Evidence map›Paper›PMID 35224455›Full record

ArticleProceedings of the ACM on human-computer interaction2021

Bringing Things Closer: Enhancing Low-Vision Interaction Experience with Office Productivity Applications.

Hae-Na Lee, Vikas Ashok, I V Ramakrishnan

Abstract read
In one paragraph

Article in Proceedings of the ACM on human-computer interaction, 2021. 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

3 authors.

Hae-Na LeeStony Brook University, USA.
Vikas AshokOld Dominion University, USA.
I V RamakrishnanStony Brook University, USA.

Funding

Rethinking Electronic Fetal Monitoring to Improve Perinatal Outcomes and Reduce Frequency of Operative Vaginal and Cesarean DeliveriesR01HD097188 · NICHD · STATE UNIVERSITY NEW YORK STONY BROOK · PI DJURIC, PETAR M, QUIRK, J GERALD · 2019 to 2023
$3.2M
Space-Compacting Magnification Augmented with Natural Gestures and Keyboardless Text Entry for Low Vision Smartphone InteractionR01EY030085 · NEI · STATE UNIVERSITY NEW YORK STONY BROOK · PI RAMAKRISHNAN, I.V. · 2020 to 2022
$1.1M
Semantics-Preserving Virtualization: A Computing System Framework to Run Any Screen Reader on Any Device with Easy CustomizationR01EY026621 · NEI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PORTER, DONALD ELLIOTT · 2016 to 2018
$952k
NEI NIH HHS R01 EY026621NEI NIH HHS R01 EY030085NICHD NIH HHS R01 HD097188
6 · The paper itself

Abstract

Many people with low vision rely on screen-magnifier assistive technology to interact with productivity applications such as word processors, spreadsheets, and presentation software. Despite the importance of these applications, little is known about their usability with respect to low-vision screen-magnifier users. To fill this knowledge gap, we conducted a usability study with 10 low-vision participants having different eye conditions. In this study, we observed that most usability issues were predominantly due to high spatial separation between main edit area and command ribbons on the screen, as well as the wide span grid-layout of command ribbons; these two GUI aspects did not gel with the screen-magnifier interface due to lack of instantaneous WYSIWYG (What You See Is What You Get) feedback after applying commands, given that the participants could only view a portion of the screen at any time. Informed by the study findings, we developed MagPro, an augmentation to productivity applications, which significantly improves usability by not only bringing application commands as close as possible to the user's current viewport focus, but also enabling easy and straightforward exploration of these commands using simple mouse actions. A user study with nine participants revealed that MagPro significantly reduced the time and workload to do routine command-access tasks, compared to using the state-of-the-art screen magnifier.

Indexed as

AccessibilityLow VisionOffice Productivity SoftwareScreen MagnifierUsabilityWord Processor

Identifiers

PMID35224455
PMCPMC8871469

What OpenQuestion holds

Textmetadata
LicenceTDM
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.