Predicting Digital Accessibility Through a Self-Assessment Test of Process Traits

We have developed an 11-question self-assessment test that predicts whether a team is likely to develop accessible digital solutions - or not - based on the characteristics of the development processes. Our results indicate the test can predict both successes and failures with regards to accessibility of digital solutions. As such, teams and product leaders now have an easy way to identify whether the team's knowledge, practices and mindset makes them likely to deliver accessible digital solutions. Further, the test identify which changes are needed for the team to better ensure digital accessibility.

Authors

Institutions

Publication Details

Journal
Studies in health technology and informatics
Published
2024-11-18
DOI
https://doi.org/10.3233/shti241031
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting Digital Accessibility Through a Self-Assessment Test of Process Traits

Miriam Eileen Nes Begnum, Susanne Klungland Harder
Studies in health technology and informatics
Software Engineering Techniques and Practices
article

Predicting Digital Accessibility Through a Self-Assessment Test of Process Traits

Miriam Eileen Nes Begnum, Susanne Klungland Harder
article en

Abstract

We have developed an 11-question self-assessment test that predicts whether a team is likely to develop accessible digital solutions - or not - based on the characteristics of the development processes. Our results indicate the test can predict both successes and failures with regards to accessibility of digital solutions. As such, teams and product leaders now have an easy way to identify whether the team's knowledge, practices and mindset makes them likely to deliver accessible digital solutions. Further, the test identify which changes are needed for the team to better ensure digital accessibility.

Studies in health technology and informaticsVol. 320
Høyskolen Kristiania (NO), Sopra (France) (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Software Engineering Techniques and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.