Keywords
AI, LLM, Feedback, Aesthetic Scores, Photo

Technologies
Figma, Clip AI, Neural Probe, Qualtrics, Cameras

This project presents an application that integrates a multimodal AI model (CLIP) with a neural probe to provide structured feedback on formal image qualities such as lighting, composition, and visual clarity. It is designed as a tool for systematically guiding users’ attention toward objective visual properties, enabling controlled investigation of how such prioritisation influences aesthetic evaluation.

As a UX team member, I contributed to user research and evaluation across development stages. I recruited participants for an initial study using a low-fidelity prototype and assisted in analysing the resulting data, which informed the design team in developing the final application. I also supported recruitment for the final field study, which included a control group, an experimental group using the app, and independent raters who evaluated images blind to condition.