GIST Scientists Develop Model that Adjusts Videogame Difficulty Based on Player Emotions
GWANGJU, South Korea, Sept. 6, 2022 /PRNewswire/ -- Appropriately balancing a videogame's difficulty is essential to provide players with a pleasant experience. In a recent study, Korean scientists developed a novel approach for dynamic difficulty adjustment where the players' emotions are estimated using in-game data, and the difficulty level is tweaked accordingly to maximize player satisfaction. Their efforts could contribute to balancing the difficulty of games and making them more appealing to all types of players.
- In a recent study, Korean scientists developed a novel approach for dynamic difficulty adjustment where the players' emotions are estimated using in-game data, and the difficulty level is tweaked accordingly to maximize player satisfaction.
- Their efforts could contribute to balancing the difficulty of games and making them more appealing to all types of players.
- The idea of DDA is to adjust the difficulty of a game in real-time according to player performance.
- For example, if player performance exceeds the developer's expectations for a given difficulty level, the game's DDA agent can automatically raise the difficulty to increase the challenge presented to the player.