AI and video games: Using AI and data to understand why players play
Game Analytics co-author Dr. Alessandro Canossa outlines why it’s vital to keep players engaged and using AI to work out how
October 4, 2021
Game Analytics co-author Dr. Alessandro Canossa outlines why it’s vital to keep players engaged and using AI to work out how
It’s not enough to make a game and simply release it.
The launch of a title is the start of a long journey that involves building a community that will hopefully play the game for years to come, buying in-game items, DLCs, and sequels.
This means really understanding player motivations, what makes them want to stay, and what makes them want to quit. But that is easier said than done.
Dr. Alessandro Canossa, co-author of Game Analytics: Maximizing the Value of Player Data, has spent more than a decade trying to fine-tune this art, turning to artificial intelligence, psychology, and reams of player data to build gamer profiles.
Understanding gamers
Of course, one of the easiest ways to get an understanding of what players think is to ask them.
When working with Ubisoft, Canossa and the team created a survey that they sent out to players.