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Engagement in Interactive Digital Storytelling: Sampling Without Spoiling

Published in Entertainment Computing – ICEC 2018. Cham: Springer International Publishing. 2018
Collection Lecture Notes in Computer Science; 11112
Abstract 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.
Keywords Interactive Digital StorytellingEvaluationEngagementContinuation DesireDisruptivenessReplayabilityUser research
ISBN: 978-3-319-99425-3
Full text
Research group Technologies de formation et d'apprentissage (TECFA)
Swiss National Science Foundation: 159605
(ISO format)
ESTUPINAN VESGA, Sergio, ANDKJAER, Kasper Ingdahl, SZILAS, Nicolas. Engagement in Interactive Digital Storytelling: Sampling Without Spoiling. In: Entertainment Computing – ICEC 2018. Cham : Springer International Publishing, 2018. (Lecture Notes in Computer Science; 11112) doi: 10.1007/978-3-319-99426-0_25 https://archive-ouverte.unige.ch/unige:111569

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Deposited on : 2018-11-28

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