reassembly
frame
perceptual fragmentation and re-composition
online web app
Reduced Perceptual Cues Research
Keio University, KMD-EM
December 2025
Reassembly Frame is a research project that explores how experiences can be reconstructed through partial, fragmented information. Rather than aiming for faithful representation, the project focuses on how reduced perceptual cues—such as light, layering, alignment, and temporal variation—can evoke a sense of coherence, presence, or place.
The work operates by breaking source material into discrete components and reorganising them through compositional rules. These components may originate from images, environments, or recorded conditions, but are intentionally abstracted to remove explicit detail. Meaning emerges through relationships between elements rather than through recognisable forms.
Reassembly Frame investigates how perception shifts when information is incomplete, examining how viewers actively assemble their own interpretation from limited cues. This approach aligns with a broader research interest in low-definition environments, where suggestion replaces representation and cognitive load is reduced through careful selection of perceptual signals.
The project functions as an open framework that can be applied across different media and scales, serving both as a conceptual model and as a practical method for designing mediated experiences based on perceptual reduction and recomposition.
Access the functional
Reassembly Frame online
tool here
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The work operates by breaking source material into discrete components and reorganising them through compositional rules. These components may originate from images, environments, or recorded conditions, but are intentionally abstracted to remove explicit detail. Meaning emerges through relationships between elements rather than through recognisable forms.
Reassembly Frame investigates how perception shifts when information is incomplete, examining how viewers actively assemble their own interpretation from limited cues. This approach aligns with a broader research interest in low-definition environments, where suggestion replaces representation and cognitive load is reduced through careful selection of perceptual signals.
The project functions as an open framework that can be applied across different media and scales, serving both as a conceptual model and as a practical method for designing mediated experiences based on perceptual reduction and recomposition.
Access the functional
Reassembly Frame online
tool here
