CalPerformances at UC Berkeley asked Kineviz to collaborate in creating a unique audience participation experience called CITIZEN DANCE, a performance event taking place simultaneously at from multiple stages across the UC Berkeley campus over a 2 hour period. They were looking for a way to guide the people through the event and facilitate participation. They also wanted to collect data on audience traffic at the event, and use it to create an easy to understand visualization.
To achieve the goals set forth by CalPerformances, Kineviz designed a mobile app (for IOS and Android) specifically for the CITIZEN DANCE event. Once the app was installed on a phone, location beacons placed across the campus could track and display it’s location on an animated map of the campus, which showed where it was in relation to the performance stages.
When the user got to a stage the app “unlocked” content specific to that performance, in the form of audio, video and text, which guided them in participating with the event.
While the user was interacting with the performance, their location data was captured to our database. The aggregated user data was presented as an animated map of audience traffic across the duration of the event, a powerful tool for visualizing audience movement and engagement
What can VR bring you that typical data visualization doesn’t? A tour of high-dimension visualization techniques, Iris data, Tim Cook’s faces, node-and-edge graphs, and VR.
San Francisco’s DataVR meetup group met for the first time a few weeks ago. I was there, and am happy to report that there was a lively group discussion centered around the merits of VR data visualization and analysis tools.
Implicitly, we all understood that we are dealing with a classic Chicken and Egg problem — it’s difficult to build a suite of VR tools that people will use without knowing how said people will use VR data tools.
In this piece, I will explore how VR can help with a) information density and b) intuitively understanding data, by examining how high-dimensional data visualization and graph exploration can benefit from VR.
Continued at Medium.
When Doppio Group needed to provide their clients—manufacturers like Rip Curl, Jelly Belly, and Red Wing Shoe Company—with a realtime reporting solution, off-the-shelf products didn’t cut it. They turned to Kineviz for a cloud-based dashboard tailored to the specific needs of EDI integration. End users reported saving 2 to 3 hours a day thanks to the ease of searching, filtering, and visualizing their shipping data.
Doppio Group CEO Erik Kiser says “Building a data visualization tool for enterprise customers is a demanding task. Kineviz built the dashboard with the end users customization needs in mind. They considered the big picture and long term impact of architecture and design. Wei is a visionary when it comes to problem solving with software. It's nice not having to worry about the details when you work with Wei and his team."