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A social navigation guide using augmented reality

Authors:

Christophe ClaramuntAuthors Info & Claims

SIGSPATIAL '14: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Pages 541 - 544

https://doi.org/10.1145/2666310.2666364

Published: 04 November 2014 Publication History

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Abstract

Social networks provide rich data sources for analyzing people activities. This paper introduces a mobile recommender system that suggests places to visit to tourists acting in the city of Mexico. The system developed generates itineraries based on the implicit users' behaviors. Recommendations are automatically extracted and analyzed from Twitter thanks to the application of Bayes and Tree algorithms. Suggested itineraries are cross-analyzed to take into account user profiles and preferences. The recommender system provides an augmented reality navigation system that suggests itineraries to the users according to some places of interest. The preliminary prototype developed is an Android app so-called "Turicel Social".

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Cited By

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Cheliotis KLiarokapis FKokla MTomai EPastra KAnastopoulou NBezerianou MDarra AKavouras M(2023)A systematic review of application development in augmented reality navigation researchCartography and Geographic Information Science10.1080/15230406.2023.219403250:3(249-271)Online publication date: 9-May-2023
https://doi.org/10.1080/15230406.2023.2194032
Anastasiou CCosta CChrysanthis PShahabi CZeinalipour-Yazti D(2021)ASTRO: Reducing COVID-19 Exposure through Contact Prediction and AvoidanceACM Transactions on Spatial Algorithms and Systems10.1145/34904928:2(1-31)Online publication date: 30-Dec-2021
https://dl.acm.org/doi/10.1145/3490492
Costa CGe XChrysanthis P(2019)CAPRIOProceedings of the VLDB Endowment10.14778/3352063.335208912:12(1878-1881)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.14778/3352063.3352089
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Index Terms

A social navigation guide using augmented reality
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces
2. Software and its engineering

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Information & Contributors

Information

Published In

SIGSPATIAL '14: Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2014

651 pages

ISBN:9781450331319

DOI:10.1145/2666310

General Chairs:
Yan Huang
University of North Texas
,
Markus Schneider
University of Florida
,
Program Chairs:
Michael Gertz
Heidelberg University, Germany
,
John Krumm
Microsoft Research
,
Jagan Sankaranarayanan
NEC Labs

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 November 2014

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SIGSPATIAL '14

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University of North Texas
Microsoft
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SIGSPATIAL

SIGSPATIAL '14: 22nd SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 4 - 7, 2014

Texas, Dallas

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SIGSPATIAL '14 Paper Acceptance Rate 39 of 184 submissions, 21%;

Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

View all

Cheliotis KLiarokapis FKokla MTomai EPastra KAnastopoulou NBezerianou MDarra AKavouras M(2023)A systematic review of application development in augmented reality navigation researchCartography and Geographic Information Science10.1080/15230406.2023.219403250:3(249-271)Online publication date: 9-May-2023
https://doi.org/10.1080/15230406.2023.2194032
Anastasiou CCosta CChrysanthis PShahabi CZeinalipour-Yazti D(2021)ASTRO: Reducing COVID-19 Exposure through Contact Prediction and AvoidanceACM Transactions on Spatial Algorithms and Systems10.1145/34904928:2(1-31)Online publication date: 30-Dec-2021
https://dl.acm.org/doi/10.1145/3490492
Costa CGe XChrysanthis P(2019)CAPRIOProceedings of the VLDB Endowment10.14778/3352063.335208912:12(1878-1881)Online publication date: 1-Aug-2019
https://dl.acm.org/doi/10.14778/3352063.3352089
Costa CGe XChrysanthis P(2019)CAPRIO: Context-Aware Path Recommendation Exploiting Indoor and Outdoor Information2019 20th IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM.2019.000-7(431-436)Online publication date: Jun-2019
https://doi.org/10.1109/MDM.2019.000-7
Samir MHanie AAboulgheit AHossam KAtia AElMasry N(2018)The Wanderer: Implementing markerless augmented reality with object position awareness2018 First International Workshop on Deep and Representation Learning (IWDRL)10.1109/IWDRL.2018.8358212(31-40)Online publication date: Mar-2018
https://doi.org/10.1109/IWDRL.2018.8358212
Bibiloni ARamis SOliver APerales F(2016)An Augmented Reality and 360-degree Video System to Access Audiovisual Content through Mobile Devices for Touristic ApplicationsApplications and Usability of Interactive TV10.1007/978-3-319-38907-3_5(44-58)Online publication date: 30-Apr-2016
https://doi.org/10.1007/978-3-319-38907-3_5

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Augmented navigation in outdoor environments

Improving augmented reality using recommender systems

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