Designing an Authorable Scenario Representation for Instructor Control over Computationally Tailored Narrative in Training

摘要

Training scenarios, games, and learning environments often use narrative to manipulate motivation, priming, decision context, or other aspects of effective training. Computational representations of scenario narrative are useful for computer planning and real-time tailoring of training content, but typically define how to display narrative in the scenario world. The training rationales and the impacts of narrative on trainees are not typically accessible to the computer. We describe a computational representation that lets instructors explicitly author the training goals and impacts in a narrative. The representation captures both causality in the simulated world and instructional intent. Furthermore the streamlined representation enables nontechnical authoring of sophisticated interactions between instructional goals when a computer tailors training material to individual learners. The narrative representation has the potential to increase instructor acceptance, understanding, and control over computer tailoring, thereby making training more effective.