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的广泛的下一代输入，输出和显示技术。随着计算稳步向移动的使用环境转移，我们使用和交互的计算技术变得越来越异构，并且通常需要跨越设备、使用上下文和物理空间的交错交互的混合。此外，使用的可变环境上下文可以显著地改变最适合人类与技术通信的输入和输出模态的类型。与过去不同的是，在过去，更多的静态使用场景是普遍的，因此可以选择特定的输入/输出模态并在很长一段时间内使用，我们目前正在转向使用场景非常灵活并且可以随着时间和空间迅速变化的情况。我们目前的用户界面和可视化策略并不是特别适合处理流体切换的交互方式，使用上下文迅速变化。在拟议的研究中的关键目标是开发一个统一的方法来交互和可视化的用户从一个设备和使用上下文移动到另一个和快速的顺序，使这些上下文切换发生的输入和输出设备和模态的平滑切换。为了支持这一点，研究还将探索更微妙和不太明确的输入和反馈形式，例如基于视觉的感知和微触觉反馈，这可以帮助将界面联系在一起，并在从一种交互形式过渡到另一种交互形式时保持连续性。该方法将是一个创造性的新的探索性接口，将被用作探针在用户部署，其次是经验评估的接口，其结果被用来完善设计。由此产生的系统工件将大大偏离今天的界面，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.