Papers
10
Total Citations
87
H-Index
5
About
Heqiu Song is a social robotics researcher whose work sits at the intersection of human-robot interaction (HRI), educational technology, and robot personality design. Best known for their pioneering investigations into robot-assisted music education, Song has systematically explored how social robots can enhance children's motivation and performance during musical instrument practice. Their highly cited 2021 study (24 citations) demonstrated that carefully tailored robot roles — evaluative versus nonevaluative — meaningfully shape children's engagement at different learning stages, while earlier work grounding robot design in social facilitation theory (16 citations) established an important theoretical foundation for the field. Song's research extends beyond motivation strategies to encompass robot expressivity, with a notable contribution examining how nonverbal cues and movement convey robot personality in social contexts (18 citations). Their 2023 work on self-assessment strategies through robots further highlights a commitment to fostering self-regulated learning skills in young pianists. More recently, Song has broadened their scope to study autonomous delivery robots, investigating how speed, verbal responses to bullying, and group dynamics influence public comfort and acceptance. Collectively accumulating over 85 citations, Song's body of work offers both theoretical insight and practical design guidance for deploying social robots in real-world educational and public settings.
Research Focus
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