Parenting Journal · Volume 3 · Parenting and AI

Collaboration

Parent–child co-use, participatory design and connections between families, learning and care.

20 articles · Page 1 of 1

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61

Vol. 3 · Issue 1 · Collaboration · Two proof-of-concept feasibility/acceptability pilots

Feasibility and acceptability of the MentiParent AI chatbot for training parental reflective functioning

Could a simulated conversation help me consider my child’s perspective before a difficult discussion?

Adult users; simulated child/adolescent scenariosCC BY 4.0Generative AI/LLM parenting simulationDirect parenting evidence
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62

Vol. 3 · Issue 1 · Collaboration · Prospective single-arm feasibility study

Feasibility of a Large Language Model Chatbot to Support Parental Understanding in the PICU

How could an AI explanation help me ask my child’s care team clearer questions?

Parents of PICU patients; pediatric ages varyCC BY 4.0Generative AI/LLM; GPT-4o with patient-specific EHR contextDirect parenting evidence
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63

Vol. 3 · Issue 1 · Collaboration · Mixed-methods app development and one-month feasibility evaluation

Development, feasibility testing and evaluation of a family-oriented mobile application to promote healthy lifestyle in infants and parents during early life: a mixed methods study

What would make a family health app useful to both us and our clinicians?

Parents of infants/early-life childrenCC BY 4.0Generative AI/LLM; clinically curated chatbot within appDirect parenting evidence
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64

Vol. 3 · Issue 1 · Collaboration · Nonrandomized voice-assistant feasibility study

A non-randomized feasibility study of a voice assistant for parents to support their children’s mental health

Would speaking to a voice assistant make parenting practice easier to fit into daily life?

Primary-school children; mean ages about 9 yearsCC BY (version not stated)Voice assistant; narrow speech/NLP, not GenAIDirect parenting evidence
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65

Vol. 3 · Issue 1 · Collaboration · Quantitative descriptive secondary analysis of real-world hybrid program

Engagement, Satisfaction, and Therapeutic Alliance With an AI Conversational Agent for Parents: Quantitative Descriptive Study

How can a chatbot reinforce our work with a parenting professional between sessions?

Children 3–14 years; adult caregiversCC BY 4.0Generative AI conversational agent; RAG/human-supervised hybrid PMTDirect parenting evidence
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66

Vol. 3 · Issue 1 · Collaboration · Qualitative family co-learning workshop

Our business, not the robot’s: family conversations about privacy with social robots in the home

How can our family decide together what a home robot should collect and share?

Analyzed children approximately 7–11 yearsCC BY (version not stated)Social-robot family design workshop; hypothetical home useDirect parenting evidence
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67

Vol. 3 · Issue 1 · Collaboration · Mixed-methods family workshop and questionnaire study

Exploring the Acceptance and Opportunities of Using a Specific Generative AI Chatbot to Assist Parents in Managing Pediatric Rheumatological Chronic Health Conditions: Mixed Methods Study

What would my child and I each need from a trustworthy health chatbot?

Children/young people aged 8+ invited for questionnaire; parents/carersCC BY 4.0Generative AI/LLM; predevelopment co-design studyDirect parenting evidence
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68

Vol. 3 · Issue 1 · Collaboration · Home robot-service design and short field test

Child-centered home service design for a family robot companion

Could a robot activity bring us into conversation rather than draw my child away?

5–7 yearsCC BY 4.0Home social robot; designed activity/dialogue serviceDirect parenting evidence
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69

Vol. 3 · Issue 1 · Collaboration · Community-engaged qualitative focus-group co-design

Designing Rosie the Chatbot with and for Pregnant and New Mothers of Color: a Community-Engaged Study Leveraging Artificial Intelligence and Prevention Science to Improve Maternal and Child Health Outcomes

How can parents help design an AI tool that understands their community’s needs?

Pregnancy and infant age under 6 months; mothers 17–39CC BY 4.0Generative AI/LLM; retrieval-grounded LLaMA chatbotDirect parenting evidence
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70

Vol. 3 · Issue 1 · Collaboration · Qualitative analysis of real-world hybrid parenting program

Real-World Data From a Group Parent Management Training Program Enhanced Using Artificial Intelligence: Qualitative Study

What help should come from a chatbot and what should stay with our human therapist?

Children 3–14 years; caregivers 34–65CC BY 4.0Generative AI/LLM; RAG and therapist-supervised PMTDirect parenting evidence
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71

Vol. 3 · Issue 1 · Collaboration · Conversational-agent development and observational engagement analysis

A Conversational Agent Using Natural Language Processing for Postpartum Care for New Mothers: Development and Engagement Analysis

How could automated support help me know when to contact my postpartum care team?

First six weeks postpartum and newborn careCC BY 4.0Narrow NLP conversational agent; curated responses, not LLMDirect parenting evidence
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72

Vol. 3 · Issue 1 · Collaboration · Qualitative focus groups and multidisciplinary co-creation

How to Implement Robots in Interventions for Children with Autism? A Co-creation Study Involving People with Autism, Parents and Professionals

How can families and autistic people shape a robot intervention before it reaches children?

Targets children with autism; adult co-design participantsCC BY 4.0Semi-autonomous social robot; KASPAR co-designFamily implications
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73

Vol. 3 · Issue 1 · Collaboration · Collaborative intervention development and exploratory clinical evaluation

Collaborative Research Project: Developing and Testing a Robot-Assisted Intervention for Children With Autism

How would our team know whether a robot supports human connection rather than only attracting attention?

Enrollment 60–122 months; developmental ages 18–30 monthsCC BY (version not stated)Social/sensory robot; human remote controlFamily implications
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74

Vol. 3 · Issue 1 · Collaboration · Participatory healthcare AI engagement workshop

Engaging children and young people on the potential role of artificial intelligence in medicine

How can my child have a real voice in technology decisions affecting their care?

10–21 years; mixed child/adolescent/young-adult groupCC BY 4.0Mixed healthcare AI scenarios; participatory designFamily implications
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75

Vol. 3 · Issue 1 · Collaboration · Exploratory prospective implementation with retrospective perception survey

Impact of a Social Robot on Hospitalized Children, Caregivers, and Health Care Staff: Exploratory Observational Study

Would a companion robot make hospital play and communication easier for my child and our care team?

Median child age 5 years, IQR 3–8CC BY 4.0Companion social robot; nonverbal autonomous interactionDirect parenting evidence
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76

Vol. 3 · Issue 1 · Collaboration · Systematic review of feasibility and acceptability

The Feasibility and Acceptability of Using a Digital Conversational Agent (Chatbot) for Delivering Parenting Interventions: Systematic Review

What evidence should I ask for before relying on a parenting chatbot?

Parents of children 0–18 yearsCC BY 4.0Mixed AI and rule-based parenting chatbot systematic reviewDirect parenting evidence
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77

Vol. 3 · Issue 1 · Collaboration · Systematic review with study-quality appraisal

Evidence and Future Directions for Pediatric Health Care Chatbots: Systematic Review

When should I use a health chatbot with my child, and when should their privacy take priority?

Pediatric users under 19 and caregiversCC BY 4.0Mixed AI/rule-based pediatric chatbot systematic reviewFamily implications
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78

Vol. 3 · Issue 1 · Collaboration · Open-label three-arm cluster-randomized controlled trial

Digital support systems to improve child development in Peru: A cluster-randomized controlled open-label trial

Can digital suggestions help us spend more purposeful time playing and learning together?

Infants 3–9 months at enrollment; development assessed around 2.5 yearsCC BY 4.0AI-supported recommendation/conversational system; not established as GenAIDirect parenting evidence
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79

Vol. 3 · Issue 1 · Collaboration · Cross-sectional online parent survey

Generative AI use and social disparities in pediatric rehabilitation: a cross-sectional study of ChatGPT use among parents of children with speech and language disorders in Türkiye

How can I bring AI-generated rehabilitation questions into a productive discussion with my child’s therapist?

Parents aged 18+; children with speech/language disordersCC BY 4.0Generative AI/LLM; parent ChatGPT-use surveyDirect parenting evidence
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80

Vol. 3 · Issue 1 · Collaboration · Exploratory one-day interdisciplinary hackathon report

Enhancing Parenting Using AI: Exploratory Hackathon

What should clinicians, parents and developers test before an AI parenting feature is offered to families?

Targets parents of children with conduct difficulties; no child-user trialCC BY 4.0AI/GenAI parenting feature prototypes; developer hackathonFamily implications
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Study designs and age labels describe the source. Read each study’s findings and limitations before applying them to your family.