A social robot connected with chatGPT to improve cognitive functioning in ASD subjects
Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families and society. Technology, including AI and digital technologies, offers potential solutions for the assessment, monitoring, and treatment of NDDs. However, further research is needed to determine t...
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Published in | Frontiers in psychology Vol. 14; p. 1232177 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Media S.A
05.10.2023
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Subjects | |
Online Access | Get full text |
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Summary: | Neurodevelopmental Disorders (NDDs) represent a significant healthcare and economic burden for families and society. Technology, including AI and digital technologies, offers potential solutions for the assessment, monitoring, and treatment of NDDs. However, further research is needed to determine the effectiveness, feasibility, and acceptability of these technologies in NDDs, and to address the challenges associated with their implementation. In this work, we present the application of social robotics using a Pepper robot connected to the OpenAI system (Chat-GPT) for real-time dialogue initiation with the robot. After describing the general architecture of the system, we present two possible simulated interaction scenarios of a subject with Autism Spectrum Disorder in two different situations. Limitations and future implementations are also provided to provide an overview of the potential developments of interconnected systems that could greatly contribute to technological advancements for Neurodevelopmental Disorders (NDD). |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Davide Marocco, University of Naples Federico II, Italy Reviewed by: Angelo Rega, Federico II University Hospital, Italy; Paulina Tsvetkova, Bulgarian Academy of Sciences (BAS), Bulgaria; Anna Lekova, Bulgarian Academy of Sciences (BAS), Bulgaria |
ISSN: | 1664-1078 1664-1078 |
DOI: | 10.3389/fpsyg.2023.1232177 |