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Designing Long-term Parent-child-robot Triadic Interaction at Home through Lived Technology Experiences and Interviews

Huili Chen, Anastasia K. Ostrowski, Soo Jung Jang, Cynthia Breazeal, Hae Won Park

发表年份
2022
引用次数
23

摘要

Social agents have been mostly designed to engage with children one-on-one as tutors or learning peers. Besides this child-robot dyadic interaction paradigm, they have the potential to empower parents to more actively interact with their children. Robot-assisted parent-child interaction could be a sustainable future approach for promoting children’s in-home learning. Motivated by this new design direction, this work takes an iterative design approach to explore how we design triadic interactions through "lived technology experiences" and interviews. For 3-6 weeks, we deployed and remotely teleoperated a social robot in the homes of 12 families with 3-7-year-old children to engage in a triadic story reading activity with both parent and child for six 25-min sessions. Before and after the deployment, we conducted a semi-structured interview with participants on their triadic interaction experience and desired robot design features. The results of our qualitative analysis show that social robots can improve various aspects of parent-child interaction. We propose design guidelines for robot-assisted parent-child interactions at home, the considerations of participants’ values around technology design, and promotion of their long-term lived technology experiences as critical sources for design knowledge.

关键词

RobotSocial relationPsychologyHuman–computer interactionInteraction designSocial robotDevelopmental psychologyApplied psychologyComputer scienceSocial psychology

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