CAMAR 2.0: Future Direction of Context-Aware Mobile Augmented Reality

Shin, Choonsung; Lee, Wonwoo; Suh, Youngjung; Yoon, Hyoseok; Lee, Young-Ho; Woo, Woontack

doi:10.1109/isuvr.2009.24

Cited by 10 publications

(6 citation statements)

References 7 publications

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“…The metadata structure ensures the reusability of the AR contents and interoperability of AR applications [11]. Context-Aware Mobile Augmented Reality (CAMAR) also provides contents by integrating contexts based on the 5W1H model and user profiles [12].…”

Section: Vr/ar Metadata Standardmentioning

confidence: 99%

Remote Diagnosis of Architectural Heritage Based on 5W1H Model-Based Metadata in Virtual Reality

Lee

Kim

Ahn

et al. 2019

IJGI

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We propose a framework based on the 5W1H model-based metadata for remote diagnosis in virtual reality (VR). For this purpose, we suggest unique metadata composed of Point of Interest (POI)-extended anchor (xAnchor)-content for a context-aware service in virtual and augmented reality. We define the attributes of the metadata based on the 5W1H context for information retrieval according to the context in a remote diagnosis. Second, we propose the ontology-based linker metadata that express the relations between AR scenes and that retrieve external information. Moreover, we suggest heritage building information metadata for information retrieval according to context. For evaluation, we created a geo-tagged content tool and a remote diagnosis VR application. We conducted focus-group interviews and heuristic evaluations for remote diagnosis in VR to verify the methodology of this study. As a result, we found that experts were most satisfied with the functions that provide the contextualized information. This study contributes to the geospatial metadata for a context-aware service in VR/AR as well as the remote diagnosis framework to overcome the time-consuming problem of the existing remote diagnosis.

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Section: Vr/ar Metadata Standardmentioning

confidence: 99%

Remote Diagnosis of Architectural Heritage Based on 5W1H Model-Based Metadata in Virtual Reality

Lee

Kim

Ahn

et al. 2019

IJGI

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“…In particular, a study on the mobile augmented reality that combines characteristics of the interaction that the augmented reality has with mobile computing that can provides learners with information they need effectively anytime and anywhere [1] and a situated mobile augmented reality research that overcomes the limitation of the technology and can be fused with a ubiquitous computing environment [2][3] have become a catalyst for these changes. Thanks to these technologies, a research on the intelligent agents to provide learners with situated learning depending on the environment they are in has also been actively conducted in the field of education.…”

Section: Introductionmentioning

confidence: 99%

A Intelligent English Situated Learning System based on Signboard Information

Kim¹,

Lee²

2014

IJMUE

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“…Although there is a large body of research on mobile AR [5,8] and visualisations on mobile apps [1,2,6], there appears to be a lack of research regarding the use of visualisation styles and techniques in mobile AR apps. To address this gap, we present the findings from an analysis of current trends in visualising data on mobile AR apps and discuss potential visualisation techniques that could be explored to improve the usability of mobile AR.…”

Section: Introductionmentioning

confidence: 99%

Data Visualisation Trends in Mobile Augmented Reality Applications

Parker

Tomitsch

2014

Proceedings of the 7th International Symposium on Visual Information Communication and Interaction

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According to Google Trends, mobile augmented reality (AR) apps will, after a brief hype-associated peak and decline, show again a more steady growth in the near future. Indeed, a review of currently available mobile AR apps suggests that they are embracing practical uses instead of simply showing off the capabilities of AR. Many of these apps are making information more ubiquitous without making the user necessarily aware of the data's origins, using graphics to represent multiple datasets. There has been however little research focusing on the trends in AR and the types of data visualisations used in mobile AR. The purpose of this paper is to fill that void by presenting an analysis of currently popular mobile AR apps on the market. Our findings from this small-scale investigation give an indication of the types of visualisation styles used in current mobile AR apps and highlight suggestions for how to make the information presented more relevant, for example by using better filtering methods.

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CAMAR 2.0: Future Direction of Context-Aware Mobile Augmented Reality

Abstract: Abstract

Cited by 10 publications

References 7 publications

Remote Diagnosis of Architectural Heritage Based on 5W1H Model-Based Metadata in Virtual Reality

Remote Diagnosis of Architectural Heritage Based on 5W1H Model-Based Metadata in Virtual Reality

A Intelligent English Situated Learning System based on Signboard Information

Data Visualisation Trends in Mobile Augmented Reality Applications

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