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arxiv: 2604.09134 · v1 · submitted 2026-04-10 · 💻 cs.HC · cs.GR

Recognition: no theorem link

Enhance Comprehension of Over-the-Counter Drug Instructions for the General Public and Medical Professionals through Visualization Design

Mengjie Fan , Katrin Angerbauer , Yinchu Cheng , Yingying Yan , Xiaohan Xu , Tianfu Wang , Michael Sedlmair , Yu Yang
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Liang Zhou
Authors on Pith no claims yet

Pith reviewed 2026-05-10 18:05 UTC · model grok-4.3

classification 💻 cs.HC cs.GR
keywords OTC drug instructionsvisualization designuser studycomprehensionmedical professionalsgeneral publictaxonomydesign workflow
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The pith

Two audience-specific visualization designs for over-the-counter drug instructions reduce response time and boost usability compared to plain text.

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

The paper develops visualization formats for over-the-counter drug instructions aimed at both everyday users and medical professionals. Separate designs for each group were created through iteration and then compared to standard text labels in a controlled study. The visuals produced faster answers and higher usability ratings, and offering both versions together added further benefit. The authors also built a classification system for many OTC instructions drawn from an official database and described a step-by-step workflow for applying similar visual strategies to other medications.

Core claim

The authors present two tailored visualization designs—one for the general public and one for medical professionals—that improve comprehension of OTC drug instructions. A controlled user study demonstrates that these designs lead to shorter response times and better usability scores than traditional text-based instructions, with the option of both versions providing additional benefits. They also propose a taxonomy of OTC drug instructions derived from systematic classification of samples from an official database and a reusable workflow for visualization design in this domain.

What carries the argument

Audience-tailored visualization designs for drug instructions, developed iteratively and validated through user testing, that transform textual medication guidelines into visual formats optimized for different user groups.

If this is right

  • Medical professionals can retrieve usage details more quickly during patient interactions or dispensing.
  • General users reduce the chance of misinterpreting dosage, warnings, or contraindications on packaging.
  • The taxonomy supports consistent visual treatment across a wide range of OTC products.
  • The workflow gives designers a repeatable process for creating visuals for other health documents.
  • Dual versions let users select the format that matches their background or preference.

Where Pith is reading between the lines

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

  • The same visual approach could extend to prescription drug labels to address similar reading problems in clinics.
  • Integration into pharmacy apps or on-site kiosks might make the instructions available at the moment of purchase.
  • Real-world testing under time pressure and varying lighting would show whether the speed gains hold outside the lab.
  • Regulatory bodies could consider requiring visual elements alongside text on standardized OTC labels.

Load-bearing premise

The user study participants, specific drugs tested, and controlled lab setting accurately represent how diverse real-world people will interact with these instructions in everyday situations.

What would settle it

A field study with varied demographics in actual pharmacies showing no improvement or worse error rates and comprehension compared to existing text instructions.

Figures

Figures reproduced from arXiv: 2604.09134 by Katrin Angerbauer, Liang Zhou, Mengjie Fan, Michael Sedlmair, Tianfu Wang, Xiaohan Xu, Yinchu Cheng, Yingying Yan, Yu Yang.

Figure 1
Figure 1. Figure 1: Drug instructions for paracetamol/acetaminophen in China (a), US [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: The process of our visualization design study for drug instructions. [PITH_FULL_IMAGE:figures/full_fig_p004_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: The visualization of levofloxacin’s indications poses a comprehension [PITH_FULL_IMAGE:figures/full_fig_p005_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: A conceptual overview of the initial prototype (complete version) for [PITH_FULL_IMAGE:figures/full_fig_p007_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Examples of three categories of precautions—contraindication (a,d), [PITH_FULL_IMAGE:figures/full_fig_p007_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Four complementary visualization forms for drug interactions of [PITH_FULL_IMAGE:figures/full_fig_p008_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: The (left) simplified and (right) complete versions of the visualization design for paracetamol. Three common modules are included in both versions: (1) [PITH_FULL_IMAGE:figures/full_fig_p009_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Visualization designs for indication, usage, and dosage of three cate [PITH_FULL_IMAGE:figures/full_fig_p010_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Results of the user study. Each measurement is visualized with a [PITH_FULL_IMAGE:figures/full_fig_p013_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: The main concerns/interests of drug instructions in daily medication [PITH_FULL_IMAGE:figures/full_fig_p014_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Taxonomy and visualization design framework for OTC drug instructions. (1) Our taxonomy of drug instructions, and in this work, we focus on OTC drug [PITH_FULL_IMAGE:figures/full_fig_p015_11.png] view at source ↗
read the original abstract

Drug instructions are crucial for guiding the rational use of medication. We conduct a visualization design study to enhance the comprehension of over-the-counter (OTC) drug instructions, targeting both the general public and medical professionals. We devise two tailored drug instruction designs for different audience groups through an iterative design process. A controlled user study reveals that our design outperforms traditional text-based instructions in terms of response time and usability, and the availability of two versions is also found to be beneficial. This study also motivates a taxonomy based on a systematic classification of OTC drug instructions sampled from an official drug database, which received positive expert feedback. Finally, this study summarizes a workflow for a visualization design strategy based on our design exploration and user study feedback, which can be generalized to other OTC drug instructions.

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 conducts a visualization design study for over-the-counter (OTC) drug instructions, developing two audience-specific designs (general public and medical professionals) via iterative design. It reports a controlled user study showing faster response times and higher usability versus traditional text instructions, plus benefits from offering both versions. The work also presents a taxonomy derived from classifying sampled OTC instructions from an official database (with expert feedback) and summarizes a generalizable workflow for visualization design strategies in this area.

Significance. If the user-study results hold under proper reporting and analysis, the designs could meaningfully improve medication safety and comprehension for broad audiences, addressing a practical public-health need. The taxonomy offers a systematic classification that may aid future work, and the workflow provides a reusable strategy for health-information visualizations. The iterative design process and expert validation are constructive elements that strengthen the contribution if the empirical foundation is solidified.

major comments (2)
  1. [User study description] User study (abstract and methods): the central claim that the designs outperform text-based instructions on response time and usability rests on a controlled study, yet no participant count, recruitment method, demographics, task descriptions, statistical tests (p-values, effect sizes, confidence intervals), or exclusion criteria are supplied. This gap directly prevents assessment of whether differences are reliable, powered, or free of confounds, undermining the strongest empirical assertion.
  2. [Taxonomy] Taxonomy section: positive expert feedback is cited as validation, but the manuscript does not report the number of experts, their qualifications, the feedback protocol, or any quantitative/qualitative analysis of responses. This weakens the support for the taxonomy's utility and generalizability.
minor comments (2)
  1. [Figures] Figure captions and legends could more explicitly link visual elements to the claimed usability improvements for quicker reader comprehension.
  2. [Workflow] The workflow summary would benefit from a numbered step-by-step diagram or pseudocode to clarify how the iterative process and study feedback translate into reusable guidelines.

Simulated Author's Rebuttal

2 responses · 0 unresolved

Thank you for the constructive feedback on our manuscript. We appreciate the referee's careful reading and will use these comments to improve the clarity and completeness of the reporting. We address each major comment below.

read point-by-point responses

  1. Referee: [User study description] User study (abstract and methods): the central claim that the designs outperform text-based instructions on response time and usability rests on a controlled study, yet no participant count, recruitment method, demographics, task descriptions, statistical tests (p-values, effect sizes, confidence intervals), or exclusion criteria are supplied. This gap directly prevents assessment of whether differences are reliable, powered, or free of confounds, undermining the strongest empirical assertion.

    Authors: We agree that the current version of the manuscript does not provide sufficient methodological and statistical detail for the user study. In the revised manuscript we will expand the Methods and Results sections to report the exact participant count, recruitment method and platform, demographic breakdown, full task descriptions and stimuli, the statistical tests performed, p-values, effect sizes, confidence intervals, and any exclusion criteria. These additions will allow readers to assess the reliability, power, and potential confounds of the reported differences. revision: yes

  2. Referee: [Taxonomy] Taxonomy section: positive expert feedback is cited as validation, but the manuscript does not report the number of experts, their qualifications, the feedback protocol, or any quantitative/qualitative analysis of responses. This weakens the support for the taxonomy's utility and generalizability.

    Authors: We acknowledge the need for greater transparency regarding the expert validation of the taxonomy. In the revision we will add the number of experts consulted, their professional qualifications and relevant expertise, the protocol used to solicit and record feedback, and a summary of the quantitative or qualitative analysis performed on their responses. This will provide a clearer basis for evaluating the taxonomy's utility and generalizability. revision: yes

Circularity Check

0 steps flagged

No circularity: empirical design study rests on user measurements, not self-referential definitions or fits

full rationale

The paper describes an iterative visualization design process for OTC drug instructions, followed by a controlled user study comparing designs to text baselines, plus a taxonomy motivated by sampled instructions and expert feedback, and a summarized workflow. All central claims (outperformance in response time/usability, benefit of dual versions, positive taxonomy feedback) are presented as direct outcomes of the study and classification rather than any derivation, equation, or parameter fit that reduces to its own inputs. No self-citation load-bearing steps, uniqueness theorems, ansatzes, or renamings of known results appear in the abstract or described structure. The work is self-contained against external benchmarks via reported design iterations and measurements.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is an applied empirical design study in human-computer interaction. It introduces no mathematical derivations, free parameters, axioms, or postulated entities; all claims rest on the described iterative design process, user testing, and expert feedback.

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