IDEAS home Printed from https://ideas.repec.org/a/igg/jdst00/v11y2020i4p1-22.html
   My bibliography  Save this article

Implementation and Evaluation of Local Knowledge Inheritance System

Author

Listed:
  • Tomoyuki Ishida

    (Fukuoka Institute of Technology, Fukuoka, Japan)

  • Hayato Ito

    (Ibaraki University, Mito, Japan)

Abstract

In this study, we implemented and evaluated a local knowledge inheritance system using old maps and location-based augmented reality (AR) technology. This system is comprised of a mobile local knowledge inheritance application and a local knowledge inheritance data management system. This system provides local knowledge to users using a map axis and location-based AR on mobile terminals. The map axis clarifies the relevance associated with the times and themes in local knowledge. We conducted an evaluation experiment with 47 local residents. The results confirm the effectiveness of the system relative to improving understanding of local knowledge and the effectiveness of using museum materials.

Suggested Citation

  • Tomoyuki Ishida & Hayato Ito, 2020. "Implementation and Evaluation of Local Knowledge Inheritance System," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 11(4), pages 1-22, October.
  • Handle: RePEc:igg:jdst00:v:11:y:2020:i:4:p:1-22
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDST.2020100101
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jdst00:v:11:y:2020:i:4:p:1-22. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.