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首页> 外文期刊>Neural computing & applications >Using eye-tracking into decision makers evaluation in evolutionary interactive UA-FLP algorithms
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Using eye-tracking into decision makers evaluation in evolutionary interactive UA-FLP algorithms

机译:在进化交互式UA-FLP算法中使用眼睛跟踪进入决策者评估

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摘要

Unequal area facility layout problem is an important issue in the design of industrial plants, as well as other fields such as hospitals or schools, among others. While participating in an interactive designing process, the human user is required to evaluate a high number of proposed solutions, which produces them fatigue both mental and physical. In this paper, the use of eye-tracking to estimate user's evaluations from gaze behavior is investigated. The results show that, after a process of training and data taking, it is possible to obtain a good enough estimation of the user's evaluations which is independent of the problem and of the users as well. These promising results advice to use eye-tracking as a substitute for the mouse during users' evaluations.
机译:不平等的地区设施布局问题是工业厂房设计中的一个重要问题,以及医院或学校等其他领域。 在参与交互式设计过程的同时,需要人类用户来评估大量提出的解决方案,这些解决方案产生了精神和物理的疲劳。 在本文中,调查了使用眼跟踪来估计来自凝视行为的评估。 结果表明,在培训和数据的过程之后,可以获得足够的足够估计用户的评估,这些评估是独立于问题和用户的评估。 这些有希望的结果建议在用户评估期间使用眼睛跟踪作为鼠标的替代品。

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