泰德文化:文化包容性的共同演讲,为体现的社会行为者创造姿态
1School of Computer Science and IT, FEIT, University of Melbourne, Melbourne, VIC, Australia.
Frontiers in robotics and AI
|April 23, 2025
概括
为虚拟代理产生文化相关的手势是接受的关键. 一个新的数据集和模型改进了跨文化共同语音的手势生成,增强了人机交互.
科学领域:
- 人与计算机的交互
- 人工智能的人工智能
- 机器人技术 机器人技术 机器人技术
背景情况:
- 为虚拟代理和机器人生成自然的共同语音手势对于用户接受至关重要.
- 文化和语言差异显著影响手势模式,但跨文化数据集很少.
- 现有的方法与多语言和文化特定的手势生成的细微差别作斗争.
研究的目的:
- 介绍TED文化数据集,用于跨文化共同发言的手势生成.
- 为文化和语言适应的手势提出和评估一个生成模型.
- 评估模型在人机交互中的实时性能和沟通效率.
主要方法:
- 从TED演讲中开发了TED文化数据集,用于跨文化手势分析.
- 提出了一个基于稳定扩散架构的生成模型.
- 在TED-Expressive和TED-Culture数据集上评估了该模型,并将其实施在NAO机器人上.
主要成果:
- 拟议的模型在手势自然性方面超越了最先进的基线.
- 该模型显示了印尼语,日语和意大利语之间的快速融合.
- 客观和主观评估证实了沟通效率的提高,用户对母语手势的批判性更强.
结论:
- 泰德文化数据集促进了对体内代理人的多语言手势生成的研究.
- 文化和语言适应对于有效的共同语音手势合成至关重要.
- 这些发现对设计更可接受和可用的社交机器人和虚拟代理具有重大意义.
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