Mashable: What gave MLG the idea for EVE?
Mike Sepso: The initial spark to innovate the viewing experience came from that idea that a lot of what was being done by people could be done with software. Users wanted more of an engaging experience, something more than a passive linear video. All of those things together kind of gave us the original idea for EVE. We’ve been working on it for a little over a year now and our initial tests are very good. One thing we found but didn’t aim for was that even the core esports fan base really appreciated the richer viewing experiences. They tend to engage and watch longer when EVE is available.
What are EVE’s main goals?
The main goal for EVE is to provide a richer esports-specific viewing experience for fans. Our primary objective is to help new fans get acclimated more quickly. If you’re not familiar with the game you’re watching it’s hard to understand what’s going on, you’re really only ever seeing a small aspect of the playing field so to speak. So what we’ve tried to do with EVE is take advantage of the historic and real-time data; so we can then use algorithms to come up with interesting insights faster than a human being could. We can also use EVE as a very rich scoreboard, displaying information that you’re not getting visually or through the broadcast announcers.
It’s not realistic to watch eight or 10 different viewpoints at one time and it’s not feasible for any single camera to encapsulate all of what’s happening in one shot. We found that the broadcasters were actually more like sports radio than sports television, in other words they were really having to describe what was happening to keep the viewer in game. With broadcasters having to recall what you missed there isn’t enough whitespace to paint backstories, create drama, and drive the players personal storylines forward. We wanted to alleviate that issue for broadcasters so they can focus more on the players and do more than just literally recount play-by-plays.
Can you tell us a little bit about how EVE’s situational insight algorithm works?
We start by getting a big download of data from each games server. Then we take data specific to the teams playing in competition or their historical performances. The algorithms then get fed a live stream of gameplay as it’s happening and pre-determines trigger events.
Depending on the trigger event our algorithms will compare what happened against the database and provide some contextual information.
Are we only going to see EVE on Activision-Blizzard games … or is MLG trying to take it further than that?
It’s our intention to create an EVE for every esport title out there, we’re willing to work with any developers who are open to it.
Source – Mashable