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A cognition-centered personalization framework for cultural-heritage content

机译:以认知为中心的文化遗产内容个性化框架

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The heterogeneity of the audience of cultural heritage institutions introduces numerous challenges to the delivery of the content. Considering that people differ in the way they perceive, process, and recall information and that their individual cognitive differences influence their experience, performance, and knowledge acquisition when performing cultural-heritage activities, the human-cognition factor should be considered as an important personalization factor within cultural-heritage contexts. To this end, we propose a cognition-centered personalization framework for delivering cultural-heritage activities, tailored to the users' cognitive characteristics. The framework implements rule-based personalization algorithms that are based on cognition-centered user models that are created implicitly, transparently, and in run-time based on classifiers that correlate end-user cognitive characteristics with interaction and visual behavior patterns. For evaluating the proposed framework and improving the external validity of the experimental results, we conducted two eye-tracking between-subjects user-studies (N=226) covering two different cognitive styles (field dependence-independence and visualizer-verbalizer) and two different types of cultural activity (visual goal-oriented and visual exploratory). The results provide evidence about the applicability, effectiveness, and efficiency of the proposed framework and underpin the added value of adopting cognition-centered personalization frameworks within digitized cultural-heritage interaction contexts.
机译:文化遗产机构的受众的异质性给内容的传递带来了许多挑战。考虑到人们在进行文化遗产活动时对信息的理解,处理和回想方式有所不同,并且个人的认知差异会影响他们的经验,绩效和知识获取,因此人类认知因素应被视为重要的个性化因素在文化遗产的背景下。为此,我们提出了一个以认知为中心的个性化框架,用于根据用户的认知特征进行文化遗产活动。该框架实现基于规则的个性化算法,该算法基于以认知为中心的用户模型,该模型以隐式,透明方式并在运行时基于将最终用户的认知特征与交互和视觉行为模式相关联的分类器创建。为了评估所提出的框架并提高实验结果的外部有效性,我们进行了两次对象间用户跟踪的眼动研究(N = 226),涵盖了两种不同的认知方式(场依赖-独立和可视化-语言化)以及两种不同的认知方式文化活动的类型(面向视觉目标和视觉探索)。结果为拟议框架的适用性,有效性和效率提供了证据,并支持了在数字化文化遗产互动环境中采用以认知为中心的个性化框架的附加价值。

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