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.

翻译：尽管交互式数字叙事（IDN）的优势在于支持多视角性，但这对其评估也构成了重大挑战。此外，评估必须同时衡量系统表征复杂现实的能力，以及用户通过与系统交互体验后对该复杂现实的理解程度。这是衡量IDN在表征所选复杂现象时的效率与效能的必要条件。本文介绍了INDCOR成员在其研究中采用的一些实证方法，包括用户体验工具包和量表。特别地，我们探讨了IDN对转化式学习的影响，以及通过自我报告及其他替代方法对其进行的评估。