Reproducibility in eye-tracking research is increasingly important as researchers conduct diverse experiments and seek to validate or replicate findings. However, exact replication remains challenging due to differences in laboratory practices and experimental setups. Inconsistent stimulus presentation can yield divergent metrics from identical oculomotor behavior, yet the stimulus layer remains largely unstandardized. Existing tools often require programming expertise or depend on specific hardware vendors. We introduce VIVA Stimuli, a web-based platform for standardized eye-tracking stimulus presentation. It provides configurable task types, including fixation, smooth pursuit, cognitive load, blink, slippage, content display, and questionnaires within a unified environment. The platform supports any eye-tracking technology, including wearable and screen-based VOG trackers, LFI sensors, and EOG devices. ArUco markers enable synchronization for trackers with scene cameras, while a WebSocket architecture ensures temporal synchronization for those without. A visual experiment flow editor allows protocols to be exported and shared, enabling identical stimulus replication across laboratories.

翻译：眼动追踪研究的可重复性正日益重要，因为研究者们开展多样化的实验并寻求验证或复现结果。然而，由于实验室实践和实验设置的差异，精确复现仍面临挑战。不一致的刺激呈现方式可能导致相同的眼动行为产生不同的度量指标，而刺激层目前仍缺乏标准化。现有工具通常需要编程技能或依赖于特定硬件供应商。我们提出VIVA刺激——一个基于网络的标准化眼动追踪刺激呈现平台。该平台在统一环境中提供可配置的任务类型，包括注视、平滑追踪、认知负荷、眨眼、滑动、内容展示和问卷。该平台支持任何眼动追踪技术，包括可穿戴式和屏幕式视频眼动仪、激光散斑成像传感器和眼电图设备。采用ArUco标记实现带场景相机的追踪器同步，而WebSocket架构则确保无场景相机的追踪器实现时间同步。可视化实验流程编辑器允许协议被导出和共享，从而实现实验室间的相同刺激复制。