{"title":"A Book Without Pages: Developing an Augmented Reality Storyteller Based on Open Web Data","authors":"Panote Siriaraya, Takumi Kiriu, Yukiko Kawai, Shinsuke Nakajima","doi":"10.1109/AIVR46125.2019.00023","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":274566,"journal":{"name":"2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","volume":"236 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIVR46125.2019.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.
在本研究中，我们描述了为开发上下文感知增强现实故事讲述者而进行的研究。该系统允许用户在物理世界中根据其物理位置的空间特征四处走动时，听书籍和小说中的短篇故事。我们收集了来自Open Street Map、Google Street View和Project Gutenberg等来源的大规模开放网络数据，并将其用于实现我们的系统。使用基于词嵌入的建模和自然语言处理技术将故事与物理位置进行匹配。作为一个例子，我们展示了如何实现我们提出的方法，将《伊索寓言》中的故事映射到两个城市(京都和旧金山)的不同位置。
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