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The Moody Mask Model

A Hybrid Model for Creating Dynamic Personal Interactions in an Interactive Setting

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9445))

Abstract

This paper proposes a new relation model, called “The Moody Mask model”, for Interactive Digital Storytelling (IDS), based on Franceso Osborne’s “Mask Model” from 2011. This, mixed with some elements from Chris Crawford’s Personality Models, is a system designed for dynamic interaction between characters in an interactive setting. The system was evaluated with a quantitative study investigating the impact of interactivity, with some open-ended questions for qualitative analysis. Furthermore, it was compared with other IDS applications, using the common evaluation method “UxTool”. We found that the Moody Mask model was not significantly improved by adding interactivity, except in a few logical areas. It also performed worse than other IDS applications in all areas. The participants reported issues with the lack of feedback from direct actions, repetitive actions, and problems with the story scenario and UI. With these issues solved, though, there are indications that this model might have potential.

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Notes

  1. 1.

    The current implementation of the Bungaric Society can be seen in Fig. 1, and can also be played through this link: http://chronologist.itch.io/bungaricsociety.

  2. 2.

    All participants are referred to as “I” or “N”, signifying whether they belonged to the Interactive (experimental) or Non-interactive (control) group, followed by an identifying number.

  3. 3.

    A short description about the characters, initial motivations, etc. was given to players when they started playing. However, this was kept loose to allow players to interpret the characters as they wanted.

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Correspondence to Kasper Ingdahl Andkjær .

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Larsen, B.A., Andkjær, K.I., Schoenau-Fog, H. (2015). The Moody Mask Model. In: Schoenau-Fog, H., Bruni, L., Louchart, S., Baceviciute, S. (eds) Interactive Storytelling. ICIDS 2015. Lecture Notes in Computer Science(), vol 9445. Springer, Cham. https://doi.org/10.1007/978-3-319-27036-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-27036-4_7

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