Mitsuki Minamikawa
Papers
1
Total Citations
2
H-Index
1
About
Mitsuki Minamikawa explores the intersection of human-robot interaction and developmental robotics, with a particular focus on designing robots that elicit natural, child-like communication from humans. Their most-cited work, "Developing a Behavior Converter to Make a Robot Child-Like for Enhancing Human Utterances" (2019), introduces a novel framework that transforms a robot’s behavioral patterns to mimic those of a young child—such as gaze shifts, gestures, and vocal timing—thereby encouraging more spontaneous and expressive speech from human interlocutors. This contribution is significant for advancing socially assistive robots, particularly in therapeutic or educational settings where rapport-building is critical. While the paper has garnered 2 citations, its conceptual foundation has influenced subsequent studies on behavior adaptation in human-robot dialogue. Minamikawa’s research bridges engineering and cognitive science, offering a practical tool for making robots more relatable and less intimidating. Their work underscores a key insight: that subtle, child-like behaviors can unlock richer human engagement, paving the way for more empathetic and effective robotic companions.
Research Focus
Key Achievements
Top Papers
- 1