Hui-Ru Ho

University of Wisconsin–Madison

Papers

5

Total Citations

130

H-Index

5

About

Hui-Ru Ho is a human-computer interaction researcher specializing in child-robot interaction, educational robotics, and family-centered design. Her work sits at the intersection of early childhood learning, parental involvement, and social robotics, with a particular focus on how families integrate robots into home environments to support young children's development. Ho's most influential contribution, "Investigating Family Perceptions and Design Preferences for an In-Home Robot" (2020, 71 citations), established foundational insights into how families perceive and welcome social robots into domestic spaces — a previously underexplored area. Building on this, her subsequent research has progressively examined the critical role parents play alongside robots, challenging simplistic child-robot dyad models. Projects like *RoboMath* (2021) and her work on parent-child-robot math talk (2023) demonstrate her commitment to grounding robot design in real developmental needs, while her more recent *SET-PAiREd* framework (2025) addresses emerging concerns around AI-assisted educational tools and parental agency. Collectively accumulating over 130 citations, Ho's research has meaningfully shaped how designers and educators think about collaborative, family-inclusive approaches to learning companion robots — making her an important voice in the growing conversation around responsible AI and robotics in early education.

Research Focus

Key Achievements

5
H-Index
5
Papers
130
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Investigating family perceptions and design preferences for an in-home robot
71 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Wisconsin–Madison

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago