Robin Read
Papers
15
Total Citations
1,100
H-Index
12
About
Robin Read is a leading researcher in child-robot interaction and social robotics, whose work fundamentally explores how robots can build lasting, meaningful relationships with children. His major contributions span three interconnected areas: designing adaptive social behaviors for long-term human-robot bonds, developing non-linguistic vocalizations that convey emotion, and investigating the social influence robots exert on children. Read’s landmark paper "Multimodal Child-Robot Interaction: Building Social Bonds" (206 citations) established foundational frameworks for the ALIZ-E project, demonstrating how robots must coordinate timely, context-aware responses to sustain engagement. His highly cited study "Robot education peers in a situated primary school study" (201 citations) proved that personalization and adaptation of robot behavior significantly enhances child learning outcomes in real classroom settings. Notably, his provocative work "Children conform, adults resist" (190 citations) revealed that children exhibit normative social conformity to robot peer pressure—a finding with profound implications for robot deployment in educational and developmental contexts. Read has also pioneered the use of semantic-free utterances (SFUs), showing that non-linguistic vocalizations can effectively communicate emotion and intent across language barriers. His research continues to shape how we design robots that are not just functional tools, but socially intelligent companions capable of supporting child development.
Research Focus
Key Achievements
Top Papers
- 1Multimodal Child-Robot Interaction: Building Social Bonds206 citations · 2013
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- 4Child-Robot Interaction: Perspectives and Challenges159 citations · 2013
- 5Review of Semantic-Free Utterances in Social Human–Robot Interaction91 citations · 2015
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- 7People Interpret Robotic Non-linguistic Utterances Categorically54 citations · 2015
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- 9Interpreting non-linguistic utterances by robots21 citations · 2010
- 10People interpret robotic non-linguistic utterances categorically19 citations · 2013