBI visualization framework to enhance interdisciplinary communication and critical early-stage decisions in designing responsive environments.