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| Content Provider | ACM Digital Library |
|---|---|
| Author | Vicencio-Moreira, Rodrigo Mandryk, Regan L. Gutwin, Carl |
| Abstract | When player skill levels differ widely in a competitive First-Person Shooter (FPS) game, enjoyment suffers: weaker players become frustrated and stronger players become less engaged. Player balancing techniques attempt to assist the weaker player and make games more competitive, but these techniques have limitations for deployment when skill levels vary substantially. We developed new player balancing schemes to deal with a range of FPS skill difference, and tested these techniques in one-on-one deathmatches using a commercial-quality FPS game developed with the UDK engine. Our results showed that the new balancing schemes are extremely effective at balancing, even for players with large skill differences. Surprisingly, the techniques that were most effective at balancing were also rated as most enjoyable by both players -- even though these schemes were the most noticeable. Our study is the first to show that player balancing can work well in realistic FPS games, providing developers with a way to increase the audience for this popular genre. In addition, our results demonstrate the idea that successful balancing is as much about the way the technique is applied as it is about the specific manipulation. |
| Starting Page | 2255 |
| Ending Page | 2264 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781450331456 |
| DOI | 10.1145/2702123.2702242 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-04-18 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Game balancing First-person shooters Player balancing |
| Content Type | Text |
| Resource Type | Article |
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