Engagement in Interactive Digital Storytelling: Sampling Without Spoiling

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.

When Did I Lose Them? Using Process Mining to Study User Engagement in Interactive Digital Narratives

“…A payment of £1.50 was proposed in exchange for their 20-minutes participation. We modified the existing IDN system Nothing for Dinner to sample for Continuation Desire at three stages according to a dynamic triggering algorithm using a gamecoherent look-and-feel interface that we presented in [10].…”