发表机构
University of Milano-Bicocca（米兰比可卡大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出人介导的AI指导框架，通过Ready Together系统探索，结合定性研究设计原型，试点显示其可助力家庭个性化应急准备。
AI 中文摘要
人工智能（AI）系统正越来越多地应用于各领域，以提供个性化信息、建议和决策支持。然而，在某些场景中，AI生成的信息可能不适合直接传递给最终接收者，反而需要由了解接收者需求、情绪状态和情境背景的人对信息进行解读、调整和传递。人机交互研究较少关注那些由更具知识的人作为中介，连接AI系统与经验不足或信息较少的接收者的场景。我们提出了人介导的AI指导框架，并通过Ready Together（一个AI支持的家庭应急准备系统）对其进行探索，在该系统中，父母作为中介，为孩子传递AI生成的内容。该系统旨在提供个性化指导，通过引导式活动和以家庭为中心的学习，帮助父母让应急准备工作更具互动性和可理解性。系统设计基于定性、面向设计的研究流程，包括半结构化访谈和共同设计活动。研究结果明确了家庭应急准备中的挑战，包括难以与孩子讨论应急事件、不确定如何提供恰当解释，以及倾向于互动式学习活动。这些发现为交互式原型的设计提供了依据，随后通过试点研究和启发式评估对原型进行了评估。参与者对个性化建议和实用活动反应积极。初步研究结果表明，人介导的AI指导可支持情境敏感的家庭应急准备，同时保留父母解读、调整和传递AI生成信息的责任。
英文摘要
Artificial intelligence (AI) systems are increasingly used across domains to provide personalized information, recommendations, and decision support. However, in some contexts, AI-generated information may not be suitable for direct delivery to the final recipient. Instead, it may need to be interpreted, adapted, and communicated by a human who understands the recipient's needs, emotional state, and situational context. Human-AI interaction research has given less attention to situations in which a more knowledgeable human acts as an intermediary between an AI system and a less experienced or less informed recipient. We introduce the human-mediated AI guidance framework and explore it through Ready Together, an AI-supported family emergency preparedness system in which parents mediate AI-generated content for their children. The system is designed to provide personalized guidance and support parents in making emergency preparedness more interactive and understandable through guided activities and family-centered learning. The system design was informed by a qualitative, design-oriented research process involving semi-structured interviews and co-design activities. Findings identified challenges in family emergency preparedness, including difficulty discussing emergencies with children, uncertainty about providing appropriate explanations, and a preference for interactive learning activities. These findings informed the design of an interactive prototype, subsequently evaluated through a pilot study and a heuristic evaluation. Participants responded positively to the personalized recommendations and practical activities. Preliminary findings suggest that human-mediated AI guidance may support context-sensitive family preparedness while preserving parents' responsibility for interpreting, adapting, and communicating AI-generated information.
CommentsAccepted for Italian Workshop on Artificial Intelligence for Human-Machine Interaction (AIxHMI 2026), October 6-9, 2026, Perugia, Italy
