Reciprocal Parametric Design for Multimodal Visualization: A Case Study of The Rap Tapestry
Authors
Carmen Hull (Northeastern University), Gregory Gold (Northeastern University), Matthew Brehmer (University of Waterloo)
Presentation
- Session
- VISAP Paper 1
- Time
- Wednesday, Nov 11, 08:36 – 08:48 (US/Eastern) · session 08:00 – 09:30
- Location
- Hall Essex south
Keywords
Design methodology, parametric design, physicalization, embodied cognition, music visualization, hip-hop
Abstract
Established visualization design methodologies structure the design process as a progression through domain characterization, data abstraction, visual encoding, and evaluation. We propose ``Reciprocal Parametric Design'' as a methodology that introduces an explicit iterative exchange between representational modalities into visualization design, where the act of making across modalities is itself analytical. We demonstrate this approach through with Rap Tapestry, a dual-modality visualization project comprising a physical tapestry and a parametric software application, both generated from a shared rule-based logic applied to hip-hop music. The physical tapestry operates at a coarser grain, expressing the embodied experience of a singular song, while the parametric application operates at a finer resolution, enabling analytical comparison of rhyme density, beat structure, and compositional complexity across multiple songs. Through domain expert critique involving hip-hop MCs, a musical cognitive neuroscientist, and a data journalist, we show that this methodology surfaces tacit knowledge that conventional approaches cannot externalize: what rappers call ``the pocket`` becomes visible as spatial pattern, what the neuroscientist studies as ``groove'' is refined and specified to rap, and large-scale compositional structures emerge through cross-song comparison. We name this methodology, propose evaluative criteria for visualization work that integrates material and computational making as co-equal analytical modes, and ground both in domain expert evidence, taking a first step toward defining an approach that is often practiced across visualization and design but not yet formalized.