Cross-modal coordination of expressive strength between voice and gesture for personified media
Tomoko Yonezawa, Noriko Suzuki, Shinji Abe, Kenji Mase, Kiyoshi Kogure
Abstract
Tomoko Yonezawa, Noriko Suzuki, Shinji Abe, Kenji Mase, Kiyoshi Kogure
Abstract
The aim of this paper is to clarify the relationship between the expressive strengths of gestures and voice for embodied and personified interfaces. We conduct perceptual tests using a puppet interface, while controlling singing-voice expressions, to empirically determine the naturalness and strength of various combinations of gesture and voice. The results show that (1) the strength of cross-modal perception is affected more by gestural expression than by the expressions of a singing voice, and (2) the appropriateness of cross-modal perception is affected by expressive combinations between singing voice and gestures in personified expressions. As a promising solution, we propose balancing a singing voice and gestural expressions by expanding and correcting the width and shape of the curve of expressive strength in the singing voice.
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The aim of this paper is to clarify the relationship between the expressive strengths of gestures and voice for embodied and personified interfaces. We conduct perceptual tests using a puppet interface, while controlling singing-voice expressions, to empirically determine the naturalness and strength of various combinations of gesture and voice. The results show that (1) the strength of cross-modal perception is affected more by gestural expression than by the expressions of a singing voice, and (2) the appropriateness of cross-modal perception is affected by expressive combinations between singing voice and gestures in personified expressions. As a promising solution, we propose balancing a singing voice and gestural expressions by expanding and correcting the width and shape of the curve of expressive strength in the singing voice.
Key concepts: Gesture, Naturalness, Singing, Embodied cognition, Perception, Computer science, Modal, Speech recognition