整合心流理论与自适应机器人角色：面向长期多人HRI中增强心流体验的动态机器人角色自适应概念模型
Integrating Flow Theory and Adaptive Robot Roles: A Conceptual Model of Dynamic Robot Role Adaptation for the Enhanced Flow Experience in Long-term Multi-person Human-Robot Interactions
AI总结：
本文提出一种整合心流体验原则与动态角色自适应的机器人行为概念模型，通过分层交互目标平衡活动挑战与用户技能，旨在提升长期多人HRI中的用户体验并推动自适应社交机器人发展。
摘要：
本文提出了一种新颖的概念模型，用于机器人在与人类长期交互中的行为自适应，将动态机器人角色自适应与心理学中的心流体验原则相整合。该概念化引入了一个以心流体验为基础的分层交互目标，作为机器人的总体自适应目标。该目标将认知与情感子目标交织在一起，并纳入了个体和群体层面的人类因素。动态角色自适应方法是模型的基石，突出了机器人流畅调整其支持角色（从领导者到跟随者）的能力，旨在维持活动挑战与用户技能之间的平衡，从而促进用户的最佳心流体验。此外，本研究深入探讨了所提概念化的局限性与潜在应用。模型特别关注多人HRI范式，这是HRI中既缺乏探索又具挑战性的维度。借此，我们期望扩展该概念化在HRI领域的适用性与相关性，为未来能够维持与人类长期交互的自适应社交机器人的发展做出贡献。
英文摘要：
In this paper, we introduce a novel conceptual model for a robot's behavioral adaptation in its long-term interaction with humans, integrating dynamic robot role adaptation with principles of flow experience from psychology. This conceptualization introduces a hierarchical interaction objective grounded in the flow experience, serving as the overarching adaptation goal for the robot. This objective intertwines both cognitive and affective sub-objectives and incorporates individual and group-level human factors. The dynamic role adaptation approach is a cornerstone of our model, highlighting the robot's ability to fluidly adapt its support roles - from leader to follower - with the aim of maintaining equilibrium between activity challenge and user skill, thereby fostering the user's optimal flow experiences. Moreover, this work delves into a comprehensive exploration of the limitations and potential applications of our proposed conceptualization. Our model places a particular emphasis on the multi-person HRI paradigm, a dimension of HRI that is both under-explored and challenging. In doing so, we aspire to extend the applicability and relevance of our conceptualization within the HRI field, contributing to the future development of adaptive social robots capable of sustaining long-term interactions with humans.
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。
