VIVA Stimuli: A Web-Based Platform for Eye Tracking Stimuli

MCML Authors

Virmarie Maquiling

→ Group Enkelejda Kasneci
 Human-Centered Technologies for Learning

Yasmeen Abdrabou

Dr.

→ Group Enkelejda Kasneci
 Human-Centered Technologies for Learning

Enkelejda Kasneci

Prof. Dr.

Core PI

Human-Centered Technologies for Learning

Abstract

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 to be exported and shared, enabling identical stimulus replication across laboratories.

inproceedings OMB+26

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ETRA 2026

ACM Symposium on Eye Tracking Research and Applications. Marrakech, Morocco, Jun 01-04, 2026.

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Authors

S. Ozdel • V. Maquiling • K. Buldu • Y. Abdrabou • E. Kasneci

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Links

DOI GitHub

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Research Area

 B3 | Multimodal Perception