• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Affective Computing and Intelligent Interaction >Engagement: A Traceable Motivational Concept in Human-Robot Interaction
【24h】

Engagement: A Traceable Motivational Concept in Human-Robot Interaction

机译：订婚：人体机器人互动中可行的励志概念

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Engagement is essential to meaningful social interaction between humans. Understanding the mechanisms by which we detect engagement of other humans can help us understand how we can build robots that interact socially with humans. However, there is currently a lack of measurable engagement constructs on which to build an artificial system that can reliably support social interaction between humans and robots. This paper proposes a definition, based on motivation theories, and outlines a framework to explore the idea that engagement can be seen as specific behaviors and their attached magnitude or intensity. This is done by the use of data from multiple sources such as observer ratings, kinematic data, audio and outcomes of interactions. We use the domain of human-robot interaction in order to illustrate the application of this approach. The framework further suggests a method to gather and aggregate this data. If certain behaviors and their attached intensities co-occur with various levels of judged engagement, then engagement could be assessed by this framework consequently making it accessible to a robotic platform. This framework could improve the social capabilities of interactive agents by adding the ability to notice when and why an agent becomes disengaged, thereby providing the interactive agent with an ability to reengage him or her. We illustrate and propose validation of our framework with an example from robot-assisted therapy for children with autism spectrum disorder. The framework also represents a general approach that can be applied to other social interactive settings between humans and robots, such as interactions with elderly people.
机译：参与对于人类之间有意义的社会互动至关重要。了解我们检测到其他人的参与的机制可以帮助我们了解我们如何建立与人类交互的机器人。然而，目前缺乏可衡量的参与结构，可以构建可以可靠地支持人类和机器人之间的社会互动的人为制度。本文提出了一种基于动机理论的定义，并概述了一个框架来探索参与可以被视为特定行为及其附加的幅度或强度的想法。这是通过使用来自多个来源的数据（例如观察者评级，运动数据，音频和交互结果）来完成的。我们使用人机机器人的域来说明这种方法的应用。该框架还建议收集和聚合此数据的方法。如果某些行为及其附加强度与各种判断的接合一起发生，则可以通过该框架评估参与，从而使得机器人平台可以访问。该框架可以通过添加代理人何时以及为什么要脱离的能力来提高交互式代理的社会能力，从而为互动者提供重新成员或她的能力。我们说明了我们的框架验证了我们的框架，了解自闭症谱系障碍儿童的机器人辅助治疗。该框架还代表了一种可以应用于人类和机器人之间的其他社会互动设置的一般方法，例如与老年人的互动。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号