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.
翻译:虚拟现实背景下的眼跟踪数据收集通常在实验室环境中进行,通常限制参与者人数或至少耗用几个月的研究时间;此外,在实验室环境中,由于在不舒适的环境中记录,对象可能不自然,因为在不舒适的环境中记录;在这项工作中,我们提议使用概念性概念性眼睛跟踪数据收集规程及其实施,从远程位置的主体收集眼跟踪数据,特别是利用Eceenum链和智能合同收集虚拟现实数据;在拟议的规程下,数据收集员可以从大量具有不同社会人口特征的人类主体收集高质量的眼跟踪数据;数据的质量和数量有助于数据驱动的人体计算机互动和人工智能方面的各项任务。