AI-based chatbot micro-intervention for parents: Meaningful engagement, learning, and efficacy.

Area of Science:

• Child and Adolescent Psychology
• Digital Health Interventions
• Human-Computer Interaction

Background:

• Rising mental health concerns in children necessitate effective parenting support.
• Digital parenting programs show promise, but chatbot efficacy for skill-building is under-researched.
• Parental busyness and engagement factors are crucial for digital intervention success.

Purpose of the Study:

• To evaluate parental learning from a parenting chatbot micro-intervention.
• To assess the overall efficacy of a chatbot intervention for enhancing parenting skills.
• To explore user characteristics influencing engagement with digital parenting tools.

Main Methods:

• A randomized control trial with 170 parents of children aged 2-11.
• An experimental group received a 15-minute chatbot intervention on positive attention and praise.
• A control group was placed on a waiting list for comparison.

Main Results:

• Parents demonstrated learning of effective praising skills through chatbot interaction.
• No significant differences were found between groups in praising knowledge, perceived behavior change, or self-efficacy.
• Scores generally moved in the expected direction, indicating potential but not statistically significant effects.

Conclusions:

• Brief, self-guided digital interventions like chatbots can facilitate parental learning.
• A higher dosage of intervention may be required for measurable therapeutic changes in parents.
• Further research is needed to optimize chatbot design for sustained parenting skill development.