Academic Journal
Conversational artificial intelligence and children's social-emotional development: a scoping review.
| Τίτλος: | Conversational artificial intelligence and children's social-emotional development: a scoping review. |
|---|---|
| Συγγραφείς: | Bhatt AH; Department of Neonatology, Pramukhswami Medical College and Shree Krishna Hospital, Bhaikaka University, Gokalnagar, Karamsad, 388325, Gujarat, India. adityabhatt47@gmail.com., Nimbalkar SM; Department of Pediatrics, All India Institute of Medical Sciences, Deoghar, Jharkhand, India., Nimbalkar AS; Department of Physiology, Pramukhswami Medical College, Bhaikaka University, Karamsad, Gujarat, India. |
| Πηγή: | European journal of pediatrics [Eur J Pediatr] 2026 Oct 08; Vol. 185 (11). Date of Electronic Publication: 2026 Oct 08. |
| Τύπος έκδοσης: | Journal Article; Scoping Review; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7603873 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1076 (Electronic) Linking ISSN: 03406199 NLM ISO Abbreviation: Eur J Pediatr Subsets: MEDLINE |
| Imprint Name(s): | Publication: Berlin : Springer Verlag Original Publication: Berlin, New York, Springer-Verlag. |
| Ιατρικοί όροι (MeSH): | Artificial Intelligence* , Child Development* , Communication* , Social Interaction*, Humans ; Child ; Adolescent ; Generative Artificial Intelligence ; Emotions |
| Περίληψη: | 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. Conclusion: Conversational 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. (© 2026. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.) |
| Competing Interests: | Declarations. Ethics approval: Not applicable. This review synthesized published and publicly available data and involved no new human participants. Consent to participate and consent for publication: Not applicable. Competing interests: The authors declare no competing interests. |
| References: | Kouroupa A, Laws KR, Irvine K, Mengoni SE, Baird A, Sharma S (2022) The use of social robots with children and young people on the autism spectrum: a systematic review and meta-analysis. PLoS ONE 17:e0269800. https://doi.org/10.1371/journal.pone.0269800. (PMID: 10.1371/journal.pone.0269800357318059216612) Jayathilake HM, Ma R (2026) Anthropomorphism in children’s interactions with LLM-based chatbots: a systematic review of drivers and outcomes. In: Proceedings of the 25th ACM interaction design and children conference. pp 520–536. https://doi.org/10.1145/3773077.3806126. Kory-Westlund JM, Breazeal C (2019) Exploring the effects of a social robot’s speech entrainment and backstory on young children’s emotion, rapport, relationship, and learning. Front Robot AI 6:54. https://doi.org/10.3389/frobt.2019.00054. (PMID: 10.3389/frobt.2019.00054335010697806080) Kory-Westlund JM, Breazeal C (2019) A long-term study of young children’s rapport, social emulation, and language learning with a peer-like robot playmate in preschool. Front Robot AI 6:81. https://doi.org/10.3389/frobt.2019.00081. (PMID: 10.3389/frobt.2019.00081335010967806079) Girouard-Hallam LN, Streble HM, Danovitch JH (2021) Children’s mental, social, and moral attributions toward a familiar digital voice assistant. Hum Behav Emerg Technol 3:1118–1131. https://doi.org/10.1002/hbe2.321. (PMID: 10.1002/hbe2.321) Girouard-Hallam LN, Danovitch JH (2022) Children’s trust in and learning from voice assistants. Dev Psychol 58:646–661. https://doi.org/10.1037/dev0001318. (PMID: 10.1037/dev000131835343713) Festerling J, Siraj I, Malmberg L-E (2024) Exploring children’s exposure to voice assistants and their ontological conceptualizations of life and technology. AI Soc 39:1275–1302. https://doi.org/10.1007/s00146-022-01555-3. (PMID: 10.1007/s00146-022-01555-3) Andries V, Robertson J (2023) “Alexa doesn’t have that many feelings”: children’s understanding of AI through interactions with smart speakers in their homes. Comput Educ Artif Intell 5:100176. https://doi.org/10.1016/j.caeai.2023.100176. (PMID: 10.1016/j.caeai.2023.100176) Hoffman A, Owen D, Calvert SL (2021) Parent reports of children’s parasocial relationships with conversational agents: trusted voices in children’s lives. Hum Behav Emerg Technol 3:606–617. https://doi.org/10.1002/hbe2.271. (PMID: 10.1002/hbe2.271) Van Brummelen J, Tian MC, Kelleher M, Nguyen NH (2022) Learning affects trust: design recommendations and concepts for teaching children—and nearly anyone—about conversational agents. arXiv. https://doi.org/10.48550/arXiv.2209.05063. Tang Y, Chen L, Chen Z, Chen W, Cai Y, Du Y, Yang F, Sun L (2024) EmoEden: applying generative artificial intelligence to emotional learning for children with high-functioning autism. In: Proceedings of the 2024 CHI conference on human factors in computing systems. https://doi.org/10.1145/3613904.3642899. Seo W, Yang C, Kim YH (2024) ChaCha: leveraging large language models to prompt children to share their emotions about personal events. In: Proceedings of the 2024 CHI conference on human factors in computing systems. https://doi.org/10.1145/3613904.3642152. Liu D, Zhou H, An P (2024) “When he feels cold, he goes to the seahorse”—blending generative AI into multimaterial storymaking for family expressive arts therapy. In: Proceedings of the 2024 CHI conference on human factors in computing systems. https://doi.org/10.1145/3613904.3642852. Mármol-Romero AM, García-Vega M, García-Cumbreras MA, Montejo-Ráez A (2025) An empathic GPT-based chatbot to talk about mental disorders with Spanish teenagers. Int J Hum Comput Interact 41:3957–3973. https://doi.org/10.1080/10447318.2024.2344355. (PMID: 10.1080/10447318.2024.2344355) Shi Y, Gong L, Lu Y, Liu L, Zhang C, Zhang S, Wang L, Zhou S (2025) “I need your help!”: facilitating psychological communication between left-behind children and their parents with an AI-powered sandbox. In: Proceedings of the 2025 CHI conference on human factors in computing systems. https://doi.org/10.1145/3706598.3713660. Yu Y, Sharma T, Hu M, Wang J, Wang Y (2025) Exploring parent–child perceptions on safety in generative AI: concerns, mitigation strategies, and design implications. In: 2025 IEEE symposium on security and privacy. pp 2735–2752. https://doi.org/10.1109/SP61157.2025.00090. Zhang S, Li J, Cagiltay B, Kirkorian H, Mutlu B, Fawaz K (2025) A qualitative exploration of parents and their children’s uses and gratifications of ChatGPT. Fam Relat 74:1056–1071. https://doi.org/10.1111/fare.13171. (PMID: 10.1111/fare.13171) Oh S, Zhang C, Girouard-Hallam L, Zhou Z, March H, Jayaramu S, Xu Y (2025) “Hey Curio, can you tell me more?”: children’s information-seeking and trust in AI. In: Proceedings of the 24th ACM interaction design and children conference. https://doi.org/10.1145/3713043.3727059. Oranç C, Assin E, Çimen AE, Tunalı MF (2025) Talk to Ziggy: combining fun, curiosity, and well-being in conversational AI for children. In: Proceedings of the 24th ACM interaction design and children conference. pp 775–778. https://doi.org/10.1145/3713043.3731481. Kim P, Chin JH, Xie Y, Brady N, Yeh T, Yang S (2026) Young children’s anthropomorphism of an AI-powered conversational agent: brain activation and the role of parent co-presence. Int J Hum Comput Interact:1–21. https://doi.org/10.1080/10447318.2026.2678532. Kim P, Xie Y, Yang S (2025) “I am here for you”: how relational conversational AI appeals to adolescents, especially those who are socially and emotionally vulnerable. arXiv. https://doi.org/10.48550/arXiv.2512.15117. Piombo MA, La Grutta S, Epifanio MS, Di Napoli G, Novara C (2025) Emotional intelligence and adolescents’ use of artificial intelligence: a parent–adolescent study. Behav Sci 15:1142. https://doi.org/10.3390/bs15081142. (PMID: 10.3390/bs150811424086749812383949) Vanhoffelen G, Vandenbosch L, Schreurs L (2025) Teens, tech, and talk: adolescents’ use of and emotional reactions to Snapchat’s My AI chatbot. Behav Sci 15:1037. https://doi.org/10.3390/bs15081037. (PMID: 10.3390/bs150810374086739412382817) Common Sense Media (2025) Talk, trust, and trade-offs: how and why teens use AI companions. Common Sense Media, San Francisco. https://www.commonsensemedia.org/research/talk-trust-and-trade-offs-how-and-why-teens-use-ai-companions . Accessed 3 Aug 2026. Ofcom (2025) Children and parents: media use and attitudes report 2025. Office of Communications, London. https://www.ofcom.org.uk/research-and-data/media-literacy-research/childrens/children-and-parents-media-use-and-attitudes-report-2025 . Accessed 3 Aug 2026. McClain C, Anderson M, Sidoti O, Bishop W (2026) How teens use and view AI. Pew Research Center, Washington, DC. https://www.pewresearch.org/internet/2026/02/24/how-teens-use-and-view-ai/ . Accessed 3 Aug 2026. Belghith Y, Mahdavi Goloujeh A, Magerko B, Long D, McKlin T, Roberts J (2024) Testing, socializing, exploring: characterizing middle schoolers’ approaches to and conceptions of ChatGPT. In: Proceedings of the 2024 CHI conference on human factors in computing systems. Vol. 276, pp 1–17. https://doi.org/10.1145/3613904.3642332. Quan S (2026) “Because it was on the computer!” Young children’s perceived humanness of conversational AI. In: Proceedings of the 25th ACM interaction design and children conference. pp 1245–1250. https://doi.org/10.1145/3773077.3812134. eSafety Commissioner (2026) Talking to machines: children’s experiences with AI assistants and companions. Australian Government, Canberra. https://www.esafety.gov.au/research/talking-to-machines-childrens-experiences-with-ai-assistants-and-companions . Accessed 3 Aug 2026. Scassellati B, Boccanfuso L, Huang CM, Mademtzi M, Qin M, Salomons N, Ventola P, Shic F (2018) Improving social skills in children with ASD using a long-term, in-home social robot. Sci Robot 3:eaat7544. https://doi.org/10.1126/scirobotics.aat7544. (PMID: 10.1126/scirobotics.aat75443314172410957097) Marino F, Chilà P, Sfrazzetto ST et al (2020) Outcomes of a robot-assisted social-emotional understanding intervention for young children with autism spectrum disorders. J Autism Dev Disord 50:1973–1987. https://doi.org/10.1007/s10803-019-03953-x. (PMID: 10.1007/s10803-019-03953-x30852783) Huskens B, Verschuur R, Gillesen J, Didden R, Barakova E (2013) Promoting question-asking in school-aged children with autism spectrum disorders: effectiveness of a robot intervention compared to a human-trainer intervention. Dev Neurorehabil 16:345–356. https://doi.org/10.3109/17518423.2012.739212. (PMID: 10.3109/17518423.2012.73921223586852) Yun SS, Choi J, Park SK, Bong GY, Yoo H (2017) Social skills training for children with autism spectrum disorder using a robotic behavioral intervention system. Autism Res 10:1306–1323. https://doi.org/10.1002/aur.1778. (PMID: 10.1002/aur.177828464438) Pop C, Simut R, Pintea S, Saldien J, Rusu AS, David DD, Vanderfaeillie J, Lefeber D, Vanderborght B (2013) Can the social robot Probo help children with autism to identify situation-based emotions? A series of single-case experiments. Int J Hum Robot 10:1350025. https://doi.org/10.1142/S0219843613500254. (PMID: 10.1142/S0219843613500254) So WC, Wong MKY, Lam CKY, Lam WY, Chui ATF, Lee TL, Ng HM, Chan CH, Fok DCW (2018) Using a social robot to teach gestural recognition and production in children with autism spectrum disorders. Disabil Rehabil Assist Technol 13:527–539. https://doi.org/10.1080/17483107.2017.1344886. (PMID: 10.1080/17483107.2017.134488628673117) Peters MDJ, Marnie C, Tricco AC, Pollock D, Munn Z, Alexander L, McInerney P, Godfrey CM, Khalil H (2020) Updated methodological guidance for the conduct of scoping reviews. JBI Evid Synth 18:2119–2126. https://doi.org/10.11124/JBIES-20-00167. (PMID: 10.11124/JBIES-20-0016733038124) Tricco AC, Lillie E, Zarin W et al (2018) PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med 169:467–473. https://doi.org/10.7326/M18-0850. (PMID: 10.7326/M18-085030178033) Rossi S, Santini SJ, Di Genova D, Maggi G, Verrotti A, Farello G, Romualdi R, Alisi A, Tozzi AE, Balsano C (2022) Using the social robot NAO for emotional support to children at a pediatric emergency department: randomized clinical trial. J Med Internet Res 24:e29656. https://doi.org/10.2196/29656. (PMID: 10.2196/29656348548148796042) |
| Contributed Indexing: | Keywords: Adolescent; Anthropomorphism; Artificial intelligence; Child development; Conversational agent; Social robot |
| Entry Date(s): | Date Created: 20261007 Date Completed: 20261008 Latest Revision: 20261007 |
| Update Code: | 20261008 |
| DOI: | 10.1007/s00431-026-07487-0 |
| PMID: | 42844463 |
| Βάση Δεδομένων: | MEDLINE |
| FullText | Links: – Type: other Url: https://resolver.ebsco.com:443/public/rma-ftfapi/ejs/direct?AccessToken=48C1AAD6943317C12BF2&Show=Object Text: Availability: 0 CustomLinks: – Url: https://dx.doi.org/doi:10.1007/s00431-026-07487-0 Name: EDS - Springer Nature Journals (s7799221) Category: fullText Text: View record at Springer |
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| Header | DbId: cmedm DbLabel: MEDLINE An: 42844463 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Conversational artificial intelligence and children's social-emotional development: a scoping review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bhatt+AH%22">Bhatt AH</searchLink>; Department of Neonatology, Pramukhswami Medical College and Shree Krishna Hospital, Bhaikaka University, Gokalnagar, Karamsad, 388325, Gujarat, India. adityabhatt47@gmail.com.<br /><searchLink fieldCode="AU" term="%22Nimbalkar+SM%22">Nimbalkar SM</searchLink>; Department of Pediatrics, All India Institute of Medical Sciences, Deoghar, Jharkhand, India.<br /><searchLink fieldCode="AU" term="%22Nimbalkar+AS%22">Nimbalkar AS</searchLink>; Department of Physiology, Pramukhswami Medical College, Bhaikaka University, Karamsad, Gujarat, India. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227603873%22">European journal of pediatrics</searchLink> [Eur J Pediatr] 2026 Oct 08; Vol. 185 (11). <i>Date of Electronic Publication: </i>2026 Oct 08. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Scoping Review; Review – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>7603873 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1076 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203406199%22">03406199 </searchLink><i>NLM ISO Abbreviation: </i>Eur J Pediatr <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Publication</i>: Berlin : Springer Verlag<br /><i>Original Publication</i>: Berlin, New York, Springer-Verlag. – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Artificial+Intelligence%22">Artificial Intelligence*</searchLink> <br /><searchLink fieldCode="MM" term="%22Child+Development%22">Child Development*</searchLink> <br /><searchLink fieldCode="MM" term="%22Communication%22">Communication*</searchLink> <br /><searchLink fieldCode="MM" term="%22Social+Interaction%22">Social Interaction*</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Child%22">Child</searchLink> ; <searchLink fieldCode="MH" term="%22Adolescent%22">Adolescent</searchLink> ; <searchLink fieldCode="MH" term="%22Generative+Artificial+Intelligence%22">Generative Artificial Intelligence</searchLink> ; <searchLink fieldCode="MH" term="%22Emotions%22">Emotions</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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.<br />Conclusion: Conversational 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.<br />What Is Known: • Children increasingly interact with socially responsive AI and may attribute knowledge, emotion, agency, or relational qualities to these systems.<br />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.<br /> (© 2026. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.) – Name: Abstract Label: Competing Interests Group: Ab Data: Declarations. Ethics approval: Not applicable. This review synthesized published and publicly available data and involved no new human participants. Consent to participate and consent for publication: Not applicable. Competing interests: The authors declare no competing interests. – Name: Ref Label: References Group: RefInfo Data: Kouroupa A, Laws KR, Irvine K, Mengoni SE, Baird A, Sharma S (2022) The use of social robots with children and young people on the autism spectrum: a systematic review and meta-analysis. PLoS ONE 17:e0269800. https://doi.org/10.1371/journal.pone.0269800. (PMID: <searchLink fieldCode="PM" term="%2210%2E1371%2Fjournal%2Epone%2E0269800357318059216612%22">10.1371/journal.pone.0269800357318059216612)</searchLink><br />Jayathilake HM, Ma R (2026) Anthropomorphism in children’s interactions with LLM-based chatbots: a systematic review of drivers and outcomes. In: Proceedings of the 25th ACM interaction design and children conference. pp 520–536. https://doi.org/10.1145/3773077.3806126.<br />Kory-Westlund JM, Breazeal C (2019) Exploring the effects of a social robot’s speech entrainment and backstory on young children’s emotion, rapport, relationship, and learning. Front Robot AI 6:54. https://doi.org/10.3389/frobt.2019.00054. (PMID: <searchLink fieldCode="PM" term="%2210%2E3389%2Ffrobt%2E2019%2E00054335010697806080%22">10.3389/frobt.2019.00054335010697806080)</searchLink><br />Kory-Westlund JM, Breazeal C (2019) A long-term study of young children’s rapport, social emulation, and language learning with a peer-like robot playmate in preschool. Front Robot AI 6:81. https://doi.org/10.3389/frobt.2019.00081. (PMID: <searchLink fieldCode="PM" term="%2210%2E3389%2Ffrobt%2E2019%2E00081335010967806079%22">10.3389/frobt.2019.00081335010967806079)</searchLink><br />Girouard-Hallam LN, Streble HM, Danovitch JH (2021) Children’s mental, social, and moral attributions toward a familiar digital voice assistant. Hum Behav Emerg Technol 3:1118–1131. https://doi.org/10.1002/hbe2.321. (PMID: <searchLink fieldCode="PM" term="%2210%2E1002%2Fhbe2%2E321%22">10.1002/hbe2.321)</searchLink><br />Girouard-Hallam LN, Danovitch JH (2022) Children’s trust in and learning from voice assistants. Dev Psychol 58:646–661. https://doi.org/10.1037/dev0001318. (PMID: <searchLink fieldCode="PM" term="%2210%2E1037%2Fdev000131835343713%22">10.1037/dev000131835343713)</searchLink><br />Festerling J, Siraj I, Malmberg L-E (2024) Exploring children’s exposure to voice assistants and their ontological conceptualizations of life and technology. AI Soc 39:1275–1302. https://doi.org/10.1007/s00146-022-01555-3. (PMID: <searchLink fieldCode="PM" term="%2210%2E1007%2Fs00146-022-01555-3%22">10.1007/s00146-022-01555-3)</searchLink><br />Andries V, Robertson J (2023) “Alexa doesn’t have that many feelings”: children’s understanding of AI through interactions with smart speakers in their homes. Comput Educ Artif Intell 5:100176. https://doi.org/10.1016/j.caeai.2023.100176. (PMID: <searchLink fieldCode="PM" term="%2210%2E1016%2Fj%2Ecaeai%2E2023%2E100176%22">10.1016/j.caeai.2023.100176)</searchLink><br />Hoffman A, Owen D, Calvert SL (2021) Parent reports of children’s parasocial relationships with conversational agents: trusted voices in children’s lives. Hum Behav Emerg Technol 3:606–617. https://doi.org/10.1002/hbe2.271. (PMID: <searchLink fieldCode="PM" term="%2210%2E1002%2Fhbe2%2E271%22">10.1002/hbe2.271)</searchLink><br />Van Brummelen J, Tian MC, Kelleher M, Nguyen NH (2022) Learning affects trust: design recommendations and concepts for teaching children—and nearly anyone—about conversational agents. arXiv. https://doi.org/10.48550/arXiv.2209.05063.<br />Tang Y, Chen L, Chen Z, Chen W, Cai Y, Du Y, Yang F, Sun L (2024) EmoEden: applying generative artificial intelligence to emotional learning for children with high-functioning autism. In: Proceedings of the 2024 CHI conference on human factors in computing systems. https://doi.org/10.1145/3613904.3642899.<br />Seo W, Yang C, Kim YH (2024) ChaCha: leveraging large language models to prompt children to share their emotions about personal events. In: Proceedings of the 2024 CHI conference on human factors in computing systems. https://doi.org/10.1145/3613904.3642152.<br />Liu D, Zhou H, An P (2024) “When he feels cold, he goes to the seahorse”—blending generative AI into multimaterial storymaking for family expressive arts therapy. In: Proceedings of the 2024 CHI conference on human factors in computing systems. https://doi.org/10.1145/3613904.3642852.<br />Mármol-Romero AM, García-Vega M, García-Cumbreras MA, Montejo-Ráez A (2025) An empathic GPT-based chatbot to talk about mental disorders with Spanish teenagers. Int J Hum Comput Interact 41:3957–3973. https://doi.org/10.1080/10447318.2024.2344355. 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(PMID: <searchLink fieldCode="PM" term="%2210%2E2196%2F29656348548148796042%22">10.2196/29656348548148796042)</searchLink> – Name: SubjectMinor Label: Contributed Indexing Group: Data: <i>Keywords: </i>Adolescent; Anthropomorphism; Artificial intelligence; Child development; Conversational agent; Social robot – Name: DateEntry Label: Entry Date(s) Group: Date Data: <i>Date Created: </i>20261007 <i>Date Completed: </i>20261008 <i>Latest Revision: </i>20261007 – Name: DateUpdate Label: Update Code Group: Date Data: 20261008 – Name: DOI Label: DOI Group: ID Data: 10.1007/s00431-026-07487-0 – Name: AN Label: PMID Group: ID Data: 42844463 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00431-026-07487-0 Languages: – Code: eng Text: English Subjects: – SubjectFull: Humans Type: general – SubjectFull: Child Type: general – SubjectFull: Adolescent Type: general – SubjectFull: Generative Artificial Intelligence Type: general – SubjectFull: Emotions Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Child Development Type: general – SubjectFull: Communication Type: general – SubjectFull: Social Interaction Type: general Titles: – TitleFull: Conversational artificial intelligence and children's social-emotional development: a scoping review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bhatt AH – PersonEntity: Name: NameFull: Nimbalkar SM – PersonEntity: Name: NameFull: Nimbalkar AS IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 10 Text: 2026 Oct 08 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1432-1076 Numbering: – Type: volume Value: 185 – Type: issue Value: 11 Titles: – TitleFull: European journal of pediatrics Type: main |
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