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2022 | OriginalPaper | Chapter

Developing and Evaluating Virtual Heiankyō AR

Authors : Keiji Yano, Satoshi Imamura, Dai Kawahara, Yousuke Shimomura, Osamu Furukawa

Published in: Ubiquitous Mapping

Publisher: Springer Nature Singapore

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Abstract

GIS and geographic information science (GISc) have advanced at breakneck speed in the past 20 years evidenced by the growing popularity of 3D GIS maps. There is also growing interest in the construction of 3D urban models that can be integrated with virtual reality (VR) and augmented reality (AR) technologies and applied in many sectors, including tourism. Using Virtual Heiankyō as a basis, an app we previously developed as part of the Virtual Kyoto project, we developed a new and unique VR and AR-driven smartphone app called Virtual Heiankyō AR. This app recreates the historic cityscape of Heian-kyō. We explore the app’s potential and user sentiment towards Virtual Heian-kyo AR by analysing app performance metrics, online articles, and social media commentary. We consider how the app differs from existing maps, the new value it potentially offers, and the issues to be addressed. The results suggest that the app could serve as a tool for VR and AR maps and a new type of mapping technology with novel application of VR and AR. This technology could be applied to evaluate maps or generate cartographic, geospatial data. We consider that this combination of mapping technologies could be applied to many industries, such as tourism and urban planning.

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Footnotes
1
The primary sources were from 13 news sites: ITmedia, MoguraVR, Keitai Watch, Techable, University Journal Online, Ritsumei University, Dot Apps, Hotondo 0-yen Daigaku, Vsmedia, SocialGameInfo, Newssalt, XR-Hub, and Kyoto Shimbun.
 
2
For a quantitative analysis, Japanese sentences must be segmented at a word level so that matching words are counted.
 
3
For quantitative analysis, we divided the Japanese sentences into word units so that they can be aggregated as the same word.
 
4
While we omitted the details from this paper, we did attempt multiple cluster analyses, each with a different configuration. For example, we attempted an analysis on only those words with a term frequency of no less than 15 (the top-40 words in Table 8), an analysis in which we specified the number of clusters as five, and one in which we specified the number of clusters as eight. In each case, the resulting clusters were generally similar to clusters 1, 2, 3, 4, and 5.
 
5
There are some AR-driven apps that provide 3D immersion to some extent, but they are few. Examples of such apps include Himeji-jō Daihakken AR Apuri (Himeji City, CAD Center), Bācharu Asuka-kyō (Asuka-mura, University of Tokyo, Asukarabo), Edo-jō Tenshukaku to Nihonbashi Fukugen 3D Tsuā (Kinki Nippon Tourist), Teku-Teku-Teku (Dwango), Horogurafikku Manshon Byūā (Nomura Holdings, Prime X, Nextscape), and, more recently, a viewer app for HoloLens. As these apps illustrate, when developing an app that provides 3D content with reasonable geospatial coverage and resolution, it is typical to use a combination of AR and VR. Generally, AR is used for buildings and VR for the terrestrial surface and backgrounds. Because AR uses 3D models, the extent of AR’s geospatial coverage will depend on how well the app can process the 3D data. In addition to the examples listed above, there are many AR-driven apps that feature only a single 3D object depicting a historic castle or other historic structure, so that visitors to the sites can experience the structure as it once stood. Examples include Go! Go! Shidami Kofun-gun (Nagoya City, Xeen), AR Nagaoka-kyū (Muko City, Xeen), and AR Naniwa-kyū (Naniwa Kasseika Jikkō Iinkai, Sunwell).
 
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Metadata
Title
Developing and Evaluating Virtual Heiankyō AR
Authors
Keiji Yano
Satoshi Imamura
Dai Kawahara
Yousuke Shimomura
Osamu Furukawa
Copyright Year
2022
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-1536-9_3