Summer of Math Exposition

The mathematical accuracy and the use of Python for simulation are solid. However, while the application of probability theory to crowd dynamics is clear, the presentation lacked the strong initial motivation needed to make the topic fully engaging for the targeted audience. Enhancing the visual storytelling would help make the core concepts more memorable. Good effort overall.

Awesome real world application, I appreciated the design in modeling. I would have some debates about how wait time is measured in terms of people being outside or inside the exhibit, because regardless of where they’re waiting they are still gonna be upset. Also would be good to note that “most attractive” exhibit can be pretty subjective based on the audience. But overall great motivation! The clarity was good as well, not much jargon and concepts were explained pretty simply. In terms of novelty, I didn’t see anything super novel for animation, but I appreciated that they created their own model and simulation for it, the graphs were very helpful! Memorability I liked that my idea that putting the most attractive thing at the first was the most efficient and that was reinforced with the simulation. But I don’t think that was a surprise. I will say though that I did really like seeing how the u-turn was actually useful when applying the peeking mechanic. Narration would be a lot better if maybe done by a native english speaker or even an AI model, or also spoke a little louder. But overall I could still understand it so great job!!!!

the animations are wonderful. Very clear and they serve the narrative purpose. I especially like how you would pause and wait from time to time to let the viewer take in the information. Its almost like the video itself used the things you learned from the computer simulation and you built in natural wait times at points along the video.

The speaking narration was hard to follow at times and that was a problem, but I understand that you cant do much about your own speaking voice.

audio is terrible & slow (I’d like to say this won’t affect the score, but I’m actually gonna remove points for how bad the audio was… get a mic, sit up tall, speak clearly.) minus clarity

making a video about waiting, patience, and watch time… ahahahaha I feel this is some how dirrected at viewers that have the attention span of a gnat. plus novelty

Summary was great (could use better audio) plus clarity

1-9 Motivation: 2 (useful if I was a museum owner) could have given more examples of practicality, say events, festivals, etc. Clarity: 3 (some of the images took a fair second to look at to understand, also bad audio) Novelty: 3 (interesting concept to present on) Memorability: 1 (cant say I’d share this or recollect this presentation in my future) 9/4 = 2.25

I am confused on how a u-turn vs a straight queue changes the speed of travel. Also, I don’t think “patience” is the correct term. I would use that word to explain how well people cope with waiting idly. I would probably say focus/attentiveness as a metric of how long they would actively engage with an exhibit.

The problem is well-motivated, the graphics are clear, and the exploration makes sense.

The analysis feels a little sparse. You only consider two shapes of museum, two orders of exhibits, and two shapes with peeking. And you don’t look at how these factors interact. I also would have liked to see you look into spacing between exhibits (you always have them at the end) or big exhibits that allow multiple viewers.

That was nice! Your delivery was very flat, so it was hard to keep attention. And I would have loved to see what happens with diagonal peeks.