MutualEyeContact：一个专注于眼神交流的会话分析工具
MutualEyeContact: A conversation analysis tool with focus on eye contact
摘要：
人与人之间的眼神交流对于理解人类行为尤其重要。为了进一步研究目光接触在社交中的重要性，便携式眼动追踪技术似乎是一个自然的选择。然而，对现有数据的分析可能会变得相当复杂。科学家需要快速准确计算的数据。此外，相关数据必须自动分离以节省时间。在这项工作中，我们提出了一种名为MutualEyeContact的工具，它擅长这些任务，可以帮助科学家了解（相互）眼神接触在社会交往中的重要性。我们将最先进的眼动追踪与基于机器学习的人脸识别相结合，并提供了一种用于分析和可视化社交互动会话的工具。这项工作是计算机科学家和认知科学家的联合合作。它将社会和行为科学领域与计算机视觉和深度学习相结合。
英文摘要：
Eye contact between individuals is particularly important for understanding human behaviour. To further investigate the importance of eye contact in social interactions, portable eye tracking technology seems to be a natural choice. However, the analysis of available data can become quite complex. Scientists need data that is calculated quickly and accurately. Additionally, the relevant data must be automatically separated to save time. In this work, we propose a tool called MutualEyeContact which excels in those tasks and can help scientists to understand the importance of (mutual) eye contact in social interactions. We combine state-of-the-art eye tracking with face recognition based on machine learning and provide a tool for analysis and visualization of social interaction sessions. This work is a joint collaboration of computer scientists and cognitive scientists. It combines the fields of social and behavioural science with computer vision and deep learning.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
