SESSION REPORT: "Facial Recognition"

NAME: "Facial Recognition"
GESTALT: Played much like Apples to Apples, except instead of relating nouns (red cards) to adjectives (green cards), they relate nouns to facial expressions and emotions. The player with the most Face-cards by the time all players have run out of object-cards wins the game.
GAMEPLAY: Each player has 5 cards with the names of items, topics or internet domains on them. The first player flips over a Face card, and the other players try to play an object card that would make the person judging the card make that face or express the depicted emotion. The player with the Face card then reads the cards the other players used, and picks the one that most accurately would drive them to make that face. The one who played the winning object card gets to keep the Face card as a point. This cycle moves to the first player's left, and this second player starts the cycle anew. The game is over when the last Object cards have been played, and the player with the most Face cards wins.
SESSION: Much of our time was spent commenting on the choice of object cards (largely internet-culture influenced) and the cleverly-drawn Face cards. If memory serves me correctly Jordan won the game with 5 Face cards, though we were all rather satisfied with the game's sense of humor.

(Recommendations/suggestions for the game: Assuming the intention is reaching a larger audience, I suggest that the creator adds more "traditional" objects and faces, so that players without an understanding of internet subcultures can still understand and play accordingly. Additionally, if ever released, this game could benefit from expansion packs with specific themes, much like Fluxx. Lastly, the game would benefit from an additional mechanism that distances it from Apples to Apples, as the game is, currently, merely a re-skin of the former.)