学习影响信任：教孩子和几乎任何人关于会话代理的设计建议和概念
Learning Affects Trust: Design Recommendations and Concepts for Teaching Children -- and Nearly Anyone -- about Conversational Agents
摘要：
研究表明，人与代理人之间的关系与人与人之间的关系形成的方式类似。由于儿童不具备与成人相同的批判性分析技能（例如，可能过度信任技术），这种关系的形成令人担忧。然而，很少有研究深入调查儿童的看法，会话代理人，更少调查如何教育可能会改变这些看法。我们提出了K-12研讨会与相关的对话AI概念，以鼓励更健康的理解和与代理的关系。通过对课程以及来自不同国家的儿童和家长的研究，我们发现参与者对代理人的看法-特别是他们的合作伙伴模型和信任-发生了变化。当参与者讨论对代理人信任的变化时，我们发现他们最常提到的是学习一些东西。例如，他们经常提到学习代理从哪里获得信息，代理如何使用这些信息以及代理如何编程。根据研究结果，我们提出了教学会话代理概念的建议，包括强调学生认为最具挑战性的概念，如培训，话轮转换和术语;补充代理开发活动与相关的学习活动;培养对代理的适当信任水平;并培养准确的代理合作伙伴模型。通过这种教学方法，学生可以学习更好地理解对话式人工智能以及在世界上拥有它意味着什么。
英文摘要：
Research has shown that human-agent relationships form in similar ways to human-human relationships. Since children do not have the same critical analysis skills as adults (and may over-trust technology, for example), this relationship-formation is concerning. Nonetheless, little research investigates children's perceptions of conversational agents in-depth, and even less investigates how education might change these perceptions. We present K-12 workshops with associated conversational AI concepts to encourage healthier understanding and relationships with agents. Through studies with the curriculum, and children and parents from various countries, we found participants' perceptions of agents -- specifically their partner models and trust -- changed. When participants discussed changes in trust of agents, we found they most often mentioned learning something. For example, they frequently mentioned learning where agents obtained information, what agents do with this information and how agents are programmed. Based on the results, we developed recommendations for teaching conversational agent concepts, including emphasizing the concepts students found most challenging, like training, turn-taking and terminology; supplementing agent development activities with related learning activities; fostering appropriate levels of trust towards agents; and fostering accurate partner models of agents. Through such pedagogy, students can learn to better understand conversational AI and what it means to have it in the world.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
