使用区块链和智能合约的远程定位对象的VR眼动追踪数据收集协议

Efe Bozkir, Shahram Eivazi, Mete Akgün, Enkelejda Kasneci
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引用次数: 2

摘要

虚拟现实环境中的眼动追踪数据收集通常在实验室环境中进行,这通常限制了参与者的数量或消耗至少几个月的研究时间。此外,在实验室环境下,由于被记录在一个不舒服的环境中,受试者可能会表现得不自然。在这项工作中,我们提出了一种概念验证眼动追踪数据收集协议及其实现,以从远程位置的受试者收集眼动追踪数据,特别是使用以太坊区块链和智能合约的虚拟现实。利用该方案,数据采集人员可以从大量具有异质社会人口特征的人类受试者中收集高质量的眼动追踪数据。数据的质量和数量对数据驱动的人机交互和人工智能中的各种任务都有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eye Tracking Data Collection Protocol for VR for Remotely Located Subjects using Blockchain and Smart Contracts
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 datadriven human-computer interaction and artificial intelligence.
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