Suppr超能文献

将森冈隆的“恐怖谷”理论应用于具有情感表达的人工对话与自然语言处理。

Relating Mori's Uncanny Valley in generating conversations with artificial affective communication and natural language processing.

机构信息

Graduate School of Health Sciences, Tokushima University Graduate School, Tokushima, Japan.

Kochi University Graduate School of Integrated and Sciences, Kochi, Japan.

出版信息

Nurs Philos. 2021 Apr;22(2):e12322. doi: 10.1111/nup.12322. Epub 2020 Aug 16.

Abstract

Human beings express affinity (Shinwa-kan in Japanese language) in communicating transactive engagements among healthcare providers, patients and healthcare robots. The appearance of healthcare robots and their language capabilities often feature characteristic and appropriate compassionate dialogical functions in human-robot interactions. Elements of healthcare robot configurations comprising its physiognomy and communication properties are founded on the positivist philosophical perspective of being the summation of composite parts, thereby mimicking human persons. This article reviews Mori's theory of the Uncanny Valley and its consequent debates, and examines "Uncanny" relations with generating healthcare robot conversational content with artificial affective communication (AAC) using natural language processing. With healthcare robots provoking influential physical composition and sensory expressions, the relations in human-healthcare robot transactive engagements are argued as supportive of the design and development in natural language processing. This implies that maintaining human-healthcare robot interaction and assessing the eeriness situations explained in the Uncanny Valley theory are crucial positions for healthcare robot functioning as a valuable commodity in health care. As such, physical features, language capabilities and mobility of healthcare robots establish the primacy of the AAC with natural language processing as integral to healthcare robot-human healthcare practice.

摘要

人类在医疗保健提供者、患者和医疗保健机器人之间的交流互动中表达亲和力(日语中的 Shinwa-kan)。医疗保健机器人的出现及其语言能力通常在人机交互中具有特征鲜明且适当的富有同情心的对话功能。医疗保健机器人配置的要素包括其外貌和沟通特性,其基础是实证主义哲学观点,即机器人是复合部件的总和,从而模仿人类。本文回顾了森冈的“恐怖谷”理论及其相关争论,并探讨了使用自然语言处理生成具有人工情感交流(AAC)的医疗保健机器人会话内容时的“恐怖谷”关系。随着医疗保健机器人引起有影响力的物理构成和感官表达,人类与医疗保健机器人互动的关系被认为支持自然语言处理的设计和开发。这意味着保持人机互动并评估“恐怖谷”理论中解释的怪异情况对于医疗保健机器人作为医疗保健领域有价值的商品发挥作用至关重要。因此,医疗保健机器人的物理特征、语言能力和移动性确立了自然语言处理中 AAC 的首要地位,这是医疗保健机器人与人类医疗保健实践相结合的关键要素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验