説明
It is still an enormous challenge within the HRI community to make a significant contribution to the development of a robot's utterance generation mechanism. How does one actually go about contributing and predicting the future of robot utterance generation? Since, our motivation to propose a robot's utterance generation approach by utilizing both addressivity and hearership. Novel platform of Talking-Ally is capable of producing an utterance (toward addressivity) by utilizing the state of the hearer's behaviors (eye-gaze information) to persuade the user (states of hearership) through dynamic interaction. Moreover, the robot has the potential to manipulate modality, turn-initial, and entrust behaviors to increase the liveliness of conversations, which are facilitated by shifting the direction of the conversation and maintaining the hearer's engagement in the conversation. Our experiment focuses on evaluating how interactive users engage with an utterance generation approach (performance) and the persuasive power of robot's communication within dynamic interactions.
収録刊行物
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- 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)
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2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) 291-296, 2015-08
IEEE
