【24h】

Probabilistic Human-Computer Trust Handling

机译:概率人机信任处理

获取原文

摘要

Human-computer trust has shown to be a critical factor in influencing the complexity and frequency of interaction in technical systems. Particularly incomprehensible situations in human-computer interaction may lead to a reduced users trust in the system and by that influence the style of interaction. Analogous to human-human interaction, explaining these situations can help to remedy negative effects. In this paper we present our approach of augmenting task-oriented dialogs with selected explanation dialogs to foster the human-computer trust relationship in those kinds of situations. We have conducted a web-based study testing the effects of different goals of explanations on the components of human-computer trust. Subsequently, we show how these results can be used in our probabilistic trust handling architecture to augment pre-defined task-oriented dialogs.
机译:人机信任已被证明是影响技术系统中交互的复杂性和频率的关键因素。人机交互中特别难以理解的情况可能会导致用户对系统的信任度降低,从而影响交互方式。类似于人与人的互动,解释这些情况可以帮助纠正负面影响。在本文中,我们提出了使用选定的解释对话框来增强面向任务的对话框的方法,以在这种情况下建立人机信任关系。我们进行了一项基于Web的研究,测试了不同解释目标对人机信任组成部分的影响。随后,我们展示了如何在概率信任处理体系结构中使用这些结果来增强预定义的面向任务的对话框。

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