In this week's tutorial, Caitlin asked the following questions based on the progress of my project.
- What is the aim? Data based learning? What information is useful for the audience to know? Map could communicate the causes of light. What is the purpose?
- Think the relationship between audience movement and diff types of information triggered/released by different movements
- Can you visualise and plan the different ways the audience can and might interact with the projected map?
- Do you have space to install your work and photograph/film?
With some of the questions that Catherine asked, I am going to continue my research.
At the same time, I have encountered a significant problem with producing this week's project, as I initially wanted to use Kinect for production. But one of the drawbacks of Kinect is that there is a long delay in his recognition. After my research, I found that LIDAR was a better option. This problem was also solved.
During the week, I also reflected on the results of my pre in relation to my project.
I felt that I should be able to argue through my work how and why your practical approach clearly communicates your key points to the audience, rather than just saying something like "the audience understood the light pollution problem by touching the curtains", as this does not stand up to scrutiny. For an FMP, I have to show a lot of thought about my design choices and argue coherently how it achieves thematic communication to the viewer.
Some useful link based on this week's research
Scientist’s new database can help protect wildlife from harmful hues of LED lights
The Dark Side of Light: A Transdisciplinary Research Agenda for Light Pollution Policy
Light Pollution: A Case Study in Framing an Environmental Problem
The economics of global light pollution
Big Cities, Bright Lights: Ranking the Worst Light Pollution on Earth
Four ways to curb light pollution, save bugs
https://source.wustl.edu/2019/11/four-ways-to-curb-light-pollution-save-bugs/
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