VIVA Stimuli: A Web-Based Platform for Eye Tracking Stimuli
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arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866918470548979712 |
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| author | Ozdel, Suleyman Maquiling, Virmarie Buldu, Kadir Burak Abdrabou, Yasmeen Kasneci, Enkelejda |
| author_facet | Ozdel, Suleyman Maquiling, Virmarie Buldu, Kadir Burak Abdrabou, Yasmeen Kasneci, Enkelejda |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_19397 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | VIVA Stimuli: A Web-Based Platform for Eye Tracking Stimuli Ozdel, Suleyman Maquiling, Virmarie Buldu, Kadir Burak Abdrabou, Yasmeen Kasneci, Enkelejda Human-Computer Interaction 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. |
| title | VIVA Stimuli: A Web-Based Platform for Eye Tracking Stimuli |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.19397 |