In addition to context awareness and proactive behaviour, personalization constitutes one of the most important factors to consider when building digital assistance systems. In the field of location prediction, personal information can lead to a significant improvement of the predictive performance of the respective models. However, most of the existing approaches handle this type of information separate from the actual location and movement data, making them incapable of taking the entire existing underlying dynamics into account. In the presented work, inspired by the Minsky’s frame system theory in the 1970s, we evaluate an adapted ontological construct, which we call context-specific cognitive frame ( CSCF ), in order to capture the entire experience of a user at a given moment. Moreover, we use CSCFs to associate situations that arise when visiting a certain location with the respective context information as well as the emotions and the personality of the user. We show that our method can be used to provide a flexible, more accurate and therefore more personalized user experience using the example of location prediction.

中文翻译：

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Sentient 目的地预测

除了情境意识和主动行为外，个性化也是构建数字辅助系统时要考虑的最重要因素之一。在位置预测领域，个人信息可以显着提升各个模型的预测性能。然而，大多数现有方法处理此类信息与实际位置和运动数据分开，使它们无法考虑整个现有的潜在动态。在所呈现的工作中，受 1970 年代明斯基框架系统理论的启发，我们评估了一个适应的本体论结构，我们称之为上下文特定认知框架 (CSCF)，以便在给定时刻捕捉用户的整个体验。而且，我们使用 CSCF 将访问某个位置时出现的情况与相应的上下文信息以及用户的情绪和个性相关联。我们展示了我们的方法可用于使用位置预测示例提供灵活、更准确、因此更个性化的用户体验。