AI Research
Analyzing children's interactions with AI for mental health insights.


Data Collection
Gathering dialogue data for emotional and behavioral analysis.


Emotional Analysis
Utilizing NLP techniques for understanding children's emotional feedback.




Assessments
Regular psychological assessments to track children's mental health.
Interviews Conducted
Engaging with children, parents, and teachers for feedback.
Understanding Children's Minds
We leverage AI to enhance children's mental health through data collection, assessments, and emotional analysis.




Children need emotional companionship and support as they grow up, especially when parents are busy or difficult to communicate. Conversational AI can play an important role. AI can chat with children, play games, and tell stories to meet children's emotional communication needs. For example, when a child is bored or scared at home alone, he or she can chat with AI through voice interaction. AI will tell interesting stories and share jokes based on the child's interests to relieve the child's negative emotions. In addition, AI can also subtly convey positive psychological concepts in daily conversations and cultivate children's optimistic and confident mentality.


Conversational AI not only serves children, but also provides family education guidance for parents. AI can provide parents with detailed reports on their children's psychological state and behavioral habits by analyzing the conversation data between children and themselves, and give targeted family education suggestions. For example, when a child is found to have a procrastination problem, AI will suggest that parents and children work together to develop a clear time schedule and use a reward mechanism to encourage children to complete tasks on time. At the same time, AI can also provide parents with popular science knowledge of child psychology, helping parents better understand their children's psychological development characteristics and improve their family education capabilities.