Generation of Dilemma-Based Narratives: Method and Turing Test Evaluation

Heather Barber, Daniel Kudenko

Research output: Contribution to conferencePaperpeer-review


This paper describes the analysis of the narrative generation aspect of the Generator of Adaptive Dilemma-based Interactive Narratives (GADIN). This system automatically generates narratives that are focused around dilemmas to create dramatic tension. The dilemmas are based on those clichés encountered in many of today’s soap operas. A story planner creates sequences of actions that lead to dilemmas for storyworld characters. A narrative generated by GADIN is compared to that which took place in a television soap opera. The stories were subjected to a Turing-style test, with 127 participants, which showed that the readers could not determine which narrative had been written by a computer.
Original languageUndefined/Unknown
Publication statusPublished - 2008

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