Design a transmedia experience that rallies people on urgent social cause where the voices of underrepresented groups are expressed
5 weeks | 02.02 – 09.03.2023
5 people | Cyrus (Xiyuan) Han, Mansi Chottani, Mila Tawil and Sushil Suresh
Selecting a final direction
Once again because we were not set in the direction and message of the item we went on spirals of thinking of different ideas which essentially made us lose valuable time in execution. What was stopping us from executing is disagreements about which direction to pursue and the technical feasibility of each option and the time required for each.
The feedback we received from our partners and lecturers did not provide a specific direction but rather highlighted the potential in both main directions. We were left to decide which direction to pursue while keeping in mind what we wanted to convey based on our audience and our group’s artistic way of expressing it.
In the end, we decided to conduct a test, but we only selected the option we started thinking about last week from the various ones discussed which I think was not a great approach. This choice was based on what we felt was the most feasible option within the remaining time.
Challenge of developing a system
The challenge was that multiple components had to convey interconnected stories, and any changes made to one “channel” would inevitably affect the others, requiring corresponding adjustments. Balancing all these factors was a complex task, as the transmedia experience had to effectively convey the intended message.
Our approach was good in terms of selecting one main channel. What I would do to improve it further is to create a diagram with the channels and specify what stories each should convey and stick to the “blueprint” as much as possible.
We then worked together to assemble the pieces, each taking on tasks based on their skill set.
My part: Coding
The most feasible and quickly implementable interaction between the pieces in my opinion.
Although I have limited experience with coding in Python, I used prompting techniques to guide ChatGPT in building the solution we were after. I used provided pseudo-code (describing a computer program’s logic using plain language that closely resembles actual programming code).
Having Sushil’s extra pair of experienced eyes made the execution very smooth. He was able to check my logic and ideas and provide troubleshooting and debugging support when I got bogged down in details or when things were outside of my expertise.
We were able to capture the interest of visiting graduates and lecturers and received positive feedback for this stage. However, during testing with them, we realized that the interaction with the table was not clear, which reduced the intended experience. To address this issue, we will be working on incorporating extra cues into the interaction.
Read the full case study for the project!