Urban Immersion: A Web-based Crowdsourcing Platform for Collecting Urban Space Perception Data.

We introduce Urban Immersion, a web-based platform for collecting crowdsourcing immersive perception data of urban space. Current research based on crowdsourcing data mainly utilize 2D representation tools, and it has limitations in the studies involving spatial features. Thus, in our design and implementation of the platform, which aims to help architects, urban researchers, or people in spatial management to understand their users' preferences, we incorporate webVR and 360-video techniques to display both realistic and abstract representation of the urban environment. We chose the city Shanghai for the first round of the experiment to test our crowdsourcing platform. We first did internal testing for the prototyping of the platform and then published it in social media and invited 771 people to participate in rating their perception preference. We did a rating analysis and visual mapping of the 5735 valid data we collected. We evaluated this round of crowdsourcing data collection on Urban Immersion platform. We checked the effectiveness of applying 3D representation techniques to crowdsourcing platforms and proposed how we could improve the platform in future work.