scholarly journals Personalized Augmented Reality Based Tourism System: Big Data and User Demographic Contexts

2021 ◽  
Vol 11 (13) ◽  
pp. 6047
Author(s):  
Soheil Rezaee ◽  
Abolghasem Sadeghi-Niaraki ◽  
Maryam Shakeri ◽  
Soo-Mi Choi

A lack of required data resources is one of the challenges of accepting the Augmented Reality (AR) to provide the right services to the users, whereas the amount of spatial information produced by people is increasing daily. This research aims to design a personalized AR that is based on a tourist system that retrieves the big data according to the users’ demographic contexts in order to enrich the AR data source in tourism. This research is conducted in two main steps. First, the type of the tourist attraction where the users interest is predicted according to the user demographic contexts, which include age, gender, and education level, by using a machine learning method. Second, the correct data for the user are extracted from the big data by considering time, distance, popularity, and the neighborhood of the tourist places, by using the VIKOR and SWAR decision making methods. By about 6%, the results show better performance of the decision tree by predicting the type of tourist attraction, when compared to the SVM method. In addition, the results of the user study of the system show the overall satisfaction of the participants in terms of the ease-of-use, which is about 55%, and in terms of the systems usefulness, about 56%.

Author(s):  
Danny C. Barbery-Montoya ◽  
César A. Vélez Del Hierro ◽  
Nathaly Y. Arroba-Hurtado

Smart cities are a new scheme for urban planning and management, in which smart destinations become key points for tourist attraction. The objective of the present study is to determine through the theoretical review, the most appropriate technological tools to be used in fairs and turn them into smart spaces. The Raíces International Gastronomic Fair of the city of Guayaquil and its satisfaction / dissatisfaction indexes are taken as an example case in order to propose a technological management system that improves its performance, in which the use of Big Data, georeferencing, IoT, and augmented reality are key pieces to guarantee the security, experience, and promotion of the event.


2018 ◽  
Vol 2 (3) ◽  
pp. 20
Author(s):  
Gabriel de A. Pereira ◽  
João Bravo ◽  
Jorge Centeno

Recent technological advancements in many areas have changed the way that individuals interact with the world. Some daily tasks require visualization skills, especially when in a map-reading context. Augmented Reality systems could provide substantial improvement to geovisualization once it enhances a real scene with virtual information. However, relatively little research has worked on assessing the effective contribution of such systems during map reading. So, this research aims to provide a first look into the usability of an Augmented Reality system prototype for interaction with geoinformation. For this purpose, we have designed an activity with volunteers in order to assess the system prototype usability. We have interviewed 14 users (three experts and 11 non-experts), where experts were subjects with the following characteristics: a professor; with a PhD degree in Cartography, GIS, Geography, or Environmental Sciences/Water Resources; and with experience treating spatial information related to water resources. The activity aimed to detect where the system really helps the user to interpret a hydrographic map and how the users were helped by the Augmented Reality system prototype. We may conclude that the Augmented Reality system was helpful to the users during the map reading, as well as allowing the construction of spatial knowledge within the proposed scenario.


Author(s):  
Roman A. Babkin ◽  

The era of "Big data" and the emergence of new sources of geo-information, including mobile phone data, have provided fundamentally new opportunities for research on many socio-economic processes. Compared to traditional statistical sources, mobile phone data has many unique features and advantages that attract scientists from various fields of knowledge. Extensive experience in the use of technologies for collecting and processing spatial information from mobile phones over the past 15 years has led to interest in them in order to improve demographic statistics, transport planning, analysis of settlement systems, tourism statistics, study of human behavior and emergency monitoring. The article demonstrates various cases of using mobile operator data in scientific and applied research in these areas using examples of foreign works. Foreign practice of using data from mobile operators demonstrates how data analysis can complement the results of censuses and population registers, allowing you to move from static to dynamic consideration of the settlement system. The combination of mobile telephony data with traditional statistics, as well as other types of "Big data", such as remote sensing, helps to improve the spatial and temporal resolution of geo-information in the study of demographic and socio-economic processes. At the same time, it can be observed that the potential use of this data source is not limited to supplementing the system of existing statistical indicators, but includes the creation of new socio-economic indicators. At the same time, the long-standing problem of national statistics lagging behind the leading countries of Europe and the United States can be largely offset by the incorporation of "Big data" into research practice.


Author(s):  
Pankaj Dadheech ◽  
Dinesh Goyal ◽  
Sumit Srivastava ◽  
Ankit Kumar

Spatial queries frequently used in Hadoop for significant data process. However, vast and massive size of spatial information makes it difficult to process the spatial inquiries proficiently, so they utilized the Hadoop system for process Big Data. We have used Boolean Queries & Geometry Boolean Spatial Data for Query Optimization using Hadoop System. In this paper, we show a lightweight and adaptable spatial data index for big data which will process in Hadoop frameworks. Results demonstrate the proficiency and adequacy of our spatial ordering system for various spatial inquiries.


2021 ◽  
Author(s):  
Marius Fechter ◽  
Benjamin Schleich ◽  
Sandro Wartzack

AbstractVirtual and augmented reality allows the utilization of natural user interfaces, such as realistic finger interaction, even for purposes that were previously dominated by the WIMP paradigm. This new form of interaction is particularly suitable for applications involving manipulation tasks in 3D space, such as CAD assembly modeling. The objective of this paper is to evaluate the suitability of natural interaction for CAD assembly modeling in virtual reality. An advantage of the natural interaction compared to the conventional operation by computer mouse would indicate development potential for user interfaces of current CAD applications. Our approach bases on two main elements. Firstly, a novel natural user interface for realistic finger interaction enables the user to interact with virtual objects similar to physical ones. Secondly, an algorithm automatically detects constraints between CAD components based solely on their geometry and spatial location. In order to prove the usability of the natural CAD assembly modeling approach in comparison with the assembly procedure in current WIMP operated CAD software, we present a comparative user study. Results show that the VR method including natural finger interaction significantly outperforms the desktop-based CAD application in terms of efficiency and ease of use.


2021 ◽  
Vol 14 (2) ◽  
pp. 1-20
Author(s):  
Néill O’dwyer ◽  
Emin Zerman ◽  
Gareth W. Young ◽  
Aljosa Smolic ◽  
Siobhán Dunne ◽  
...  

Cross-reality technologies are quickly establishing themselves as commonplace platforms for presenting objects of historical, scientific, artistic, and cultural interest to the public. In this space, augmented reality (AR) is notably successful in delivering cultural heritage applications, including architectural and environmental heritage reconstruction, exhibition data management and representation, storytelling, and exhibition curation. Generally, it has been observed that the nature of information delivery in applications created for narrating exhibitions tends to be informative and formal. Here we report on the assessment of a pilot scene for a prototype AR application that attempts to break this mold by employing a humorous and playful mode of communication. This bespoke AR experience harnessed the cutting-edge live-action capture technique of volumetric video to create a digital tour guide that playfully embellished the museological experience of the museum visitors. This applied research article consists of measuring, presenting, and discussing the appeal, interest, and ease of use of this ludic AR storytelling strategy mediated via AR technology in a cultural heritage context.


2021 ◽  
Vol 37 (1) ◽  
pp. 161-169
Author(s):  
Dominik Rozkrut ◽  
Olga Świerkot-Strużewska ◽  
Gemma Van Halderen

Never has there been a more exciting time to be an official statistician. The data revolution is responding to the demands of the CoVID-19 pandemic and a complex sustainable development agenda to improve how data is produced and used, to close data gaps to prevent discrimination, to build capacity and data literacy, to modernize data collection systems and to liberate data to promote transparency and accountability. But can all data be liberated in the production and communication of official statistics? This paper explores the UN Fundamental Principles of Official Statistics in the context of eight new and big data sources. The paper concludes each data source can be used for the production of official statistics in adherence with the Fundamental Principles and argues these data sources should be used if National Statistical Systems are to adhere to the first Fundamental Principle of compiling and making available official statistics that honor citizen’s entitlement to public information.


2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Tian J. Ma ◽  
Rudy J. Garcia ◽  
Forest Danford ◽  
Laura Patrizi ◽  
Jennifer Galasso ◽  
...  

AbstractThe amount of data produced by sensors, social and digital media, and Internet of Things (IoTs) are rapidly increasing each day. Decision makers often need to sift through a sea of Big Data to utilize information from a variety of sources in order to determine a course of action. This can be a very difficult and time-consuming task. For each data source encountered, the information can be redundant, conflicting, and/or incomplete. For near-real-time application, there is insufficient time for a human to interpret all the information from different sources. In this project, we have developed a near-real-time, data-agnostic, software architecture that is capable of using several disparate sources to autonomously generate Actionable Intelligence with a human in the loop. We demonstrated our solution through a traffic prediction exemplar problem.


2020 ◽  
Vol 4 (4) ◽  
pp. 78
Author(s):  
Andoni Rivera Pinto ◽  
Johan Kildal ◽  
Elena Lazkano

In the context of industrial production, a worker that wants to program a robot using the hand-guidance technique needs that the robot is available to be programmed and not in operation. This means that production with that robot is stopped during that time. A way around this constraint is to perform the same manual guidance steps on a holographic representation of the digital twin of the robot, using augmented reality technologies. However, this presents the limitation of a lack of tangibility of the visual holograms that the user tries to grab. We present an interface in which some of the tangibility is provided through ultrasound-based mid-air haptics actuation. We report a user study that evaluates the impact that the presence of such haptic feedback may have on a pick-and-place task of the wrist of a holographic robot arm which we found to be beneficial.


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