INDCOR white paper 4: Evaluation of Interactive Narrative Design For Complexity Representations

June 16, 2023 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Christian Roth, Breanne Pitt, Lāsma Šķestere, Jonathan Barbara, Agnes Karolina Bakk, Kirsty Dunlop, Maria del Mar Grandio, Miguel Barreda, Despoina Sampatakou, Michael Schlauch arXiv ID 2306.09817 Category cs.HC: Human-Computer Interaction Cross-listed cs.MM Citations 2 Venue arXiv.org Last Checked 4 months ago
Abstract
While a strength of Interactive Digital Narratives (IDN) is its support for multiperspectivity, this also poses a substantial challenge to its evaluation. Moreover, evaluation has to assess the system's ability to represent a complex reality as well as the user's understanding of that complex reality as a result of the experience of interacting with the system. This is needed to measure an IDN's efficiency and effectiveness in representing the chosen complex phenomenon. We here present some empirical methods employed by INDCOR members in their research including UX toolkits and scales. Particularly, we consider the impact of IDN on transformative learning and its evaluation through self-reporting and other alternatives.
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