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.
@article{arxiv.2306.09817,
title = {INDCOR white paper 4: Evaluation of Interactive Narrative Design For Complexity Representations},
author = {Christian Roth and Breanne Pitt and Lāsma Šķestere and Jonathan Barbara and Agnes Karolina Bakk and Kirsty Dunlop and Maria del Mar Grandio and Miguel Barreda and Despoina Sampatakou and Michael Schlauch},
journal= {arXiv preprint arXiv:2306.09817},
year = {2024}
}
Comments
arXiv admin note: text overlap with arXiv:2010.10135