Evidence map›Paper›PMID 36919036›Full record

ArticleProceedings of the ... International Conference on Auditory Display. International Conference on Auditory Display2022

EVALUATION OF A NON-VISUAL AUDITORY CHOROPLETH AND TRAVEL MAP VIEWER.

Brandon Biggs, James M Coughlan, Christopher Toth, Bruce N Walker, Tony Stockman

Abstract read
In one paragraph

Article in Proceedings of the ... International Conference on Auditory Display. International Conference on Auditory Display, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Systematically Evaluating Digital Map Tools Based on the WCAG.Journal on technology and persons with disabilities : ... Annual International Technology and Persons with Disabilities Conference · 2025
    Article
  2. 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

5 authors.

Brandon BiggsSmith-Kettlewell Eye Research Institute and Georgia Institute of Technology San Francisco and Atlanta, USA.
James M CoughlanSmith-Kettlewell Eye Research Institute San Francisco, USA.
Christopher TothSmith-Kettlewell Eye Research Institute San Francisco, USA.
Bruce N WalkerGeorgia Institute of Technology Atlanta, USA.
Tony StockmanQueen Mary University of London London, UK.

Funding

Leveraging Maps and Computer Vision to Support Indoor Navigation for Blind TravelersR01EY029033 · NEI · SMITH-KETTLEWELL EYE RESEARCH INSTITUTE · PI COUGHLAN, JAMES M · 2018 to 2021
$2.2M
ACL HHS 90IFDV0020ACL HHS 90RE5024NEI NIH HHS R01 EY029033
6 · The paper itself

Abstract

The auditory virtual reality interface of Audiom, a web-based map viewer, was evaluated by thirteen blind participants. In Audiom, the user is an avatar that navigates, using the arrow keys, through geographic data, as if they are playing a first-person, egocentric game. The research questions were: What will make blind users want to use Audiom maps? And Can participants demonstrate basic acquisition of spatial knowledge after viewing an auditory map? A dynamic choropleth map of state-level US COVID-19 data, and a detailed OpenStreetMap powered travel map, were evaluated. All participants agreed they wanted more maps of all kinds, in particular county-level COVID data, and they would use Audiom once some bugs were fixed and their few recommended features were added. Everyone wanted to see Audiom embedded in their existing travel and mapping applications. All participants were able to answer a question evaluating spatial knowledge. Participants also agreed this spatial information was not available in existing applications.

Identifiers

PMID36919036
PMCPMC10010675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.