TY - GEN
T1 - Evaluation of a campus navigation application using an AR character guide
AU - Kuwahara, Yamato
AU - Tsai, Hung ya
AU - Ieiri, Yuya
AU - Hishiyama, Reiko
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
KW - A context-aware AR navigation system
KW - Human wayfinding performance
KW - Human–agent interaction
KW - Interactive behavior
UR - http://www.scopus.com/inward/record.url?scp=85072873293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072873293&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-28011-6_18
DO - 10.1007/978-3-030-28011-6_18
M3 - Conference contribution
AN - SCOPUS:85072873293
SN - 9783030280109
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 242
EP - 250
BT - Collaboration Technologies and Social Computing - 25th International Conference, CRIWG+CollabTech 2019, Proceedings
A2 - Nakanishi, Hideyuki
A2 - Egi, Hironori
A2 - Chounta, Irene-Angelica
A2 - Takada, Hideyuki
A2 - Ichimura, Satoshi
A2 - Hoppe, Ulrich
PB - Springer-Verlag
T2 - 25th International Conference on Collaboration Technologies and Social Computing, CRIWG+CollabTech 2019
Y2 - 4 September 2019 through 6 September 2019
ER -