Developing innovative human-centric visualizations is of paramount importance in many sectors. With the evolution of more and more information, the long-term implications of human-centric data visualization are enormous to help make intelligent decisions. The information that is captured from sources such as sensors and other equipment are quite rich. In support of this goal, the proposed project will evaluate data representations with respect to people having differing cognitive abilities so that decision-making is faster and subject to less errors while allowing multi-criteria evaluations.
Although human performance in many different types of tasks have been extensively researched, limited research has been undertaken concerning cognitive and physiological changes associated with multi-tasking. This project includes a network physiology model based on simultaneous recording of brain, heart and breathing activity prior, during and following a complex task. The data will be collected and used to develop a comprehensive model of human performance in multi-tasking situations.
The objective of this project is to develop a form-fitting and compliant footbed to support the human body to give a unique feel and ride for sandals and high heel shoes without any “bulky” insoles and orthotics. The rationale for the project is that most footwear have very poor or no support in most areas of the foot, especially the midfoot region, thereby affecting gait and decreasing proprioception.