PhD Student in Computer Science at Rutgers University, leveraging large language models and machine learning for creative design and pedestrian modeling.
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Utilizing Large Language Models as an organizer of various generative tools, the StoryAgent framework automates digital storytelling with fine-grained control over intermediate products.
How will attention affect walking speed in retail areas? We model how pedestrians will be attracted to environmental objects and how this will slow down their walking speed. Then we show how our model can help optimize the design of retail areas in transportation hubs.
