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arxiv: 1907.09091 · v1 · pith:7WJ25SCBnew · submitted 2019-07-22 · 💻 cs.HC

Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements

Weiwei Cui , Xiaoyu Zhang , Yun Wang , He Huang , Bei Chen , Lei Fang , Haidong Zhang , Jian-Guan Lou
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Dongmei Zhang
This is my paper

Pith reviewed 2026-05-24 18:25 UTC · model grok-4.3

classification 💻 cs.HC
keywords infographicsnatural language inputautomatic generationproportion statisticsdata visualizationproof-of-concept systemdesign space studycasual users
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The pith

A proof-of-concept system automatically converts natural language statements about simple proportions into sets of pre-designed infographics.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper investigates an alternative to manual infographic tools by generating visuals directly from text. It begins with a preliminary study that maps the design space for proportion-related infographics. From that study the authors construct a system that accepts statements about simple proportion statistics and outputs multiple styled infographic variants. The goal is to let casual users produce engaging visuals without learning authoring software or possessing design skills. If the approach works, it removes a major barrier between raw proportion data and usable, memorable presentations.

Core claim

After mapping the design space through a preliminary study, the authors built a proof-of-concept system that automatically converts statements about simple proportion-related statistics to a set of infographics with pre-designed styles.

What carries the argument

The proof-of-concept system that maps proportion statements to pre-designed infographic styles on the basis of the preliminary design-space study.

If this is right

  • Casual users without design training can obtain multiple infographic options from a single proportion statement.
  • The system focuses exclusively on simple proportion-related statistics rather than arbitrary data.
  • Pre-designed styles replace the need for users to choose layouts or visual elements manually.
  • The output set of infographics is intended to be immediately usable for communication.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same pipeline might later handle statements that combine proportions with other quantitative relations if the design space is expanded.
  • Voice input could replace typed statements, allowing on-the-fly generation during conversations or presentations.
  • The pre-designed style library could be crowdsourced or learned from existing infographics rather than hand-crafted.

Load-bearing premise

The preliminary study sufficiently captures the design space so that pre-designed styles can produce acceptable infographics for the targeted class of statements.

What would settle it

A test in which participants consistently rate the system outputs as visually unappealing or factually misleading for the input statements would show the approach does not work.

Figures

Figures reproduced from arXiv: 1907.09091 by Bei Chen, Dongmei Zhang, Haidong Zhang, He Huang, Jian-Guan Lou, Lei Fang, Weiwei Cui, Xiaoyu Zhang, Yun Wang.

Figure 1
Figure 1. Figure 1: Examples created by Text-to-Viz. (a)-(d) are generated from the statement: “More than 20% of smartphone users are [PITH_FULL_IMAGE:figures/full_fig_p001_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Example of breaking a search result (Infographic of Infograph [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 5
Figure 5. Figure 5: Exemplars of rank-related infographics [56, 70]: (a) highlighted [PITH_FULL_IMAGE:figures/full_fig_p004_5.png] view at source ↗
Figure 4
Figure 4. Figure 4: Exemplars of change-related infographics [57, 65]: (a) con [PITH_FULL_IMAGE:figures/full_fig_p004_4.png] view at source ↗
Figure 6
Figure 6. Figure 6: Exemplars of infographics with multiple facts [50]: (a) side-by [PITH_FULL_IMAGE:figures/full_fig_p005_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: An example of entities and labels in a statement. Following [PITH_FULL_IMAGE:figures/full_fig_p006_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: (a) A layout blueprint example and (b) its realization. [PITH_FULL_IMAGE:figures/full_fig_p007_8.png] view at source ↗
read the original abstract

Combining data content with visual embellishments, infographics can effectively deliver messages in an engaging and memorable manner. Various authoring tools have been proposed to facilitate the creation of infographics. However, creating a professional infographic with these authoring tools is still not an easy task, requiring much time and design expertise. Therefore, these tools are generally not attractive to casual users, who are either unwilling to take time to learn the tools or lacking in proper design expertise to create a professional infographic. In this paper, we explore an alternative approach: to automatically generate infographics from natural language statements. We first conducted a preliminary study to explore the design space of infographics. Based on the preliminary study, we built a proof-of-concept system that automatically converts statements about simple proportion-related statistics to a set of infographics with pre-designed styles. Finally, we demonstrated the usability and usefulness of the system through sample results, exhibits, and expert reviews.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper claims to have conducted a preliminary study exploring the design space of infographics, built a proof-of-concept system (Text-to-Viz) that automatically converts natural language statements about simple proportion-related statistics into infographics using pre-designed styles, and demonstrated the system's usability and usefulness via sample results, exhibits, and expert reviews.

Significance. If the described pipeline holds, the work could lower barriers for casual users to produce engaging proportion-based infographics without requiring design expertise or time-intensive authoring, contributing to automated visualization tools in HCI.

major comments (2)
  1. [Abstract] Abstract and overall manuscript: the central claim rests on system construction and qualitative expert feedback, yet the text supplies no implementation details, metrics, failure cases, or quantitative evaluation, preventing verification of whether the pre-designed styles reliably cover the targeted input class.
  2. [Preliminary Study] Preliminary study section: the claim that this study sufficiently maps the design space to enable acceptable pre-designed styles for simple proportion statements is load-bearing, but no methodology, participant details, or derivation process for the styles is provided to assess coverage or completeness.
minor comments (2)
  1. Add explicit discussion of related work on NL-to-vis systems and infographic authoring tools to better situate the contribution.
  2. Clarify the exact scope of 'simple proportion-related statistics' with examples of supported and unsupported statement types.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the detailed feedback. The comments highlight areas where the manuscript can be strengthened with additional details on the system and study. We will revise accordingly while maintaining the proof-of-concept nature of the work.

read point-by-point responses

  1. Referee: [Abstract] Abstract and overall manuscript: the central claim rests on system construction and qualitative expert feedback, yet the text supplies no implementation details, metrics, failure cases, or quantitative evaluation, preventing verification of whether the pre-designed styles reliably cover the targeted input class.

    Authors: We agree that the current version provides limited implementation specifics. In the revision, we will add a dedicated system implementation section describing the NLP pipeline for parsing proportion statements, the rule-based style selection mechanism, the set of pre-designed styles, and concrete examples of both successful outputs and failure cases (e.g., ambiguous statements or unsupported proportion types). We will also include a limitations subsection discussing coverage of the input class. As the contribution is framed as a proof-of-concept rather than a production system, the evaluation remains qualitative via expert reviews; we will clarify this positioning and note that quantitative metrics (e.g., coverage rate on a held-out statement set) could be added if the reviewers consider them essential. revision: yes

  2. Referee: [Preliminary Study] Preliminary study section: the claim that this study sufficiently maps the design space to enable acceptable pre-designed styles for simple proportion statements is load-bearing, but no methodology, participant details, or derivation process for the styles is provided to assess coverage or completeness.

    Authors: We acknowledge that the preliminary study section is currently high-level. In the revision, we will expand it to report the study methodology (e.g., how infographic examples were collected and analyzed), participant information (number, background, recruitment), the process used to derive the design space dimensions, and the explicit mapping from study findings to the final pre-designed styles. This will allow readers to evaluate the completeness and rationale for the chosen styles. revision: yes

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The paper presents a proof-of-concept system for generating infographics from proportion-related statements. It relies on a preliminary study to explore the design space, followed by system construction with pre-designed styles, and evaluation via sample results and expert reviews. No equations, derivations, fitted parameters, predictions, or load-bearing self-citations appear in the argument. The central claim reduces to system construction and qualitative demonstration rather than any self-referential loop or imported uniqueness result. The derivation chain is self-contained against external benchmarks of system-building papers.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

No mathematical content, free parameters, axioms, or invented entities are present in the abstract; the work is a system-building effort in HCI.

pith-pipeline@v0.9.0 · 5714 in / 940 out tokens · 17886 ms · 2026-05-24T18:25:44.930347+00:00 · methodology

discussion (0)

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