BEACH-Gaze:在人工智能和先进数据科学时代支持描述性和预测性凝视分析
Bo Fu1, Kayla Chu1, Angelo Ryan Soriano1
1Computer Engineering and Computer Science, California State University Long Beach, Long Beach, CA 90840, USA.
Journal of eye movement research
|November 24, 2025
概括
本研究介绍了Beach-Gaze,这是一个开源软件平台,为研究人员简化眼睛跟踪数据分析. 它可以实现先进的目光分析和机器学习预测,扩大科学发现的可访问性.
科学领域:
- 人与计算机的交互
- 机器学习 机器学习
- 数据科学数据科学数据科学
背景情况:
- 由于人工智能和大型数据集,眼睛跟踪集成正在推进.
- 技术专业知识是眼睛追踪更广泛采用的障碍.
- 需要可访问的工具来分析复杂的目光数据.
研究的目的:
- 介绍BeACH-Gaze,这是一个用于眼睛跟踪分析的开源平台.
- 为研究人员和从业人员降低技术障碍.
- 促进眼睛跟踪在各个领域的更广泛采用.
主要方法:
- 开发了Beach-Gaze,这是一个开源软件平台.
- 通过窗口细分实现了连续的凝视分析.
- 整合了已建立的机器学习模型,用于视线预测.
主要成果:
- BEACH-Gaze提供全面的描述性和预测性分析支持.
- 平台允许实时基于视线的系统模拟.
- 研究人员可以在没有高级技术技能的情况下生成视线预测.
结论:
- BEACH-Gaze简化了眼睛跟踪数据的解释和应用.
- 该平台有助于从目光数据中开发机器智能.
- 在自闭症支持,自适应可视化和航空安全方面展示了使用案例.
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