PhD Proposal: Enabling Ubiquitous Analytics through Physical Computing

https://umd.zoom.us/my/huaishu
With billions of interconnected devices in the present day world and the reliance on data for informed decision making, there is an increasing demand for quick access to data for analytical reasoning in-situ. Seamlessly creating ad-hoc analytical environments in physical spaces and integrating the existing devices into the workflow can help augment and or go beyond the traditional office environments, enabling collaborative sensemaking at the fingertips. Through the lens of physical computing, I explore how can ad-hoc analytical environments be designed in-situ and existing devices in the environment be seamlessly combined into the sensemaking workflow. With the aim of attaining Ubiquitous Analytics, which amplifies human cognition by embedding the analytical process into the physical environment to enable sensemaking of big data anywhere and anytime, I present the building blocks for creating an interactive visual display system in scenarios ranging from limited to no computational resources to a heterogeneous multi-device collaborative workspace.