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Sara Peck, Conor O'Brien, Jason Bourret, Darryl Agostinelli
(2025).
ChatGPT versus clinician responses to questions in ABA: Preference, identification, and level of agreement.
Journal of Applied Behavior Analysis, 58(4), 731-743.
Wiley.
- Date de publication
-
29/08/2025
- Identifiant
-
10.1002/jaba.70029
- Auteurs
-
Sara Peck,
Conor O'Brien,
Jason Bourret,
Darryl Agostinelli
- Source
- Journal of Applied Behavior Analysis
- Détails
- 58(4), 731-743
- Type de référence
- article
- Éditeur
- Wiley
- Source de métadonnées
- crossref
Résumé
Abstract The potential utility of artificial intelligence (AI) in applied behavior analysis (ABA) is an emerging discussion. There has been limited investigation on the current use, acceptability, or limitations of common AI tools within the field. The current study contributes to these topics by comparing expert clinician and AI (ChatGPT‐4) responses to questions specific to ABA. Fifty‐one behavior analysts were recruited as participants and indicated their preference for and level of agreement with ChatGPT‐4 versus human clinical team responses in a blind assessment. Next, participants' distinctions between the two response sources were evaluated. Finally, participants were asked about their current use of AI to aid in their behavior‐analytic work. Participants significantly preferred and agreed more with ChatGPT‐4 responses than with human responses. Participants could not reliably discriminate between ChatGPT‐4 and human responses. Some of the participants (15.69% of sample) indicated they have used AI to assist in aspects of behavior‐analytic work.
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