The article "Designing Games With A Purpose" by Luis von Ahn and Laura Dabbish explores the concept of "Games with a Purpose" (GWAPs), which are games designed to solve computational problems and train AI algorithms. The authors argue that human brainpower, which is often wasted on entertainment, can be harnessed to perform tasks that computers struggle with. They present three general game templates—output-agreement games, inversion-problem games, and input-agreement games—and provide design principles to ensure player enjoyment and output accuracy. The ESP Game, Peekaboom, Phetch, and Verbosity are examples of successful GWAPs. The article also discusses metrics for evaluating GWAPs, such as throughput, average lifetime play, and expected contribution, and highlights the potential of GWAPs in advancing AI and machine learning.The article "Designing Games With A Purpose" by Luis von Ahn and Laura Dabbish explores the concept of "Games with a Purpose" (GWAPs), which are games designed to solve computational problems and train AI algorithms. The authors argue that human brainpower, which is often wasted on entertainment, can be harnessed to perform tasks that computers struggle with. They present three general game templates—output-agreement games, inversion-problem games, and input-agreement games—and provide design principles to ensure player enjoyment and output accuracy. The ESP Game, Peekaboom, Phetch, and Verbosity are examples of successful GWAPs. The article also discusses metrics for evaluating GWAPs, such as throughput, average lifetime play, and expected contribution, and highlights the potential of GWAPs in advancing AI and machine learning.