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Engagement in Interactive Digital Storytelling: Sampling Without Spoiling

机译:参与互动式数字叙事:无损采样

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Interactive Digital Storytelling (IDS) enables users to influence the unfolding of a story at the plot level using Artificial Intelligence techniques for generating and balancing narrative paths on the fly. Despite their promise, most IDS systems are still unable to consistently deliver engaging user experiences. To further understand the characteristics of this new media, particularly user engagement, we apply the concept of Continuation Desire to an existing Interactive Narrative to dynamically sample engagement during a play session. We use a comparative study to assess the effects of interrupting users during gameplay. This study found no evidence that, if done properly, interrupting the experience spoils it. We find no significant impact on the desire to play again as a result of introducing interruptions either.
机译:交互式数字故事讲述(IDS)使用户能够使用人工智能技术动态地生成和平衡叙述路径,从而在情节级别上影响故事的展开。尽管做出了承诺,但大多数IDS系统仍无法始终如一地提供引人入胜的用户体验。为了进一步了解这种新媒体的特性,尤其是用户参与度,我们将“持续欲望”的概念应用于现有的交互式叙事中,以便在播放过程中动态采样参与度。我们使用一项比较研究来评估在游戏过程中打断用户的影响。这项研究没有证据表明,如果做得正确,中断体验会破坏体验。我们也发现由于引入中断而对再次比赛的愿望没有重大影响。

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