Eye Tracking Data Collection Protocol for VR for Remotely Located Subjects using Blockchain and Smart Contracts
This addresses the challenge of scalable and naturalistic data collection for VR eye tracking, which is incremental as it applies existing blockchain technology to a specific domain.
The authors tackled the problem of limited and unnatural eye tracking data collection in VR labs by proposing a protocol using Ethereum blockchain and smart contracts to collect data from remotely located subjects, enabling access to high-quality data from a large, diverse participant pool.
Eye tracking data collection in the virtual reality context is typically carried out in laboratory settings, which usually limits the number of participants or consumes at least several months of research time. In addition, under laboratory settings, subjects may not behave naturally due to being recorded in an uncomfortable environment. In this work, we propose a proof-of-concept eye tracking data collection protocol and its implementation to collect eye tracking data from remotely located subjects, particularly for virtual reality using Ethereum blockchain and smart contracts. With the proposed protocol, data collectors can collect high quality eye tracking data from a large number of human subjects with heterogeneous socio-demographic characteristics. The quality and the amount of data can be helpful for various tasks in data-driven human-computer interaction and artificial intelligence.