Toyama de Walking: Practice of Location-Based Data Collection Using Augmented Reality Applications

Yuya Ieiri, Hung Ya Tsai, Reiko Hishiyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Location-based data is used in a wide variety of applications and can be collected using various methods. Besides these methods, it is expected that a method to collect location-based data by walking applications using augmented reality (AR) will be common in the future. AR has the nature that encourages users to collaborate with the real world, and it is supposed to help collect location-based data about the atmosphere and quality of the city. However, the features of the location-based data collected by walking applications using AR have not yet been revealed. Clarifying the features is important to grasp the position of the collection method using AR. Therefore, we developed an AR walking application “Toyama de Walking” for collecting location-based data and conducted a demonstration experiment using the application. As a result, the features of the location-based data collected by walking applications using AR were revealed.

Original languageEnglish
Title of host publicationICT Systems and Sustainability - Proceedings of ICT4SD 2020
EditorsMilan Tuba, Shyam Akashe, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages805-813
Number of pages9
ISBN (Print)9789811582882
DOIs
Publication statusPublished - 2021
Event5th International Conference on ICT for Sustainable Development, ICT4SD 2020 - Panaji, India
Duration: 2020 Jul 232020 Jul 24

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1270
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference5th International Conference on ICT for Sustainable Development, ICT4SD 2020
CountryIndia
CityPanaji
Period20/7/2320/7/24

Keywords

  • Augmented reality
  • Location-based data
  • User behavior analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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