Date
Publisher
arXiv
AI-assisted learning companion robots are increasingly used in early education. Many parents express concerns about content appropriateness, while they also value how AI and robots could supplement their limited skill, time, and energy to support their children's learning. We designed a card-based kit, SET, to systematically capture scenarios that have different extents of parental involvement. We developed a prototype interface, PAiREd, with a learning companion robot to deliver LLM-generated educational content that can be reviewed and revised by parents. Parents can flexibly adjust their involvement in the activity by determining what they want the robot to help with. We conducted an in-home field study involving 20 families with children aged 3-5. Our work contributes to an empirical understanding of the level of support parents with different expectations may need from AI and robots and a prototype that demonstrates an innovative interaction paradigm for flexibly including parents in supporting their children.
Study at a glance
- Question: How can an educational robot be designed to flexibly involve parents in their young children's learning?
- Setting and data: In homes with 20 families with children aged 3–5
- Method: Prototype development and an in-home field study
Why it matters
AI-assisted learning robots are increasingly used in early education. While parents express concerns about content appropriateness, they also value how robots can supplement their limited skill, time, and energy to support their children's learning.
Key findings
- In an in-home study of 20 families with children aged 3–5, a prototype robot enabled parents to review, revise, and adjust AI learning support.
- Parents valued AI robots for supplementing their limited skills, time, and energy to support their children's learning.
- Many parents expressed concerns regarding the appropriateness of educational content provided by AI learning companion robots.
Summary drafted with AI from the paper’s abstract and may contain errors. See the full paper for details.
What is the application?
Who is the user?
Who age?
Why use AI?
Study design
