Abstract
We present results from a user study of the Reading Glove version 2.0, a combination wearable and tabletop interactive narrative system. The system was designed to study user perceptions of adaptivity. The system’s reasoning engine guides users through the story using three different recommendation modes: random recommendations, story content-based recommendations, and user model based recommendations. We look at the differences in user behaviour and experience across the three recommendation systems, using information from system logs and user surveys and interviews.
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Tanenbaum, K., Hatala, M., Tanenbaum, T.J. (2011). User Perceptions of Adaptivity in an Interactive Narrative. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds) User Modeling, Adaption and Personalization. UMAP 2011. Lecture Notes in Computer Science, vol 6787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22362-4_36
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DOI: https://doi.org/10.1007/978-3-642-22362-4_36
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