Evidence map›Paper›PMID 42239739›Full record

ArticleASSETS. Annual ACM Conference on Assistive Technologies2025

Beyond Beautiful: Embroidering Legible and Expressive Tactile Graphics.

Margaret Ellen Seehorn, Claris Winston, Bo Liu, Gene S-H Kim, Emily White, Nupur Gorkar, Kate S Glazko, Aashaka Desai, Jerry Cao, Megan Hofmann and 1 more

Abstract read
In one paragraph

Article in ASSETS. Annual ACM Conference on Assistive Technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

11 authors.

Margaret Ellen SeehornUniversity of Michigan, Ann Arbor, Michigan, USA.
Claris WinstonUniversity of Washington, Seattle, Washington, USA.
Bo LiuCornell University, New York, New York, USA.
Gene S-H KimStanford University, Stanford University, Stanford, California, USA.
Emily WhiteUniversity of Washington, Seattle, Washington, USA.
Nupur GorkarUniversity of Washington, Seattle, Washington, USA.
Kate S GlazkoUniversity of Washington, Seattle, Washington, USA.
Aashaka DesaiPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.
Jerry CaoPaul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, Washington, USA.
Megan HofmannKhoury College of Computer Sciences, Northeastern University, Boston, Massachusetts, USA.
Jennifer MankoffAllen School of Computer Science and Engineering, University of Washington, Seattle, Washington, USA.

Funding

ACL HHS 90REGE0026
6 · The paper itself

Abstract

Tactile graphics present visual information to blind and visually-impaired individuals in an accessible way, through touch. Current methods for producing tactile graphics, such as embossing or swell-paper printing, have limitations such as durability - and the tools required to produce them are limited in expressiveness. In this project, we explore embroidery as a medium for producing tactile graphics. Embroidery, traditionally known for its variety and visual beauty, offers not just improved durability and ease of production - but the ability to convey information through a broad range of stitch types. Following an exploration of the design space of embroidered tactile graphics, we identify key perceptual properties that impact how embroidered textures are differentiated. Based on these differences, we introduce an optimization algorithm for assigning textures to regions of tactile graphics in a way that makes them diverse and legible. We implement an end-to-end pipeline for producing embroidered tactile graphics and evaluate the comprehensibility and legibility of our design with 6 blind participants. Our findings showed that embroidered tactile graphics present information accurately and comprehensively, and that measurable properties, such as the use of spacing and distinctiveness, were an important factor of expressive and legible design.

Indexed as

Blind and Visually ImpairedMachine EmbroideryTactile Graphics

Identifiers

PMID42239739
PMCPMC13227559

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.