Teach Yourself to Learn (Facial) Expressions: An Acceptability and Usability Study of an App Teaching Facial Emotion Recognition Skills to Autistic Children

Natalie Grace Wall, Mark Wallis, Oliver Smith, Linda Campbell, Carmel Loughland, Ulrich Schall

Research output: Contribution to journalArticlepeer-review

11 Downloads (Pure)

Abstract

This study investigated TYLES, an iPad app adapting a tile-matrix task to support facial expression recognition in autistic children. The main aims of the study were to create an engaging app, assess user engagement and gauge its appeal with this population. Fifteen autistic children and their caregivers participated. Children used the iPad app daily for two weeks. While usability of the app was high, caregivers reported it as monotonous despite being easy for the child to navigate. Interestingly, children used the app for 12.6 minutes per day and achieved high accuracy (>90%) in recognizing emotions regardless of the expression type. These findings suggest children were already skilled at recognizing basic emotions, rendering the task unchallenging. Overall, the study results suggested that the TYLES app was usable but not accepted in its current form. This highlights the need for co-produced interventions and reconsidering the population on which the app is tested.
Original languageEnglish
Number of pages15
JournalInternational Journal of Human–Computer Interaction
DOIs
Publication statusE-pub ahead of print (In Press) - 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published with license by Taylor & Francis Group, LLC.

Keywords

  • Acceptability
  • Autism
  • Emotion Recognition
  • Mobile Application
  • Usability

Fingerprint

Dive into the research topics of 'Teach Yourself to Learn (Facial) Expressions: An Acceptability and Usability Study of an App Teaching Facial Emotion Recognition Skills to Autistic Children'. Together they form a unique fingerprint.

Cite this