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 Mobile augmented reality applications for construction projects

2018 ◽  
Vol 18 (2) ◽  
pp. 152-166 ◽  
Author(s):  
Mohamed Zaher ◽  
David Greenwood ◽  
Mohamed Marzouk
Keyword(s):  
Augmented Reality ◽  
Construction Projects ◽  
Mobile Augmented Reality ◽  
Earned Value ◽  
Building Information Modelling ◽  
Content Type ◽  
Building Information ◽  
Mobile Ar ◽  
Tracking Time ◽  
Cost Parameters

Purpose The purpose of this paper is to facilitate the process of monitoring construction projects. Classic practice for construction progress tracking relies on paper reports, which entails a serious amount of manual data collection as well as the effort of imagining the actual progress from the paperwork. Design/methodology/approach This paper presents a new methodology for monitoring construction progress using smartphones. This is done by proposing a new system consisting of a newly-developed application named “BIM-U” and a mobile augmented reality (AR) channel named “BIM-Phase”. “BIM-U” is an Android application that allows the end-user to update the progress of activities onsite. These data are used to update the project’s 4D model enhanced with different cost parameters such as earned value, actual cost and planned value. The “BIM-Phase” application is a mobile AR channel that is used during construction phase through implementing a 4D “as-planned” phased model integrated with an augmented video showing real or planned progress. Findings The results from the project are then analysed and assessed to anticipate the potential of these and similar techniques for tracking time and cost on construction projects. Originality/value The proposed system through “BIM-U” and “BIM Phase” exploits the potential of mobile applications and AR in construction through the use of handheld mobile devices to offer new possibilities for measuring and monitoring work progress using building information modelling.

Mobile augmented reality (MAR) game as a travel guide: insights from Pokémon GO

2017 ◽  
Vol 8 (1) ◽  
pp. 55-72 ◽  
Author(s):  
Ajay Aluri
Keyword(s):  
Social Media ◽  
Augmented Reality ◽  
Real World ◽  
Target Population ◽  
Tourism Industry ◽  
Mobile Augmented Reality ◽  
Snowball Sampling ◽  
Content Type ◽  
Travel Guide ◽  
Pokémon Go

Purpose The purpose of this study is to examine the aspects of the Pokémon GO game that influenced travelers to use the app, and to pinpoint aspects of the mobile augmented reality (MAR) game that can memorably engage with them like a travel guide and influence individual traveler experience during and after usage. This current study specifically focused on examining the behavioral intentions to use the MAR app as a travel guide in the future. Design/methodology/approach Descriptive methods were used, with a target population for this study consisting of smartphone users who had downloaded Pokémon GO and had played the game. An exponential non-discriminative sample, snowball sampling method, was chosen by selecting a group of respondents who have played the game and using those to help identify other respondents in the target population who have played the game. A 15-item survey instrument drawing from industry insights and academic literature was created for the purpose of the study. Findings The number of downloads, length of usage and frequency of game play declined between the months of July and September. However, a 71 per cent majority of surveyed respondents still had the app on their smartphone at the time of the study. The Pokémon GO app offered all four realms of experiences – educational, entertainment, esthetic and escapist – and enhanced the overall user experience. This study revealed that a majority (77 per cent) of the respondents would be interested in using Pokémon GO as a travel guide. Furthermore, a majority (73 per cent) of respondents stated that they would be interested in using an MAR game as a travel guide in the future. Research limitations/implications For all its interaction with the real world, Pokémon GO is still just an early version of an MAR app, and does not offer a fully immersive and interactive AR experience. The study used snowball sampling due to its exploratory and may not be able to guarantee the representative nature of the sample. Concerning the research method used, such methods were necessary for a review of an existing MAR app as a travel guide to further fill some gaps in literature. Practical implications This study bridged the gap between theory and practice by offering key insights specifically into customers’ intentions to use the Pokémon GO game or other customized MAR game as a travel guide in the hospitality and tourism industry. Pokémon GO and similar MAR games could potentially change the way destinations are marketed in the tourism industry. This current study pinpointed five exploitable qualities of MAR technology and how hospitality and tourism businesses can use them to tap into this new global and social phenomenon. Social implications Pokémon GO and similar MAR games bring people together. In fact, unlike social media, where users are spending significant amounts of time just browsing without posting or interacting with others, MAR games create face-to-face interactions. MAR games enhance real-life social interaction, which might signify a social media trend back toward real world networking and meeting with friends. Originality/value Since the early 2000s, several qualitative and a few quantitative studies have been done to explore (MAR) applications as a travel guide; however, none of them have reviewed a MAR game app that can be offered as a travel guide. That makes this a pioneer study, investigating an existing MAR app that was not created with this use in mind and examining the intentions to use it as a travel guide.

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.

An epistemological assessment of learning nutritional information with augmented reality

2019 ◽  
Vol 37 (2) ◽  
pp. 210-224
Author(s):  
Lih-Juan ChanLin ◽  
Kung-Chi Chan ◽  
Chiao-Ru Wang
Keyword(s):  
Information System ◽  
Augmented Reality ◽  
Information Needs ◽  
Learning Context ◽  
Content Type ◽  
Nutritional Information ◽  
Dietary Knowledge ◽  
Dietary Behaviours ◽  
Short Period ◽  
Mobile Ar

PurposeThis study aims to investigate whether epistemological assessment is a suitable approach to evaluate students’ learning of dietary knowledge via the use of an augmented reality (AR) information system. Students’ perceived dietary knowledge was compared before and after learning with the AR system. Two major questions were addressed: Did students improve their understanding of dietary knowledge after the use of AR information system? Did students gain more appropriate understanding of dietary knowledge after the use of AR information system?Design/methodology/approachA mixed-methods approach was used in the study. The mobile AR system was used among 65 volunteered non-nutrition-major college students recruited in campus. For promoting epistemological development of personal dietary knowledge, students practiced with life experiences to access daily dietary information. Pre- and post-tests of students’ understanding of dietary knowledge were compared. Interviews with 20 students were used for gathering in-depth research data to analyse students’ epistemological understanding of dietary knowledge.FindingsThe epistemological assessment indicated an improvement in learning after the use of the AR system. Students gradually gained awareness of dietary knowledge and changed their perceptions of their dietary behaviours. Epistemological approaches to the analysis of students’ conceptual change in dietary knowledge revealed a significant increase in the mean nutritional concepts (p< 0.01) and a decrease in their mean misconceptions (p< 0.001) after learning via the mobile nutrition monitoring system. Learning assessment of 65 students also indicated a significant increase from the post-test after learning with the system (p< 0.0001).Research limitations/implicationsThis study might have its limitations, as it only assessed learning using a pretest-posttest design for a specific learning context over a short period of learning time. The use of interviews based on the epistemological approach might have its limitations in the interpretations of the phenomenon. Future implementations can also be extended to different populations to promote self-monitoring dietary behaviours.Originality/valueThe findings of this study will contribute to the application of AR in learning about dietary knowledge. The research involving in-depth observation of students’ learning relevant to personal nutritional information needs via mobile AR might provide potential contributions to dietitian professionals and health education.

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 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.

Sign in / Sign up

Export Citation Format

Share Document