论文标题
高度动态决策任务中的潜在目光信息
Latent gaze information in highly dynamic decision-tasks
论文作者
论文摘要
数字化正在渗透越来越多的生活领域。任务越来越多地以数字方式完成，因此不仅更快，更有效地完成，而且更有目的和成功。近年来，人工智能领域的快速发展在这方面发挥了重要作用，因为他们提出了许多有用的方法来发展。同时，正在逐步研究这些动作的眼睛，动作以及这些运动的含义。这些发展的结合导致了令人兴奋的方法。在本文中，我介绍了我在博士学位期间从事的一些方法。 首先，我洞悉了使用人工智能将眼动动作与视觉专业知识联系起来的模型的开发。这是针对两个人或一个人群的：决策行动的运动员和关节镜手术中的外科医生。所得模型可以视为自动专业知识识别的数字诊断模型。此外，我展示了研究眼动模式向不同专业领域的转移性，随后是概括技术的重要方面。最后，我根据眼动数据解决了混乱的时间检测。结果表明，在培训年轻专业人员的培训中，将结果模型用作可能的数字援助选项的时钟信号。我的研究的一个有趣方面是，我能够从DFB青年精英运动员以及关节镜检查的长期专家那里汲取非常有价值的数据。特别是，使用DFB数据的工作吸引了广播和印刷媒体的兴趣，即Deutschlandfunk Nova和SWR Dasding。此处介绍的所有结果文章均在国际知名的期刊或会议上发表。
Digitization is penetrating more and more areas of life. Tasks are increasingly being completed digitally, and are therefore not only fulfilled faster, more efficiently but also more purposefully and successfully. The rapid developments in the field of artificial intelligence in recent years have played a major role in this, as they brought up many helpful approaches to build on. At the same time, the eyes, their movements, and the meaning of these movements are being progressively researched. The combination of these developments has led to exciting approaches. In this dissertation, I present some of these approaches which I worked on during my Ph.D. First, I provide insight into the development of models that use artificial intelligence to connect eye movements with visual expertise. This is demonstrated for two domains or rather groups of people: athletes in decision-making actions and surgeons in arthroscopic procedures. The resulting models can be considered as digital diagnostic models for automatic expertise recognition. Furthermore, I show approaches that investigate the transferability of eye movement patterns to different expertise domains and subsequently, important aspects of techniques for generalization. Finally, I address the temporal detection of confusion based on eye movement data. The results suggest the use of the resulting model as a clock signal for possible digital assistance options in the training of young professionals. An interesting aspect of my research is that I was able to draw on very valuable data from DFB youth elite athletes as well as on long-standing experts in arthroscopy. In particular, the work with the DFB data attracted the interest of radio and print media, namely DeutschlandFunk Nova and SWR DasDing. All resulting articles presented here have been published in internationally renowned journals or at conferences.
