Natural Language Interfaces in Computer Games : A study of NLI accuracy in Risk

Sammanfattning: Developing a Natural Language Interface that can understand everything is a very challenging task due to the varied and ambiguous nature of natural language. However, when confined to a small setting, would it be possible to develop an NLI that through repeated iterations can reach perfect understanding? The chosen setting was Risk and was created in Java. The game used Regex to detect certain key elements in the input and interpreted them accordingly. User studies were used to determine the accuracy of the NLI and based on the incorrectly interpreted input the game was improved upon. This was iterated three times. The conclusion was that, while it would be difficult to have the NLI reach a completely perfect understanding, it is possible to achieve precision close to that.