CRII: CHS: Collaboratively Perceiving, Comprehending, and Projecting into the Future: Supporting Team Situational Awareness with Adaptive Collaborative Tactons

数据过载，特别是在视觉通道中，以及监测中的相关故障已经是数据丰富环境中的一个主要挑战。 克服数据过载的一种有希望的方法是通过引入多模态显示器，其在各种感官通道（包括视觉，听觉和触觉）中分配信息。 近年来，触摸作为减轻视觉和听觉通道负担的一种手段受到了更多的关注，但在这种方式中还有很多东西有待发现。 Tactons或触觉图标/显示器是结构化的抽象信息，可用于在缺乏视觉的情况下传达信息。 然而，如果战术子的设计没有考虑到复杂系统依赖于团队的协调活动，那么战术子的有效性可能会受到影响。 PI在这个项目中的目标是建立一个研究计划，将探索自适应协作策略作为支持态势感知的一种手段，即团队感知和理解环境信息并真实的预测未来事件的能力。 项目成果将有助于更深入地理解个人和团队的感知和注意力，以及多通道界面如何支持数据丰富领域的团队合作。这项工作将整合人为因素中的三个不同主题：多通道界面，情景感知和自适应系统。 PI将创建方法来设计tactons，考虑到团队所需的背景和信息类型，通过利用多模态方面来开发定量和定性模型以及使用生理测量（特别是眼动跟踪数据）的算法。 这些反过来将通知自适应战术的功能，通过响应于各种感测参数和条件调整信息的呈现来支持协作。

Data overload, especially in the visual channel, and associated breakdowns in monitoring already represent a major challenge in data-rich environments. One promising means of overcoming data overload is through the introduction of multimodal displays which distribute information across various sensory channels (including vision, audition, and touch). In recent years, touch has received more attention as a means to offload the overburdened visual and auditory channels, but much remains to be discovered in this modality. Tactons, or tactile icons/displays, are structured, abstract messages that can be used to communicate information in the absence of vision. However, the effectiveness of tactons may be compromised if their design does not take into account that complex systems depend on the coordinated activities of a team. The PI's goal in this project is to establish a research program that will explore adaptive collaborative tactons as a means to support situational awareness, that is the ability of a team to perceive and comprehend information from the environment and predict future events in real time. Project outcomes will contribute to a deeper understanding of perception and attention between and across sensory channels for individuals and teams, and to how multimodal interfaces can support teamwork in data-rich domains.The work will integrate three disparate topics within human factors: multimodal interfaces, situational awareness, and adaptive systems. The PI will create methods to design tactons that take into account both context and the types of information needed by a team, by leveraging the multimodal aspects to develop quantitative and qualitative models and algorithms using physiological measures (in particular, eye tracking data). These in turn will inform the functionality of adaptive tactons that support collaboration by adjusting the presentation of information in response to various sensed parameters and conditions.