  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.
