Inferring personality of online gamers by fusing multiple-View predictions

Details

2012 July 16-20; Montreal, Canada. Date of Talk: 7/16/2012

Speakers

Jianqiang Shen
Brdiczka, Oliver
Ducheneaut, Nicolas
Nicholas Yee
Bo Begole
Event

Inferring personality of online gamers by fusing multiple-View predictions

Reliable personality prediction can have direct impact on many adaptive systems, such as targeted advertising, interface personalization and content customization. We propose an algorithm to infer a user's personality profile more reliably by fusing analytical predictions from multiple sources including behavioral traces, textual data, and social networking information. We applied and validated our approach using a real data set obtained from 1,040 World of Warcraft players. Besides behavioral and social networking information, we found that text analysis of character names yields the strongest personality cues.

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