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：在眼动追踪研究中，随着研究人员开展多样化实验并寻求验证或复现结果，可重复性变得日益重要。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即便针对相同的眼动行为也可能产生不同的测量指标，但刺激层至今仍缺乏标准化。现有工具通常需要编程知识或依赖特定硬件厂商。我们推出了VIVA Stimuli——一个基于网页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、滑移、内容展示及问卷。平台支持任意眼动追踪技术，包括穿戴式和屏幕式视频眼动追踪仪、激光散斑血流成像传感器及眼电图设备。ArUco标记可实现带有场景摄像头的追踪器的同步，而无此功能的设备则通过WebSocket架构实现时间同步。可视化实验流程编辑器支持实验方案的导出与共享，从而确保不同实验室间刺激呈现的精确复现。