Talking-Ally: What is the future of robot's utterance generation?

Hitomi Matsushita, Yohei Kurata, P. R. D. De Silva, M. Okada
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引用次数: 3

Abstract

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.
Talking-Ally:机器人语音生成的未来是什么?
在机器人话语生成机制的开发上做出重大贡献仍然是HRI领域面临的巨大挑战。一个人如何去贡献和预测机器人语音生成的未来?因此,我们的动机是通过利用寻址性和倾听性来提出机器人的话语生成方法。新型的Talking-Ally平台能够通过动态交互,利用听者的行为状态(目光信息)来说服用户(听者状态),从而产生一个话语(向寻址性)。此外,机器人还具有操纵情态、转向初始和委托行为的潜力,可以通过改变对话的方向和保持听者对对话的参与来促进对话的活跃度。我们的实验侧重于评估交互式用户如何使用话语生成方法(性能)以及机器人在动态交互中的通信说服力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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