Taiga Mori

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About

Taiga Mori is a researcher focused on the nuanced dynamics of human-robot interaction, particularly the role of non-verbal communication. Their key research areas include dialogue breakdown detection, gesture analysis, and comparative studies of body behaviors in human-human versus human-robot settings. In their notable 2021 work, "On The Use of Gestures in Dialogue Breakdown Detection," Mori demonstrated how body, hand, and head gestures—annotated from 30 real human-robot conversations—can serve as predictive features for identifying conversational failures. By analyzing gesture duration within critical 3000-millisecond intervals, they provided a novel, data-driven approach to improving robotic responsiveness. Their 2020 study, "Analysis of Body Behaviours in Human-Human and Human-Robot Interactions," further explored these behavioral differences, laying groundwork for more natural and adaptive robotic systems. Though early in their career, with each paper garnering 3 citations, Mori’s work is foundational for researchers aiming to enhance dialogue systems through embodied cues. Their contributions underscore a growing recognition that successful human-robot interaction hinges not just on words, but on the silent language of movement.