scholarly journals Mobile Augmented Reality and Outdoor Education

2021 ◽  
Vol 47 (2) ◽  
pp. 223-242
Author(s):  
Mattias Arvola ◽  
Inger Edforss Fuchs ◽  
Ingemar Nyman ◽  
Anders Szczepanski
Keyword(s):  
Augmented Reality ◽  
Learning Environment ◽  
Outdoor Education ◽  
Local Environment ◽  
Mobile Augmented Reality ◽  
Student Groups ◽  
Point Of Entry ◽  
Starting Point ◽  
Teachers And Students ◽  
Mobile Ar

This paper describes a research project that explored the use of mobile augmented reality combined with outdoor education in a Swedish primary school. Special attention was paid to mobile augmented reality (AR). Project documentation and communication were reviewed, three iterations of design and usability evaluations of the Minnesmark mobile AR platform was made. Observations and interviews were held with teachers and students. The results describe early experiments, and both the opportunities and challenges that faced the participating teachers. The opportunities included connecting the outdoor learning environment and the indoor learning environment, directing the students' focus, posing questions and affording actions, rendering symbols and timelines visible, providing a point of entry to the context and the narrative, and facilitating conceptualization. Challenges concerned how to make pedagogical use of the landscape, producing or choosing content, structuring processes, setting up student groups, and aligning activities and content with learning objectives. It is concluded that the teachers and the students used the mobile augmented reality to make places in the local environment, outside the classroom, the starting point to increase the authenticity of the teaching.

scholarly journals Rancang Bangun Modul Praktikum Teknik Digital Berbasis Mobile Augmented Reality (AR)

2014 ◽  
Vol 6 (2) ◽  
pp. 83 ◽  
Author(s):  
Elisa Usada
Keyword(s):  
Augmented Reality ◽  
Mobile Augmented Reality ◽  
Mobile Ar

Praktikum merupakan salah satu jenis pembelajaran yang dilaksanakan untuk mengasah keterampilan dan memperdalam pemahaman mahasiswa akan suatu materi, dengan menggunakan peralatan-peralatan praktek. Pelaksanaan praktikum mengacu pada petunjuk praktikum dan modul berisi materi yang akan dipraktekkan. Perkembangan teknologi media belajar memungkinkan modul praktikum untuk dikemas dalam bentuk yang lebih menarik, selain dalam bentuk buku teks konvensional. Media belajar berbasis AR (Augmented Reality) telah digunakan untuk mendukung aplikasi edukasi dalam berbagai domain, seperti sejarah, matematika, dan sebagainya. Penelitian ini bertujuan merancang dan membangun modul praktikum mata kuliah Teknik Digital berbasis mobile AR. Metodologi yang akan digunakan adalah melalui pendekatan prototype dengan langkah-langkah: mengumpulkan dan menganalisa kebutuhan; perancangan; membangun protototype. Hasil dari penelitian ini adalah sebuah prototype modul mata praktikum Teknik Digital berbasis mobile-AR. Prototype yang dihasilkan belum menampilkan model 3D yang lengkap. Sebagai langkah penelitian lanjutan, pembuatan model 3D yang lengkap akan dibuat dan prototype ini harus melalui proses evaluasi oleh konsumen, dilanjutkan dengan perubahan rancangan dan prototype apabila diperlukan, sebelum dibuat dalam skala besar dan diimplementasikan.

scholarly journals VISUALIZATION OF POINT CLOUD MODELS IN MOBILE AUGMENTED REALITY USING CONTINUOUS LEVEL OF DETAIL METHOD

2020 ◽  
Vol XLIV-4/W1-2020 ◽  
pp. 167-170
Author(s):  
L. Zhang ◽  
P. van Oosterom ◽  
H. Liu
Keyword(s):  
Augmented Reality ◽  
Point Cloud ◽  
Cloud Model ◽  
Point Clouds ◽  
Level Of Detail ◽  
Mobile Augmented Reality ◽  
Cloud Models ◽  
Point Cloud Model ◽  
Visual Artifacts ◽  
Mobile Ar

Abstract. Point clouds have become one of the most popular sources of data in geospatial fields due to their availability and flexibility. However, because of the large amount of data and the limited resources of mobile devices, the use of point clouds in mobile Augmented Reality applications is still quite limited. Many current mobile AR applications of point clouds lack fluent interactions with users. In our paper, a cLoD (continuous level-of-detail) method is introduced to filter the number of points to be rendered considerably, together with an adaptive point size rendering strategy, thus improve the rendering performance and remove visual artifacts of mobile AR point cloud applications. Our method uses a cLoD model that has an ideal distribution over LoDs, with which can remove unnecessary points without sudden changes in density as present in the commonly used discrete level-of-detail approaches. Besides, camera position, orientation and distance from the camera to point cloud model is taken into consideration as well. With our method, good interactive visualization of point clouds can be realized in the mobile AR environment, with both nice visual quality and proper resource consumption.

Towards the Integration of Mobile Augmented Reality within an Aluminium Process Fault Detection and Diagnosis System

2013 ◽  
Vol 845 ◽  
pp. 703-707 ◽  
Author(s):  
Abd Majid Nazatul Aini ◽  
Haslina Arshad
Keyword(s):  
Augmented Reality ◽  
Fault Detection ◽  
Fault Detection And Diagnosis ◽  
Industrial Plant ◽  
Mobile Augmented Reality ◽  
Design Quality ◽  
Diagnosis System ◽  
Aluminium Smelting ◽  
Detection And Diagnosis ◽  
Mobile Ar

Mobile Augmented Reality (AR), which mixes the real world and the virtual world on hand-held devices, is a growing area of the manufacturing industry. Since mobile AR can be used to augment a users view of an industry plant, it provides alternative solutions for design, quality control, monitoring and control, service, and maintenance in complex process industries, such as the aluminium smelting industry. The objective of this paper is to discuss the integration of mobile AR within an aluminium industrial plant, in order to achieve effective fault detection and diagnosis. The possible integration of mobile AR within an aluminium fault detection and diagnosis system is shown with regard to four main functions, namely (1) plant information system, (2) fault history, (3) interactive troubleshooting, and (4) statistical analysis results. This paper opens up possible future works, where the potential use of mobile AR can be explored as an additional user interface component, for increasing the effectiveness of process monitoring within the aluminium smelting process.

Examining User Adoption of Mobile Augmented Reality Applications

2018 ◽  
Vol 10 (2) ◽  
pp. 37-49
Author(s):  
Tao Zhou
Keyword(s):  
Augmented Reality ◽  
Perceived Control ◽  
Service Providers ◽  
Successful Implementation ◽  
Mobile Augmented Reality ◽  
Actual Usage ◽  
User Adoption ◽  
Use Of Technology ◽  
Attention Focus ◽  
Mobile Ar

As an emerging service, mobile augmented reality (AR) applications have not received wide adoption among users. This may affect the successful implementation of AR. Integrating both perspectives of the unified theory of acceptance and use of technology (UTAUT) and flow theory, this research examined user adoption of mobile AR applications. The results indicated that performance expectancy and the flow experience consisting of perceived enjoyment, attention focus and perceived control significantly affect usage intention, which in turn affects actual usage behaviour. The results imply that service providers need to improve the perceived utility and user experience in order to facilitate user adoption of mobile AR applications.

scholarly journals Mobile AR: User Evaluation in a Cultural Heritage Context

2019 ◽  
Vol 9 (24) ◽  
pp. 5454
Author(s):  
Anabela Marto ◽  
Alexandrino Gonçalves
Keyword(s):  
Augmented Reality ◽  
Cultural Heritage ◽  
Archaeological Site ◽  
User Evaluation ◽  
Virtual Model ◽  
Mobile Augmented Reality ◽  
Heritage Sites ◽  
Augmented Reality Application ◽  
Mobile Ar

The growing number of mobile augmented reality applications has been favoring its awareness and usage among diversified areas. Focusing on cultural heritage applications, this study presents an evaluation of a mobile augmented reality application tested at Conimbriga, an archaeological site. The prototype developed for this purpose, named DinofelisAR, allowed users to view, over 360 degrees, a majestic reconstruction of a Forum from the Roman Era superimposed over its current ruins. Thus, users were able to keep perceiving the present-day surroundings of a Roman city in ruins while, at the same time, had the possibility to explore the matching virtual model. The results presented, arising from 90 participants involved in this evaluation, praise the sense of opportunity for new augmented reality solutions targeted at cultural heritage sites.

scholarly journals The Potential Educational Value of Mobile Augmented Reality Games: The Case of EduPARK App

2020 ◽  
Vol 10 (10) ◽  
pp. 287 ◽  
Author(s):  
Lúcia Pombo ◽  
Margarida M. Marques
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Basic Education ◽  
Traditional Classroom ◽  
Illustrative Case ◽  
Game Based Learning ◽  
Educational Value ◽  
Teachers And Students ◽  
Mobile Ar ◽  
High Educational

New teaching methodologies are nowadays integrating mobile devices, augmented reality (AR), and game-based learning in educational contexts. The combination of these three elements is considered highly innovative, and it allows learning to move beyond traditional classroom environments to nature spaces that students can physically explore. The literature does not present many studies of this approach’s educational value. The purpose of the study is to present an illustrative case of a mobile AR game in order to analyse its educational value based on the users’ opinion, both teachers and students, and on logs of game results. Through a mixed method approach, the educational value scale was applied to 924 users after playing the EduPARK app in a Green City Park. Results revealed high educational value scores, especially among teachers and students of 2nd and 3rd Cycles of Basic Education (83.0 for both). Hence, this particular software seems to be more suitable for 10–15 years-old students who highlighted motivational features, such as treasure hunting, points gathering, the use of mobile devices in nature settings, and AR features to learn. This study empirically revealed that mobile AR games have educational value, so these specific game features might be useful for those who are interested in creating or using games supported by apps for educational purposes.

scholarly journals Continuance use intention with mobile augmented reality games

2019 ◽  
Vol 33 (1) ◽  
pp. 37-55 ◽  
Author(s):  
Seongsoo Jang ◽  
Yi Liu
Keyword(s):  
Augmented Reality ◽  
Least Squares Method ◽  
User Behavior ◽  
Early Stage ◽  
Maturity Stage ◽  
Mobile Augmented Reality ◽  
Content Type ◽  
Multigroup Analysis ◽  
Pokémon Go ◽  
Mobile Ar

Purpose As mobile augmented reality (AR) games enter the maturity stage, understanding how to improve players’ continuance use intention with mobile AR games is critical. Drawing upon the uses and gratifications (U&G) theory, the purpose of this paper is to investigate the effects of four major gratifications – content, process, social and technology – and other factors on continuance intention to play mobile AR games. Design/methodology/approach Data collected from 280 Pokémon Go players were used to address research questions. Partial least squares method was employed to assess the relationships in the model and multigroup analysis was conducted based on survey participants’ demographics and their gaming experience. Findings Content gratification (i.e. catching Pokémon), process gratification (i.e. entertainment), game knowledge and achievement drive players’ continuance use intention. However, social and technology gratifications do not influence players’ continuance use intention. Multigroup analysis suggests that mobile AR game developers should capitalize on the fact that different types of gratifications prompt continuance use intention of different user segments in terms of demographics and experience in general mobile games and Pokémon Go. Originality/value The user behavior of mobile AR games has been studied at the early stage of the games, with less attention to variable continuance use intentions across different user segments. This paper attempts to fill the gap by extending the U&G theory to continuance use intention of mobile AR games at the maturity stage and further investigating the importance of player heterogeneity in continuance use intention with mobile AR games. The findings of this study contribute to the literature on U&G, continuance use intention and mobile AR games.

scholarly journals Edge-assisted Collaborative Image Recognition for Mobile Augmented Reality

2022 ◽  
Vol 18 (1) ◽  
pp. 1-31
Author(s):  
Guohao Lan ◽  
Zida Liu ◽  
Yunfan Zhang ◽  
Tim Scargill ◽  
Jovan Stojkovic ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Image Recognition ◽  
Large Scale ◽  
Data Augmentation ◽  
Recognition Accuracy ◽  
Image Distortion ◽  
Mobile Augmented Reality ◽  
The Real ◽  
In The Wild ◽  
Mobile Ar

Mobile Augmented Reality (AR), which overlays digital content on the real-world scenes surrounding a user, is bringing immersive interactive experiences where the real and virtual worlds are tightly coupled. To enable seamless and precise AR experiences, an image recognition system that can accurately recognize the object in the camera view with low system latency is required. However, due to the pervasiveness and severity of image distortions, an effective and robust image recognition solution for “in the wild” mobile AR is still elusive. In this article, we present CollabAR, an edge-assisted system that provides distortion-tolerant image recognition for mobile AR with imperceptible system latency . CollabAR incorporates both distortion-tolerant and collaborative image recognition modules in its design. The former enables distortion-adaptive image recognition to improve the robustness against image distortions, while the latter exploits the spatial-temporal correlation among mobile AR users to improve recognition accuracy. Moreover, as it is difficult to collect a large-scale image distortion dataset, we propose a Cycle-Consistent Generative Adversarial Network-based data augmentation method to synthesize realistic image distortion. Our evaluation demonstrates that CollabAR achieves over 85% recognition accuracy for “in the wild” images with severe distortions, while reducing the end-to-end system latency to as low as 18.2 ms.

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