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Baseline Exposure to Common Data Visualization Types Among the U.S. Adult Population — arXiv:2609.38185

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.38185
License (as archived): CC0-1.0
Archived: 2026-10-07T13:44:19.692Z
SHA-256 of the archived text: 50237d8b5f11eafa0424dac9830bfd214ef084e1a42ffe7c5d4c525dcbf5d44d
Stable URL of this page: https://metraipolis.com/documento/dc_dfbd6f28fdbd

How to cite

Baseline Exposure to Common Data Visualization Types Among the U.S. Adult Population — arXiv:2609.38185 — arXiv (en), https://arxiv.org/abs/2609.38185 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_dfbd6f28fdbd (Metraipolis archive dc_dfbd6f28fdbd, sha256 50237d8b5f11eafa0424dac9830bfd214ef084e1a42ffe7c5d4c525dcbf5d44d)

BibTeX

@misc{dcdfbd6f28fdbd,
  title = {Baseline Exposure to Common Data Visualization Types Among the U.S. Adult Population — arXiv:2609.38185},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.38185},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_dfbd6f28fdbd; sha256 50237d8b5f11eafa0424dac9830bfd214ef084e1a42ffe7c5d4c525dcbf5d44d},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.38185. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Data visualizations are a primary means of communicating statistical information to the public. Their expanding use across news media, public health, education, and government reporting places greater importance on audiences' ability to recognize and interpret them. While a significant body of prior research has established frameworks for the measurement of graph and visualization literacy, far less is known about everyday exposure to different kinds of charts and graphs among the general adult population. This gap limits our ability to meaningfully interpret differences in graph literacy, focus efforts on improving that literacy, and design visualizations that align with audience ability. Establishing population level estimates of exposure to data visualizations is therefore essential for improving visual communication and reducing misinterpretation of quantitative information. To address this gap, we surveyed a nationally representative sample of 1,168 U.S. adults via NORC's AmeriSpeak panel about their exposure to sixteen different common data visualization types. The resulting survey responses demonstrate pronounced differences in baseline exposure to data visualizations across chart types and demographic groups. While widely used formats such as bar, pie, line, and grouped bar charts are highly recognizable to the vast majority of U.S. adults, many other practitioner-favored chart types remain unfamiliar to substantial portions of the adult population. Exposure also differs significantly by age and education, with higher educational attainment linked to greater exposure and older adults reporting lower exposure overall. Our findings provide essential population level context on visualization literacy and underscore the importance of aligning data visualization design with audience exposure and experience.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-10-01 in cs.HC).
Categorie arXiv: Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2609.38185 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-07T13:17:28.216Z dalla pagina https://arxiv.org/catchup/cs.HC/2026-10-01?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).