can analyze data to identify key traits among massive multiplayer online gaming communities to let game creators identify players psycho-social motivations and improve user experience.
MINNEAPOLIS / ST. PAUL (7/26/2011) - University of Minnesota researchers finalized an agreement to launch
, a software startup that can analyze data to identify key traits among massive multiplayer online gaming communities. Using this data, game creators can identify each player's psycho-social motivations, and take action to help ensure enhanced user experience.
Massive multiplayer online gaming describes Facebook games like Farmville, online role playing games like World of Warcraft, or online communities like Xbox Live. When each user logs on to play, the game creator is collecting data about that user's game play. In an age when consumer attention is valued at a high premium, the massive communities and high level of engagement seen in online gaming is valuable, and player experience is key.
For most online gaming platforms, the game creators generate revenue from subscription fees, third party advertising, or sales of virtual goods. Game creators aim to create a massive player community and to keep those users playing. "An average player spends four hours a day on World of Warcraft," said Jaideep Srivastava, co-inventor and cofounder of Ninja Metrics, a startup based in Los Angeles. The startup relies on novel data mining techniques, developed in part at the University of Minnesota, that extract key user traits from a massive pool of data being collected from online gaming platforms.
, Ninja Metrics can analyze social data to identify user trends, target key players, and predict when a player may cancel their account. The potential for the technology has earned the interest of a number of major players in the online gaming industry.
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