Artificial intelligence (AI) in pediatric sleep: AI vs. expert-generated psychotherapeutic pediatric sleep stories

Publication typeJournal Article
Publication date2024-12-17
scimago Q4
wos Q4
SJR0.247
CiteScore1.7
Impact factor0.5
ISSN14329123, 1439054X
Abstract
Background

Adequate sleep is crucial for child health and development; however, sleep problems are common, affecting 25% of children. Psychotherapeutic stories are an effective tool in child therapy, with key elements including relatable characters, clear messages, emotional engagement, and interactivity. Such stories can help children regulate emotions, develop problem-solving skills, and model positive behaviors. Research on therapeutic stories for sleep issues is limited.

Objective

The aim of this study is to investigate whether trained reviewers can identify artificial intelligence (AI)-constructed psychotherapeutic sleep stories for children.

Materials and methods

Four reviewers trained in developing therapeutic stories evaluated 20 bedtime stories (10 psychotherapist-constructed and 10 AI-constructed) assigned to them at random. The AI-constructed stories were created using ChatGPT. Participants completed a questionnaire after reading each story, focusing on various aspects of the content. In a second step, the reviewers participated in a 30-minute interview for qualitative feedback.

Results

Analysis of 80 questionnaires from four reviewers revealed that 85% of all stories were correctly categorized, with 95% of AI stories identified as such. Expert stories were categorized correctly in 75% of the cases. However, results also show that AI-constructed stories lacked in sleep-related cognitions, emotions, and daytime consequences, but included sleep-related problems and recommendations. Reviewers noted similarities in story structure and repetition in AI-generated stories.

Conclusion

The need for prevention tools for sleep disturbances is urgent, with early interventions for different age groups essential. This pilot study showed that AI- and expert-constructed psychotherapeutic stories share similarities in addressing sleep-related problems; however, the latter seem to be superior regarding key elements of such stories. Future research should involve a wider range of professionals and parents. Ultimately, tailored stories may play a key role in early interventions for children’s sleep health.

Found 
Found 

Top-30

Journals

1
Journal of Sleep Research
1 publication, 33.33%
European Journal of Pediatrics
1 publication, 33.33%
1

Publishers

1
Wiley
1 publication, 33.33%
Springer Nature
1 publication, 33.33%
Cold Spring Harbor Laboratory
1 publication, 33.33%
1
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GOST Copy
Schlarb A. A. et al. Artificial intelligence (AI) in pediatric sleep: AI vs. expert-generated psychotherapeutic pediatric sleep stories // Somnologie. 2024.
GOST all authors (up to 50) Copy
Schlarb A. A., Faber J. Artificial intelligence (AI) in pediatric sleep: AI vs. expert-generated psychotherapeutic pediatric sleep stories // Somnologie. 2024.
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RIS Copy
TY - JOUR
DO - 10.1007/s11818-024-00491-2
UR - https://link.springer.com/10.1007/s11818-024-00491-2
TI - Artificial intelligence (AI) in pediatric sleep: AI vs. expert-generated psychotherapeutic pediatric sleep stories
T2 - Somnologie
AU - Schlarb, Angelika A.
AU - Faber, Jasmin
PY - 2024
DA - 2024/12/17
PB - Springer Nature
SN - 1432-9123
SN - 1439-054X
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2024_Schlarb,
author = {Angelika A. Schlarb and Jasmin Faber},
title = {Artificial intelligence (AI) in pediatric sleep: AI vs. expert-generated psychotherapeutic pediatric sleep stories},
journal = {Somnologie},
year = {2024},
publisher = {Springer Nature},
month = {dec},
url = {https://link.springer.com/10.1007/s11818-024-00491-2},
doi = {10.1007/s11818-024-00491-2}
}