INDCOR white paper 4: Evaluation of Interactive Narrative Design For Complexity Representations
June 16, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Christian Roth, Breanne Pitt, LΔsma Ε Δ·estere, 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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