Social attentive user interfaces for the age of interruption

该提案旨在开发社交关注用户界面，即采用眼动仪和热成像仪等传感器来监控用户注意力的位置和水平，并相应地调整他们的行为。该项目属于人机交互领域，借鉴机器学习方法来设计新颖的用户体验。预期成果包括深入了解人们如何管理他们的注意力，注意力估计和分类的新方法，以及展示这些新功能的电子学习和工作效率的新系统。因此，该项目将提供使系统不再对用户的注意力、社交和认知环境视而不见的好处。

This proposal aims to enable the development of social attentive user interfaces—those that employ sensors such as eye trackers and thermal cameras to monitor the locus and level of users' attention and adapt their behaviour accordingly. The project lies in the field of Human-Computer Interaction, drawing from machine learning methods to design novel user experiences. Expected outcomes include insights into how people manage their attention, new methods for attention estimation and classification, and novel systems for e-learning and work productivity that demonstrate these new capabilities. As a result, this project will provide the benefit of enabling system to no longer be blind to users’ attentional, social, and cognitive contexts.