Shiwa
Papers
1
Total Citations
65
H-Index
1
About
Shiwa’s research lies at the fascinating intersection of human-robot interaction and social cognition, exploring how robots can use subtle cues—like gaze—to shape conversational dynamics. In their most-cited work, “Footing in human-robot conversations: How robots might shape participant roles using gaze cues” (2009, 65 citations), Shiwa demonstrates that robots can actively influence who speaks and how roles are distributed in group interactions, much like humans do. This foundational contribution reveals that even simple robotic gaze behaviors can alter participant footing, effectively guiding turn-taking and engagement. By bridging insights from linguistics and robotics, Shiwa’s work has informed the design of more socially aware machines, with implications for collaborative robots in education, healthcare, and team settings. Their research underscores the potential for robots to become intuitive partners, not just tools. With a growing citation footprint, Shiwa continues to shape how we think about non-verbal communication in human-robot teams, making their work essential reading for anyone interested in building machines that truly understand social nuance.
Research Focus
Key Achievements
Top Papers
- 1