Subtle User Interfaces

这项研究的重点是探索新的用户交互和可视化技术，用于广泛的下一代输入、输出和显示技术。随着计算稳步转向移动使用环境，我们使用和交互的计算技术正变得越来越异构化，通常需要跨越设备、使用环境和物理空间的交叉交互的混合。此外，可变的使用环境环境可以显著改变最适合人类与技术交流的输入和输出模式的类型。与过去不同的是，在过去，更多的静态使用场景很普遍，因此可以选择特定的输入/输出模式并在很长一段时间内使用，而我们目前正在转向一种使用场景非常不稳定并且可以随着时间和空间快速变化的情况。随着使用环境的快速变化，我们当前的用户界面和可视化策略不能特别好地适应于处理交互模式的流动切换。拟议研究的关键目标是开发一种统一的交互和可视化方法，当用户快速地从一个设备和使用情景移动到另一个设备和使用情景并返回时，使输入和输出设备和模式能够在这些情景切换发生时顺利切换。为了支持这一点，研究还将探索更微妙、更不明确的输入和反馈形式，例如基于视觉的传感和微触觉反馈，这些形式可以帮助将界面连接在一起，并在一个人从一种交互形式转换到另一种形式并返回时保持一种连续性。该方法将是建立创造性的新的探索性界面，将在用户部署中用作探测器，然后对界面进行经验评估，结果将用于改进设计。由此产生的系统构件将显著偏离当今的界面，因此有可能改变我们在未来计算设备上消费和交互数据的方式。

This research is focused on exploring new user interaction and visualization techniques for a broad range of next generation input, output, and display technologies. As computing steadily moves to mobile usage environments, the computing technologies we use and interact with are becoming increasingly heterogeneous and often require a medley of interleaved interactions spanning devices, usage context, and physical space. Further, the variable environmental context of use can significantly alter the types of input and output modalities that are best suited for human communication with the technology. Unlike in the past, where more static usage scenarios were prevalent and as such a particular input/output modality could be chosen and used for a good chunk of time, we are currently moving to a situation where usage scenarios are very fluid and can rapidly change over time and space. Our current user interfaces and visualization strategies are not particularly well adapted to handling fluid switching of interaction modalities as usage context rapidly changes. The key objective in the proposed research is to develop a unified approach to interaction and visualization as users move from one device and usage context to another and back in rapid sequence, enabling smooth switching of input and output devices and modalities as these context switches happen. To support this, the research will also explore more subtle and less explicit forms of input and feedback, such as vision based sensing and micro haptic feeback, that could help tie the interface together and maintain a sense of continuity as one transitions from one form of interaction to another and back. The approach will be one of building creative new exploratory interfaces that will be used as probes in user deployments, followed by empirical evaluation of the interfaces, with the results being used to refine the designs. The resulting system artifacts will significantly deviate from the interfaces of today, and hence has the potential to alter the way we consume and interact with data on future computing devices.