Better than you would think. It's an interesting idea mixed with reasonably good gameplay.

User Rating: 8.1 | .hack//Infection Part 1 PS2
.hack//infection is the first of four games in the series. The game takes place in a MMORPG, if you understand that. Basically, your friend has invited you to play one of the most popular online games in the world, aptly named "The World." Under the username of Kite, ou become one of its twenty million players, and are promptly thrown into the action when your friend dies in the game and goes into a coma in the real world. Throughout the rest of the game, you are trying to figure out what is happening as more players fall into comas, while meeting friends, participating in events, and having fun.

Within the game, you start at a city, just like any normal RPG. There, you can talk and trade with other players, buy, sell, and store equipment and items, and form parties with up to two other players. Then you go to the "Chaos Gate" and enter a three-part keyword, which determines the attributes of the area you want to go to.

Just like any other RPG, there are open areas for you to explore, as well as dungeons with prizes on the deepest level. When you aren't actively playing the game, you can check the Board or your e-mails, or see bonus content on the ALTIMIT desktop.

When entering into a battle, the background music transitions seamlessly into more upbeat battle music. The battle system is somewhat a mix between Active and Passive. You attack normally in real time, but to use an item or skill, you have to enter a menu and the game pauses. During the battle, you are free to move around or run away, and your party members will follow basic commands.

The graphics, while not super-realistic, are still pretty good. Characters look like they came straight out of an anime. The areas are reasonably well-detailed, though the textures are somewhat dated.

Though the game sounds like a typical standard RPG, there are several unique features, such as the "Game-in-a-game" concept and the Data Drain technique (which is used to )