Evidence map›Paper›PMID 42844463›Full record

ArticleEuropean journal of pediatrics2026

Conversational artificial intelligence and children's social-emotional development: a scoping review.

Aditya Hemendra Bhatt, Somashekhar Marutirao Nimbalkar, Archana Somashekhar Nimbalkar

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in European journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Aditya Hemendra BhattDepartment of Neonatology, Pramukhswami Medical College and Shree Krishna Hospital, Bhaikaka University, Gokalnagar, Karamsad, 388325, Gujarat, India. adityabhatt47@gmail.com.ORCID http://orcid.org/0000-0002-7284-2915
Somashekhar Marutirao NimbalkarDepartment of Pediatrics, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.ORCID http://orcid.org/0000-0003-2825-2819
Archana Somashekhar NimbalkarDepartment of Physiology, Pramukhswami Medical College, Bhaikaka University, Karamsad, Gujarat, India.ORCID http://orcid.org/0000-0002-0012-4025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to map evidence on how children's and adolescents' interactions with conversational artificial intelligence (AI)-including generative chatbots, AI companions, voice assistants, social robots, and AI-enabled toys-relate to social and emotional development. We conducted a JBI-informed scoping review reported according to PRISMA-ScR. A three-stage search combined systematic review citation harvesting, targeted electronic searches, backward and forward citation checking, and searches of regulator and child-research organization websites through 3 August 2026. Eligible sources involved participants younger than 18 years and reported affective, relational, social communication, trust, anthropomorphism, disclosure, attachment, loneliness, well-being, or family/peer outcomes. Findings were descriptively mapped by technology and developmental domain. Forty-four eligible reports represented 34 distinct evidence sources: nine social-robot sources, four voice-assistant/smart-speaker sources, 15 generative-chatbot sources, and six AI-companion/social-chatbot sources. Social robots most consistently improved immediate engagement, acute distress, or specifically trained communication behaviors. Children differentiated AI from humans but often attributed knowledge, agency, moral standing, or relationship-like qualities. Generative systems supported emotional expression and parent-child dialogue, whereas relational framing increased human-likeness, trust, and emotional closeness. Population surveys showed substantial use of emotional support and sensitive disclosure, particularly among certain vulnerable groups. No study established a durable developmental benefit or a safe substitution for human relationships.

conclusionConversational AI may offer useful, supervised scaffolding for engagement and communication, but the evidence is heterogeneous, largely short term, and insufficient to support AI as an autonomous emotional caregiver or a substitute friend. WHAT IS KNOWN: • Children increasingly interact with socially responsive AI and may attribute knowledge, emotion, agency, or relational qualities to these systems. WHAT IS NEW: • Relational design increases anthropomorphism, trust, and emotional closeness; current evidence supports supervised adjunctive use but not long-term developmental benefit or replacement of human relationships.

Indexed as

Artificial IntelligenceChild DevelopmentCommunicationSocial InteractionAdolescentChildEmotionsGenerative Artificial IntelligenceHumansAdolescentAnthropomorphismArtificial intelligenceChild developmentConversational agentSocial robot

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.