ロボット支援の家庭活動による家族と学校の連携強化
Supporting Family-School Partnerships with Robot-Facilitated Home-Based Activities
家庭と学校の連携を支援するため、家庭内で使えるソーシャルロボットを設計・開発し、10家族を対象に1週間の実証実験を行った。ロボットが学校の話題を家族と共有する手助けをし、その利用方法や課題を明らかにした。
詳しい要約
1. どんなもの?
2. 先行研究と比べてどこがすごい?
3. 技術・手法の肝は?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Michael F Xu, Qiyao Yang, Heather Kirkorian, Bilge Mutlu
分類: cs.RO, cs.HC
原文アブストラクト
Family-school partnerships (FSP) are critical to children's development, yet families often face barriers such as time constraints, fragmented communication, and limited opportunities for meaningful engagement. As a step toward facilitating broader family-school partnerships, we explore a novel approach that integrates a social robot into family settings, specifically supporting home-based activities. Through interviews and co-design sessions, we designed and developed a robotic system informed by both parents and children, that supported, among other interactions, family communication about school topics. We evaluated the robot in a week-long, in-home study with 10 families. Our findings show how families integrated the robot into daily life, how parental facilitation styles shaped use, and how families perceived both the helpfulness and challenges of the robot. We contribute empirical insights, a modular system, and design implications for family- and child-robot interactions. We discuss ethical and privacy considerations, and broaden the design space for technologies supporting family-school partnerships.
