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Working with brick-and-mortar venues to deploy and optimize printed signage within poster stands embedded with facial detection sensors. A methodology for monitoring, evaluating, and actioning insights derived from remote monitoring is proposed and tested. The methodology takes parallels from agile digital development processes to continually test and refine designs based on a constant flow of data reflecting real user behaviors.

People increasingly rely on visual representations of information to explore and make sense of data. However, people have inherent biases that often lead to errors and inefficiencies in the decision making process. The goal of our research is to help people make better decisions while exploring and analyzing data using visualizations. We introduce computational methods for quantifying an analyst’s biases based on their interactions in the visualization. Using that information, we illustrate ways to modify or design new visualization systems that mitigate biased decision making.

Our project aims to tackle the problem of social isolation and food insecurity amongst the older adult population. It explores service models that provide regular, nutritious meals and boost opportunities for social connection at the same time.