This week did not have a major workshop or technical lecture. Instead, Serra focused on explaining the requirements for the final submission and showed examples of how students from previous years had structured their work. I found this really useful because I had been feeling quite overwhelmed by the number of deliverables and was still unclear about what was actually expected from us. Seeing examples of successful submissions helped me understand how everything could be presented and gave me a clearer picture of how to organise our own documentation.
The rest of the session was dedicated to project work. During a brief discussion with Serra, she once again stressed the importance of clarity throughout the project. Although our concept involving AI and prediction algorithms was technically interesting, she reminded us that the audience needed to understand what they were seeing and why it mattered. One suggestion she made was to film the interaction inside the 270-degree screen room. She explained that even a short clip showing someone entering the installation and interacting with it would communicate the purpose of the project far better than screenshots alone. This advice made us think more carefully about how the final work would be experienced and documented.
We spent the remainder of the session working on the next stage of the project, which involved generating heat maps and motion trails from the movement data we had collected. After searching through tutorials and experimenting with different approaches, we were able to produce some visuals that we were genuinely excited about. Seeing these first visualisations emerge from the raw data was encouraging, as it felt like the project was finally beginning to take shape beyond the technical setup and into something with a stronger visual identity.
