A user-based information rating scale to evaluate the design of technology-based supports for autism

Vanessa Zervogianni, Sue Fletcher-Watson, Gerardo Herrera, Matthew S. Goodwin, Elise Triquell, Patricia Pérez-Fuster, Mark Brosnan, Ouriel Grynszpan

Research output: Contribution to journalArticlepeer-review

1 Citation (SciVal)

Abstract

The present study aimed to merge expertise from evidence-based practice and user-centered design to develop a rating scale for considering user input and other sources of information about end-users in studies reporting on the design of technology-based support for autism. We conducted a systematic review of the relevant literature to test the reliability and validity of the scale. The scale demonstrated acceptable reliability and validity based on a randomized sample of 211 studies extracted from the output of the systematic review. The scale can help provide a more complete assessment of the quality of the design process of technology-based supports for autism and be beneficial to autistic people, their families, and related professionals in making informed decisions regarding such supports.

Original languageEnglish
Pages (from-to)1739-1749
JournalUniversal Access in the Information Society
Volume23
Early online date11 May 2023
DOIs
Publication statusPublished - 30 Nov 2024

Data Availability Statement

All data generated or analyzed during this study are included in this published article and its supplementary information files.

Funding

This work was supported by a grant from a consortium composed of the International Foundation of Applied Disability Research, Orange Foundation, and UEFA (Union of European Football Associations) foundation for children (Grant Number: APa2016_026). This publication has also received financial support from the project Indigo! (Spanish Ministry of Science and Innovation and Universidad Autónoma de Madrid, with reference PID2019-105951RB-I00/AEI/10.13039/501100011033). The funding sources were not involved in conducting the research study.

Keywords

  • Autism
  • Digital technology
  • Evidence-based practice
  • Evidence-based software engineering
  • User-centered design

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Networks and Communications

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