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Evaluating the Acceptability of AI-Personalized Virtual Reality Picture Books for Hospitalized Pediatric Patients

NCT07637617 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 15

Last updated 2026-08-19

No results posted yet for this study

Summary

Hospitalization strips pediatric patients of the environments, objects, and people that shape their daily lives. Hospitalized pediatric patients routinely experience painful procedures, psychological distress, boredom, and a disorienting loss of personal identity. These experiences measurably worsen anxiety, reduce cooperation with care, and diminish the quality of the inpatient experience for both patients and families. Immersive digital interventions, including VR and tablet-based experiences, have emerged as a promising class of tools for addressing these challenges. Prior studies from The Stanford Chariot Program have demonstrated that digitally delivered, patient-centered experiences can meaningfully reduce procedural anxiety and improve engagement in hospitalized children.

Yet, an important limitation persists in these technologies - current digital interventions largely remain in one-size-fits-all formats. Every child receives the same content, regardless of who they are, what they love, or what makes them feel at home in the world. This design limits therapeutic relevance, constrains engagement, and represents a missed opportunity to engage children, reduce anxiety, and enhance their quality of life during hospital stays.

Conditions

  • Large Language Model

Interventions

BEHAVIORAL

LLM-audiobook

Develop and refine a two-stage personalization LLM pipeline: (1) a structured brief interview template and (2) an LLM prompt chain for content generation. The interview instrument will be a structured guide (\~20 minutes) capturing details about the child's background, interests, and aspirations. All information collected during the interview will be deidentified prior to being passed into the LLM. Content Generation: Deidentified interview responses will be input to a standardized LLM prompt pipeline. The pipeline generates a structured patient profile that interprets the participant's interests, personality, and preferences, then uses that profile to produce a personalized narrative, formatted as a picture book story. AI voice synthesis will generate an audio narration of the story. AI image generation tools will produce a set of 6-10 accompanying illustrations. The final product - a synchronized audio picture book - will be delivered via VR headset at bedside.

Sponsors & Collaborators

Principal Investigators

  • Samuel Rodriguez, MD · Stanford University

  • Thomas Caruso, MD,PhD · Stanford University

Study Design

Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
9 Years
Max Age
17 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-09-01
Primary Completion
2027-08-31
Completion
2027-08-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07637617 on ClinicalTrials.gov