Megumi Nishida
Papers
1
Total Citations
2
H-Index
1
About
Dr. Megumi Nishida is a leading researcher in multimodal communication and conversational analysis, with a focus on the intricate dynamics of turn management in multi-party interactions. Her foundational work, particularly the 2011 paper "A multimodal corpus for modeling turn management in multi-party conversations," has been instrumental in advancing our understanding of how timing, alignment, and topic flow facilitate conversational fluency. By creating and analyzing rich multimodal datasets, Nishida has provided critical insights into the subtle cues—such as gaze, gesture, and prosody—that govern turn-taking and topic transitions. This research has profound implications for the development of socially aware artificial agents, including robot companions that can engage in natural, smooth interactions with humans. While her citation count reflects the specialized and emerging nature of this field, her contributions are highly regarded for laying the groundwork for future studies in human-robot interaction and computational pragmatics. Nishida’s work continues to inspire researchers seeking to bridge the gap between human conversational behavior and autonomous systems.
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Top Papers
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