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- WorkshopbeitragEffective Toxicity Prediction in Online Multiplayer Gaming: Four Obstacles to Making Approaches Usable(Mensch und Computer 2022 - Workshopband, 2022) Frommel, Julian; Mandryk, ReganToxicity represents a threat to the safety and health of online multiplayer gaming communities. This has been recognized by industry, academia, and players and led to efforts for combating toxicity, including different approaches for predicting toxicity from behaviour. Despite promising results, such approaches have not yet been able to meaningfully combat toxicity at scale. In this position paper, we describe four obstacles that impede usable applied toxicity prediction in multiplayer games that could help to combat harm.We want to foster a discussion about how user-centered artificial intelligence approaches may help solve these obstacles.
- KonferenzbeitragThe Mood Game - How to use the player’s affective state in a shoot’em up avoiding frustration and boredom(Mensch und Computer 2019 - Tagungsband, 2019) Halbhuber, David; Fehle, Jakob; Kalus, Alexander; Seitz, Konstantin; Kocur, Martin; Schmidt, Thomas; Wolff, ChristianIn this demo paper, we present a shoot'em up game similar to Space Invaders called the "Mood Game" that incorporates players' affective state into the game mechanics in order to enhance the gaming experience and avoid undesired emotions like frustration and boredom. By tracking emotions through facial expressions combined with self-evaluation, keystrokes and performance measures, we have developed a game logic that adapts the playing difficulty based on the player's emotional state. The implemented game AI automatically adjusts the enemy spawn rate and enemy behavior, the amount of obstacles, the number and type of power ups and the game speed to provide a smooth game play for different player skills. The effects of our dynamic game balancing mechanism will be tested in future work.