Designing Robots for Families: In-Situ Prototyping for Contextual Reminders on Family Routines

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Authors: Michael F. Xu, Enhui Zhao, Yawen Zhang, Joseph E. Michaelis, Sarah Sebo, Bilge Mutlu
Cited by: 3
References: 36

Abstract

Robots are increasingly entering the daily lives of families, yet their successful integration into domestic life remains a challenge. We explore family routines as a critical entry point for understanding how robots might find a sustainable role in everyday family settings. Together with each of the ten families, we co-designed robot interactions and behaviors, and a plan for the robot to support their chosen routines, accounting for contextual factors such as timing, participants, locations, and the activities in the environment. We then designed, prototyped, and deployed a mobile social robot in a four-day, in-home user study. Families welcomed the robot’s reminders, with parents especially appreciating the offloading of some reminding tasks. At the same time, interviews revealed tensions around timing, authority, and family dynamics, highlighting the complexity of integrating robots into households beyond the immediate task of reminders. Based on these insights, we offer design implications for robot-facilitated contextual reminders and discuss broader considerations for designing robots for family settings.

Fields of Study & Subjects

Social Robot Interaction and HRI Modular Robots and Swarm Intelligence Teaching and Learning Programming

Publication details

Journal / source
Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction
Publisher
ACM
Pages
356–365
Publication date
10 March 2026