A Book Without Pages: Developing an Augmented Reality Storyteller Based on Open Web Data

In this study, we describe research carried out to develop a context aware augmented reality storyteller. The system allows users to listen to short stories from books and novels as they move around in the physical world based on the spatial characteristics of their physical location. Large-Scale Open web data from sources such as Open Street Map, Google Street View and Project Gutenberg were collected and used to implement our system. Word embedding based modeling and Natural Language Processing techniques were used to match the stories with the physical locations. As an example, we show how our proposed approach could be implemented to map stories from Aesop's Fables to different locations in two cities, Kyoto and San Francisco.