Evidence map›Paper›PMID 40594754›Full record

ArticleScientific reports2025

Alternative audio-graphic method for presenting structural information in mathematical graphs designed for low-vision users.

Ewa Dzierzgowska, Michał Maćkowski, Mateusz Kawulok, Piotr Brzoza, Stella Maćkowska, Dominik Spinczyk

Abstract read
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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ewa DzierzgowskaFaculty of Biomedical Engineering, Department of Medical Informatics and Artificial Intelligence, Silesian University of Technology, Zabrze, Poland.
Michał MaćkowskiFaculty of Automatic Control, Electronics and Computer Science, Department of Distributed Systems and Informatic Devices, Silesian University of Technology, Gliwice, Poland.
Mateusz KawulokFaculty of Automatic Control, Electronics and Computer Science, Department of Distributed Systems and Informatic Devices, Silesian University of Technology, Gliwice, Poland.
Piotr BrzozaFaculty of Automatic Control, Electronics and Computer Science, Department of Distributed Systems and Informatic Devices, Silesian University of Technology, Gliwice, Poland.
Stella MaćkowskaFaculty of Biomedical Engineering, Department of Medical Informatics and Artificial Intelligence, Silesian University of Technology, Zabrze, Poland. stella.mackowska@polsl.pl.
Dominik SpinczykFaculty of Biomedical Engineering, Department of Medical Informatics and Artificial Intelligence, Silesian University of Technology, Zabrze, Poland.

Funding

European Funds for Silesia 2021-2027 Program co-financed by the Just Transition Fund FESL.10.25-IZ.01-07G5/23
6 · The paper itself

Abstract

Despite advances in assistive technologies, existing tools for teaching mathematics to students with low vision often fail to effectively convey structural information in graphs and function plots. Current methods, such as screen readers or magnifiers, are frequently limited in their ability to present complex visual data, leading to increased cognitive load and reduced learning efficiency. This article introduces the audio-graphic method designed to address these limitations by integrating audio feedback with graphical content. The method was implemented in an educational platform and evaluated with a group of visually impaired participants divided into three subgroups based on the WHO classification of visual impairment: mild, moderate, and severe. The findings indicate that the proposed method achieves comparable or improved learning outcomes with reduced effort and frustration, particularly for students with mild and severe low vision. Statistically significant reductions in task completion times were observed, especially for complex exercises involving power and trigonometric functions. Usability assessments further confirm the platform's accessibility and ease of use. These results suggest promising directions for developing multimodal educational tools that better support STEM learning for individuals with low vision.

Indexed as

MathematicsVision, LowAdultFemaleHumansLearningMaleMiddle AgedPersons with Visual DisabilitiesYoung AdultAssistive technologyLow-vision usersMathematics educationMobile application for the blindVisually impaired

Identifiers

PMID40594754
PMCPMC12216984

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.