Magic XRoom：一个用于可控情绪诱发与识别的灵活VR平台
The Magic XRoom: A Flexible VR Platform for Controlled Emotion Elicitation and Recognition
AI总结：
本研究提出基于心流理论的VR平台Magic Xroom，通过动态调整任务难度匹配用户技能以实现可控情绪诱发，同时采集多模态信号与情绪真实标签，为情感计算研究提供高质量数据集收集平台。
摘要：
情感计算近年来备受关注，尤其是在人机交互系统领域，其中有效诱发与检测情绪对于提升用户体验至关重要。然而，若干问题正阻碍着该领域的发展。实际上，情绪的复杂性使得人们难以理解其触发因素并控制情绪的诱发过程。此外，有效的情绪识别需要分析多类传感器数据，例如面部表情和生理信号。这些因素叠加在一起，导致难以收集可用于研究（例如开发情绪识别算法）的高质量数据集。尽管存在这些挑战，虚拟现实（VR）仍有望成为解决方案。通过提供可控的沉浸式环境，VR能够复现真实世界的情绪体验，并便于追踪反映情绪状态的信号。但即便在VR环境中，控制情绪诱发仍然是一项具有挑战性的任务。本研究论文介绍了Magic Xroom，这是一个借助心流理论增强情绪诱发可控性的VR平台。该理论建立了个体技能水平、任务难度与感知情绪之间的映射关系。在Magic Xroom中，系统会持续评估用户的技能水平，并相应调整任务难度以诱发特定情绪。此外，平台通过传感器收集用户信号，并利用虚拟面板确定情绪状态的真实标签（ground truth），这使得Magic Xroom成为收集大规模数据集的理想平台。本文提供了详细的实现信息，重点介绍了Magic Xroom的主要特性，并展示了多个虚拟场景示例以说明其功能与能力。
英文摘要：
Affective computing has recently gained popularity, especially in the field of human-computer interaction systems, where effectively evoking and detecting emotions is of paramount importance to enhance users experience. However, several issues are hindering progress in the field. In fact, the complexity of emotions makes it difficult to understand their triggers and control their elicitation. Additionally, effective emotion recognition requires analyzing multiple sensor data, such as facial expressions and physiological signals. These factors combined make it hard to collect high-quality datasets that can be used for research purposes (e.g., development of emotion recognition algorithms). Despite these challenges, Virtual Reality (VR) holds promise as a solution. By providing a controlled and immersive environment, VR enables the replication of real-world emotional experiences and facilitates the tracking of signals indicative of emotional states. However, controlling emotion elicitation remains a challenging task also within VR. This research paper introduces the Magic Xroom, a VR platform designed to enhance control over emotion elicitation by leveraging the theory of flow. This theory establishes a mapping between an individuals skill levels, task difficulty, and perceived emotions. In the Magic Xroom, the users skill level is continuously assessed, and task difficulty is adjusted accordingly to evoke specific emotions. Furthermore, user signals are collected using sensors, and virtual panels are utilized to determine the ground truth emotional states, making the Magic Xroom an ideal platform for collecting extensive datasets. The paper provides detailed implementation information, highlights the main properties of the Magic Xroom, and presents examples of virtual scenarios to illustrate its abilities and capabilities.
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。
