Billets de Michelle Dawson

Billet publié sur Bluesky le 06/04/2026 11:13

Bluesky Publication avec DOI crossref Extrait cité dans le billet Question posée par Dawson dans le billet Lien intégré au billet Termes sur l’autisme

"the effects of an AI-based intervention (Noora) on emotionally responsive verbal communication in autistic adults" (N=3)?--in which autistic responses "focused on problem-solving" are judged wrong, and subject to "corrective feedback"? link.springer.com/article/10.1... ABA in 2026, COIs, free

Voir sur Bluesky

Liens cités structurés

1 ressource citée

Publication avec DOI Récupéré Publication crossref

Lynn K. Koegel, Paul Wehman, Christopher M. Claude, Monica S. Lam, Tommy Bruzzese, Melanie Derry, Alissa Brooke, Whitney Ham, et al. (2026). Using Artificial Intelligence to Support Emotionally Responsive Verbal Communication Among Autistic Workers in a Work Internship Setting. Journal of Autism and Developmental Disorders. Springer Science and Business Media LLC.

Date de publication
04/04/2026
Identifiant
10.1007/s10803-026-07313-4
Auteurs
Lynn K. Koegel, Paul Wehman, Christopher M. Claude, Monica S. Lam, Tommy Bruzzese, Melanie Derry, Alissa Brooke, Whitney Ham, Elizabeth Ponder, Trylanda J. Roane, Benjamin Rooney, John Anderson
Source
Journal of Autism and Developmental Disorders
Type de référence
article
Éditeur
Springer Science and Business Media LLC
Source de métadonnées
crossref

Résumé

Abstract Purpose Some autistic adults experience barriers to employment related to differences in social communication, including responding to others’ emotional cues in workplace interactions. This study extends prior randomized controlled evaluations of Noora by examining feasibility and individual-level change when the intervention is implemented with autistic young adults enrolled in an intensive vocational internship program, using a multiple baseline single-case design with repeated measurement to examine changes in relation to intervention onset within a real-world employment context. Methods Using a concurrent multiple baseline design across three participants, we evaluated the effects of Noora, an AI-based conversational training tool. Participants completed regular training sessions focused on practicing emotionally responsive verbal communication with real-time AI-generated feedback. The primary dependent variable was performance on standardized, human-delivered conversation probes designed to elicit emotionally responsive communication in workplace-relevant scenarios across baseline, intervention, and retention phases. Results All participants demonstrated immediate improvements in emotionally responsive verbal communication after starting the Noora program. Gains were observed within Noora training sessions and during generalization and retention conversation probes. These effects were supported by visual analysis and strong effect sizes, indicating a functional relationship between the program and improved emotionally responsive verbal communication. Conclusion Findings suggest that Noora is a feasible and scalable intervention for supporting emotionally responsive communication in autistic young adults within vocational training contexts.

Auteur·ices de l’étude dans cette référence citée