论文标题

与社交机器人和时间知识图的共生儿童情感支持

Symbiotic Child Emotional Support with Social Robots and Temporal Knowledge Graphs

论文作者

Saccardi, Isabella, Islakoglu, Duygu Sezen, Neerincx, Anouk, Vinella, Federica Lucia

论文摘要

在当前的青少年护理计划中,有需要的儿童(心理健康,家庭问题,学习障碍和自闭症)获得了青年和家庭专家的支持,作为学校或医院的一对一帮助。有时,社交机器人在与孩子一对一互动中的支持角色等环境中出现。在本文中,我们建议使用社交机器人知识图(kg)的实时情感支持(ES)的共生框架开发。通过从有关儿童的ES文献中增强特定领域的语料库(在8至12岁之间),并提供以场景为导向的环境,包括事件历史,我们建议开发一个实验性知识感知的ES框架。该框架都指导社会机器人向孩子提供ES陈述,并协助专家跟踪和解释随着时间的推移孩子的情绪状态和相关事件。

In current youth-care programs, children with needs (mental health, family issues, learning disabilities, and autism) receive support from youth and family experts as one-to-one assistance at schools or hospitals. Occasionally, social robots have featured in such settings as support roles in a one-to-one interaction with the child. In this paper, we suggest the development of a symbiotic framework for real-time Emotional Support (ES) with social robots Knowledge Graphs (KG). By augmenting a domain-specific corpus from the literature on ES for children (between the age of 8 and 12) and providing scenario-driven context including the history of events, we suggest developing an experimental knowledge-aware ES framework. The framework both guides the social robot in providing ES statements to the child and assists the expert in tracking and interpreting the child's emotional state and related events over time.

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