Yusuke Ohyama
Papers
2
Total Citations
11
H-Index
2
About
Yusuke Ohyama is a researcher in human-robot interaction, with a focus on how robot-generated speech influences human behavior and social dynamics. His work centers on the design of utterance generation mechanisms that enhance a robot’s persuasiveness and its ability to engage hearers in natural, responsive dialogue. Ohyama’s most cited paper, “Talking-Ally: The Influence of Robot Utterance Generation Mechanism on Hearer Behaviors” (2014, 8 citations), demonstrates how subtle shifts in a robot’s speech patterns can shape listener responses, laying groundwork for more adaptive social robots. His earlier study, “Talking-Ally: Intended Persuasiveness by Utilizing Hearership and Addressivity” (2012, 3 citations), explores how robots can strategically employ addressivity—the act of directly acknowledging a listener—to increase their persuasive impact. Though his citation counts are modest, Ohyama’s contributions are notable for their focus on the nuanced interplay between robot utterance design and human social cues, offering early insights into making machines more effective communicators. His work is particularly relevant for researchers developing conversational agents or assistive robots that must navigate complex social contexts.
Research Focus
Key Achievements
Top Papers
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