General Overview
This project aims to study ways to improve the design of public spaces for immigrants using technology to understand better and translate into design their needs.
The team is composed of researchers from Cornell's Landscape Architecture, Communication, and Information Science departments.
This project aims to study ways to improve the design of public spaces for immigrants using technology to understand better and translate into design their needs.
The team is composed of researchers from Cornell's Landscape Architecture, Communication, and Information Science departments.
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Work in progress
Using social media data to inform landscape designers
We're asking participants to donate their social media data and working on an app to translate it into insights that can inform landscape designers.
We're asking participants to donate their social media data and working on an app to translate it into insights that can inform landscape designers.
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Designing the study
Study 1: Using Generative AI for Prototyping Public Spaces
We aim to understand how landscape designers' prototyping processes in participatory workshops change using image-generative AI.
Study 2: Assessing potential language biases in image generative AI systems
During the same project, we aim to evaluate if the language in which GAI is prompted can influence the quality of images generated during prototyping.
We aim to understand how landscape designers' prototyping processes in participatory workshops change using image-generative AI.
Study 2: Assessing potential language biases in image generative AI systems
During the same project, we aim to evaluate if the language in which GAI is prompted can influence the quality of images generated during prototyping.
