Dread Pulse

*This is the game demo of my Master research project.

这是我的硕士期间研究项目所用的游戏demo。

Virtual Reality (VR) horror games offer unique opportunities for emotional immersion, but most games still rely on static difficulty settings and pre-set jumpscare, but overlook dynamic player behavior as a cue for adaptive experiences.
This study explores the relationship between in-game behaviors - such as head rotation, controller gripping, and vocal reactions - and the emotional states of players experiencing fear in a VR horror setting. A VR horror game, Dread Pulse, was developed on Meta Quest 3 to simulate horror scenarios while collecting detailed behavioral data. Participants' gameplay sessions were analyzed alongside self-assessed fear levels, revealing the relationship between behaviors and different levels of fear. Logistic regression analysis demonstrated that a small set of behavioral features (step-back, controller gripping, and head rotation) can effectively predict high fear states (AUC = 0.81). These findings offer valuable insights for future development of behavior-driven dynamic experience adjustment systems in immersive games.

虚拟现实 (VR) 恐怖游戏为情感沉浸提供了独特的机会，但大多数游戏仍然依赖静态难度设置和预设的跳脸杀，却忽略了玩家的动态行为作为自适应体验的线索。

本研究探讨了游戏内行为（例如头部旋转、握持控制器和声音反应）与玩家在 VR 恐怖环境中体验恐惧的情绪状态之间的关系。VR 恐怖游戏《Dread Pulse》基于 Meta Quest 3 开发，用于模拟恐怖场景并收集详细的行为数据。我对参与者的游戏过程以及自我评估的恐惧程度进行了分析，揭示了行为与不同恐惧程度之间的关系。逻辑回归分析表明，只需要一小部分行为特征（例如后退、握持控制器和头部旋转等）就可以有效预测高度恐惧状态（AUC = 0.81）。这些发现为未来开发沉浸式游戏中行为驱动的动态体验调节系统提供了宝贵的见解。