Crowd Data Visualization Survey
We are interaction design students at Santa Monica College doing research on how crowd density affects people's decision to visit Griffith Park and other public parks during the COVID-19 pandemic. We have found through research that crowd density is very important when deciding whether to go out to a public space and that 90% of people want to know how crowded an area is going to be before planning their visit. We are designing an app and website to give people this information.

In this survey, we are trying to determine what types of crowd density data visualizations are most useful to help people make decisions about whether a space is too crowded for them. If you are not from the Los Angeles area, please answer these questions as if we were asking about your local park.

For more information on our research and concept please see our slide deck (https://drive.google.com/file/d/1iwEXZZiH8orSMIWVG2Q5fdDkuZjNth9_/view?usp=sharing)
or email fonacier_jose_r@student.smc.edu
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1.  Security Camera Footage: One idea to show crowd density is to show snapshots of footage from security cameras, updated every 5-10 minutes. How useful would this be in helping you decide whether this space is too crowded?
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What is your comfort level with making snapshots of security camera footage available in the app to allow others to gauge crowd density?
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2. Density Heat Map: Another idea is to use crowd data to create a density heat map to represent where people are congregating. How useful would this density heat map be in helping you decide whether this space is too crowded?
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3. Point Density Data: This takes the crowd density data and translates it into points to show the location of a person color-coded to represent the number of people around them. How useful would this be in helping you decide whether this space is too crowded?
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4. Interactive 3D model: The data could also be translated into a 3D visualization of the area that the user can pan and zoom to explore different parts. The digital people are color coded based on the number of people in their proximity. How useful would this be in helping you decide whether this space is too crowded?
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5. Of the 4 previous examples shown, please rank them in order of usefulness.
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1- Most useful
2
3
4- Least useful
Security camera footage
Denisity Heat Map
Points Data
Interactive 3D Model
For the visualization that you found most useful, please tell us why.
6. AR Simulation: We also wanted to create a simulation tool to help people imagine what a low or high density area feels like. Augmented reality would link to your devices camera and show people in your environment at varying levels of crowd density. How useful would this be in helping you decide whether this space is too crowded?
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7. 3D & VR Simulation: Another idea is to create a 3D simulation of an area that one could navigate by touch on their device similar to Google Streetview or with virtual reality. How useful would this be in helping you decide whether this space is too crowded?
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8. Which of these simulations would be most helpful for understanding crowd density?
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Please tell us why.
11. A graph like this shows the average crowd density of a certain area of Griffith Park at different times. How useful would this information be when planning your trip to Griffith Park?
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10. Smart camera technology now has the ability to gather information about mask usage from security footage like this, which would feed into percentage that would be displayed on the app. How comfortable would you be with Griffith Park using this technology?
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How helpful would knowing the percentage of people that are wearing masks be when determining when you'll visit Griffith Park?
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12. Is there any other information that would be helpful to determine the crowd density at Griffith Park?
13. Do you use any other app features such as Google Popular Times or Yelp Waiting Times, to anticipate how crowded a place will be before you go?
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If yes, which one?
14. Do you have any other feedback or comments?
15. Age
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Where are you located?
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If you'd be willing to do a short 10 minute follow up interview please leave your email
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