"It's Not a Replacement:" Enabling Parent-Robot Collaboration to Support In-Home Learning Experiences of Young Children
Hui-Ru Ho, Edward Hubbard, Bilge Mutlu
TL;DR
This work investigates how a learning companion robot can augment parent-led in-home learning, introducing parent-robot collaboration (CAM: capability, availability, motivation) as a framework. Through a 10-dyad in-home study using Misty II during reading activities, the authors reveal how parents view robots as collaborators, delegate tasks, and balance educational objectives with concerns like privacy and content control. The findings yield design implications for adaptive interaction dynamics, mixed-initiative robot initiation, and parental governance to support flexible, family-centered in-home learning. Practically, the study provides a blueprint for integrating embodied robots into home learning by aligning robot capabilities with parental policies and situational needs while maintaining essential human-human interaction.
Abstract
Learning companion robots for young children are increasingly adopted in informal learning environments. Although parents play a pivotal role in their children's learning, very little is known about how parents prefer to incorporate robots into their children's learning activities. We developed prototype capabilities for a learning companion robot to deliver educational prompts and responses to parent-child pairs during reading sessions and conducted in-home user studies involving 10 families with children aged 3-5. Our data indicates that parents want to work with robots as collaborators to augment parental activities to foster children's learning, introducing the notion of parent-robot collaboration. Our findings offer an empirical understanding of the needs and challenges of parent-child interaction in informal learning scenarios and design opportunities for integrating a companion robot into these interactions. We offer insights into how robots might be designed to facilitate parent-robot collaboration, including parenting policies, collaboration patterns, and interaction paradigms.
