S.E.A.G.R：一个具有双层文化和情感调制的社交和情感感知问候机器人框架
S.E.A.G.R: A Socially and Emotionally Aware Greeting Robot Framework with Dual-Layer Cultural and Affective Modulation
浏览论文内容
中文总结 AI 辅助
研究为不同文化背景和情感状态用户的人机交互设计SEAGR问候机器人框架，引入双层调制，结合多种技术在统一架构内实现，用低成本原型验证概念，当前缺用户研究验证，这是未来主要工作方向。
中文摘要 AI 辅助
本文提出了SEAGR（社交和情感感知问候机器人），这是一个为涉及来自不同文化背景和不同情感状态用户的人机交互环境设计的机器人问候框架。问候行为对第一印象、用户舒适度和信任有很大影响，公共空间中的机器人必须能以社交上合适且自适应的方式互动。然而，许多现有系统仍依赖不考虑文化差异、情感背景或人际距离的静态问候程序。SEAGR引入了双层调制框架，文化身份决定合适的问候类型，情感线索影响问候的执行方式。该系统在统一的感知-思考-行动架构内结合了情境感知文化映射、基于情感的手势调制和近体调节。使用USB摄像头、超声波传感器、Arduino控制的舵机和基于笔记本电脑 Python 处理系统实现了一个低成本原型。本研究作为系统设计和概念验证呈现，通过用户研究进行实证验证是当前的限制，也是未来工作的主要方向。
英文摘要
This paper presents SEAGR (Socially and Emotionally Aware Greeting Robot), a robotic greeting framework designed for human-robot interaction environments involving users from diverse cultural backgrounds and different emotional states. Since greeting behaviour strongly influences first impressions, user comfort, and trust, robots operating in public spaces must be able to interact in a socially appropriate and adaptive manner. However, many existing systems still rely on static greeting routines that do not account for cultural variation, emotional context, or interpersonal distance. SEAGR introduces a dual-layer modulation framework in which cultural identity determines the appropriate greeting type, while affective cues influence how that greeting is executed. The system combines context-aware cultural mapping, emotion-based gesture modulation, and proxemic regulation within a unified Sense-Think-Act architecture. A low-cost prototype is implemented using a USB camera, ultrasonic sensor, Arduino-controlled servos, and a laptop-based Python processing system. This work is presented as a system design and proof-of-concept; empirical validation through user studies is explicitly acknowledged as a current limitation and is identified as the primary direction for future work.
发表机构
- University of Brighton（布莱顿大学）
- National Institute of Technology, Silchar（锡尔恰尔国立理工学院）
机构由 AI 辅助整理，请以论文原文为准。
