HCJul 30, 2019

Decoding a Complex Visualization in a Science Museum -- An Empirical Study

arXiv:1907.13193v225 citations
Originality Synthesis-oriented
AI Analysis

This addresses visualization design challenges for informal science learning, though it is incremental as it applies existing methods to a new context.

The study analyzed how museum visitors decode a complex visualization of a large dataset, finding it took an average of 43 seconds to see patterns and 54 seconds for first correct interpretation, with decoding occurring throughout use.

This study describes a detailed analysis of museum visitors' decoding process as they used a visualization designed to support exploration of a large, complex dataset. Quantitative and qualitative analyses revealed that it took, on average, 43 seconds for visitors to decode enough of the visualization to see patterns and relationships in the underlying data represented, and 54 seconds to arrive at their first correct data interpretation. Furthermore, visitors decoded throughout and not only upon initial use of the visualization. The study analyzed think-aloud data to identify issues visitors had mapping the visual representations to their intended referents, examine why they occurred, and consider if and how these decoding issues were resolved. The paper also describes how multiple visual encodings both helped and hindered decoding and concludes with implications on the design and adaptation of visualizations for informal science learning venues.

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