research-article

iTour: Making Tourist Maps GPS-Enabled

Authors:

Chih-Hsiang Hsu,

Uyn-Dinh Trân,

Ching-Yu Hsieh,

Chun-Cheng LinAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 1, Issue 4

Article No.: 139, Pages 1 - 27

https://doi.org/10.1145/3161167

Published: 08 January 2018 Publication History

Abstract

Although tourist maps are useful resources for people to visit scenic areas, they are also commonly distorted and omit details according to the purposes and functions of a map. In this paper, we present iTour, a semi-automatic system that turns tourist maps into digital maps. By involving users in matching the road network of a tourist map and the paired standard map, our system computes road network correspondence between the two maps. By doing so, users can navigate on such GPS-enabled tourist maps using mobile devices. This transformation creates the possibility of augmenting a large number of tourist maps with digital map features. To evaluate the performance of matching road networks, we compared the presented semi-automatic interface to a manual interface. The results showed that the semi-automatic interface saved participants significant effort in generating correspondence and was perceived to require significantly less time by the participants. In addition, we conducted a field study of the iTour in comparison to using a tourist map and Google Maps together. Our results showed that iTour helped participants find their way during travel. The participants provided positive feedback on the combination of tourist maps and GPS location because of its highlights of important landmarks, showing users' locations relative to those landmarks, and saving the effort of switching tourist maps and Google Maps.

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Cited By

Chang YYang CKuo YCheng WYang CLin FYeh IHsieh CHsieh CWang Y(2020)TourgetherProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33698323:4(1-25)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.1145/3369832
Zhang JGuo BLi ZLiu YYu ZHan Q(2019)CrowdTravel: Leveraging Cross-Modal CrowdSourced Data for Fine-Grained and Context-Based Travel Route Recommendation2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00175(851-858)Online publication date: Aug-2019
https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00175

Index Terms

iTour: Making Tourist Maps GPS-Enabled
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 1, Issue 4

December 2017

1298 pages

EISSN:2474-9567

DOI:10.1145/3178157

Issue’s Table of Contents

Copyright © 2018 ACM.

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Publication History

Published: 08 January 2018

Accepted: 01 November 2017

Revised: 01 August 2017

Received: 01 February 2017

Published in IMWUT Volume 1, Issue 4

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Cited By

Chang YYang CKuo YCheng WYang CLin FYeh IHsieh CHsieh CWang Y(2020)TourgetherProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33698323:4(1-25)Online publication date: 14-Sep-2020
https://dl.acm.org/doi/10.1145/3369832
Zhang JGuo BLi ZLiu YYu ZHan Q(2019)CrowdTravel: Leveraging Cross-Modal CrowdSourced Data for Fine-Grained and Context-Based Travel Route Recommendation2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00175(851-858)Online publication date: Aug-2019
https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00175

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