Evaluation of a campus navigation application using an AR character guide

Yamato Kuwahara, Hung ya Tsai, Yuya Ieiri, Reiko Hishiyama

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

Abstract

In recent years, many studies have been conducted to realize easy route navigation for pedestrians using augmented reality (AR). Many of these studies use methods where the direction or sign is indicated using AR. However, only a few have focused on using AR for route navigation to follow. Our research aims to realize easy route navigation using an AR character agent. We develop a navigation application wherein the user follows an AR character agent. We evaluate it from the behavior of the user. For that purpose, we conduct an experiment at a university festival using the navigation application. We then analyze the experimental data and questionnaire responses. The results show that route navigation by the AR character agent makes route identification easy. However, problems involving many participants feeling uneasy or being lost are encountered. Problems in accuracy caused by errors in the positional information are also observed. In future, a method to indicate directions more accurately must be considered.

Original languageEnglish
Title of host publicationCollaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings
EditorsHideyuki Nakanishi, Hironori Egi, Irene-Angelica Chounta, Hideyuki Takada, Satoshi Ichimura, Ulrich Hoppe
PublisherSpringer-Verlag
Pages242-250
Number of pages9
ISBN (Print)9783030280109
DOIs
Publication statusPublished - 2019 Jan 1
Event25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019 - Kyoto, Japan
Duration: 2019 Sep 42019 Sep 6

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11677 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019
CountryJapan
CityKyoto
Period19/9/419/9/6

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Keywords

  • A context-aware AR navigation system
  • Human wayfinding performance
  • Human–agent interaction
  • Interactive behavior

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kuwahara, Y., Tsai, H. Y., Ieiri, Y., & Hishiyama, R. (2019). Evaluation of a campus navigation application using an AR character guide. In H. Nakanishi, H. Egi, I-A. Chounta, H. Takada, S. Ichimura, & U. Hoppe (Eds.), Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings (pp. 242-250). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11677 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-28011-6_18