Abstract
This paper presents the design and development of an innovative interactive robotic system to enhance audience engagement using character-like personas. Built upon the foundations of persona-driven dialog agents, this work extends the agent application to the physical realm, employing robots to provide a more immersive and interactive experience. The proposed system, named the Masquerading Animated Social Kinematics (MASK), leverages an anthropomorphic robot which interacts with guests using non-verbal interactions, including facial expressions and gestures. A behavior generation system based upon a finite-state machine structure effectively conditions robotic behavior to convey distinct personas. The MASK framework integrates a perception engine, a behavior selection engine, and a comprehensive action library to enable real-time, dynamic interactions with minimal human intervention in behavior design. Throughout the user subject studies, we examined whether the users could recognize the intended character in film-character-based persona conditions. We conclude by discussing the role of personas in interactive agents and the factors to consider for creating an engaging user experience.
Abstract (translated)
本文介绍了使用类似角色的人机交互系统来增强观众参与度的创新设计和发展。该系统基于人物驱动的对话代理商，并将机器人应用于物理领域，使用机器人提供更加沉浸和交互式的体验。所提出的系统名为Masquerading Animated Social Kinematics（MASK），它依赖于一个人形机器人，通过非语言交互与客人互动，包括面部表情和手势。基于有限状态机结构的behavior generation系统有效地将机器人行为约束为传达不同人格。MASK框架集成了感知引擎、行为选择引擎和综合动作库，以实现无需太多人类干预的行为设计，实现实时、动态交互。在整个用户研究过程中，我们研究了用户是否能在基于电影角色的人格条件下识别出意图的角色。最后，我们讨论了人物在交互式代理中的作用以及应考虑的因素，以创建具有吸引力的用户体验。
URL
https://arxiv.org/abs/2403.10041
