Reversing The Twenty Questions Game
This work addresses a novel twist on a popular game for human-computer interaction, but it appears incremental as it adapts existing methods to a reversed scenario.
The researchers tackled the problem of reversing the Twenty Questions game by having the computer select an entity and the human guess it using natural language queries, with the computer parsing these queries using a boolean question answering model, resulting in a system that enables this reversed gameplay.
Twenty questions is a widely popular verbal game. In recent years, many computerized versions of this game have been developed in which a user thinks of an entity and a computer attempts to guess this entity by asking a series of boolean-type (yes/no) questions. In this research, we aim to reverse this game by making the computer choose an entity at random. The human aims to guess this entity by quizzing the computer with natural language queries which the computer will then attempt to parse using a boolean question answering model. The game ends when the human is successfully able to guess the entity of the computer's choice.