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

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
JournalUniversal Access in the Information Society
Early online date11 May 2023
DOIs
Publication statusE-pub ahead of print - 11 May 2023

Bibliographical note

Funding Information:
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.

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

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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