scholarly journals WI-FI RSS FINGERPRINTING FOR INDOOR LOCALIZATION USING AUGMENTED REALITY

2020 ◽  
Vol V-4-2020 ◽  
pp. 57-64
Author(s):  
A. Ahmad ◽  
P. Claudio ◽  
A. Alizadeh Naeini ◽  
G. Sohn
Keyword(s):  
Augmented Reality ◽  
Indoor Localization ◽  
Facility Management ◽  
Ease Of Use ◽  
Reference Points ◽  
Floor Plan ◽  
Indoor Space ◽  
Fingerprinting Method ◽  
Mapping Techniques ◽  
And Performance

Abstract. Indoor localization has attracted the attention of researchers for wide applications in areas like construction, facility management, industries, logistics, and health. The Received Signal Strength (RSS) based fingerprinting method is widely adopted because it has a lower cost over other methods. RSS is a measurement of the power present in the received radio signal. While this fingerprinting method is very popular, there is a significant amount of effort required for collecting fingerprints for indoor space. In this paper, we propose an RSS fingerprinting method using Augmented Reality (AR) that does not rely on an external sensor resulting in ease of use and maintenance. This method uses spatial mapping techniques to help align the floor plan of existing buildings; then, after the alignment, we map local device coordinates to global coordinates. After this process, we partition the space in equally distanced reference points for RSS fingerprint collection. We developed an application for Microsoft HoloLens to align the floor plan and collect fingerprints on reference points. Then we tested collected fingerprints with existing RSS based indoor localization methods for its accuracy and performance.

scholarly journals Travel to Southeast Asia: Learning About Southeast Asia through Augmented Reality

2021 ◽  
Vol 3 (2) ◽  
pp. 17-28
Author(s):  
Siti Zalifah Ramli ◽  
Siti Aishah Zahari ◽  
Nur Amalia Atikah Edyanto ◽  
Muhammad Asyraf Abdullah Zawawi ◽  
Nur Ain Najihah Ibharim
Keyword(s):  
Augmented Reality ◽  
Southeast Asia ◽  
Quantitative Methods ◽  
Ease Of Use ◽  
Online Questionnaire ◽  
Foreign Countries ◽  
Support Tools ◽  
Bachelor Of Education ◽  
And Performance ◽  
Addie Model

‘Travel to Southeast Asia’ application is one of Augmented Reality (AR) technology. Learn about Southeast Asia is very important and has been emphasized in high schools. However, there are some students who are bored and not interested in learning geography especially related to foreign countries due to lack of exposure and information about it. So, the main purpose of this project is to develop an educational application based on Augmented Reality for students to interest them in learning about Southeast Asia. Students also can identify eleven countries in Southeast Asia by using this application and gain some knowledge related to the countries. Unity software is the main software to develop this Augmented Reality because Unity engine can support the high quality of audio and visual effects to ease the development of the project. This project developed by using ADDIE Model as a dynamic and flexible guideline for building effective training and performance support tools. This research was evaluated by among 15 students from Sultan Idris Education University who pursuing a Bachelor of Education (Geography) with Honor by using quantitative methods through online questionnaire. This questionnaire was distributed to the respondents for evaluation based on Usefulness, Satisfaction and Ease of Use (USE) questionnaire. As a result of the questionnaire, majority of respondents gave positive feedback and interested with ‘Travel to Southeast Asia’ application. Based on the research, learning about Southeast Asia using Augmented Reality provides better knowledge and understanding.

Augmented Reality--Implications toward Virtual Reality, Human Perception and Performance

2012 ◽  
Author(s):  
R. A. Grier ◽  
H. Thiruvengada ◽  
S. R. Ellis ◽  
P. Havig ◽  
K. S. Hale ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Human Perception ◽  
And Performance

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
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
User Study ◽  
Spatial Information ◽  
Ease Of Use ◽  
Tourist Attraction ◽  
Gender And Education ◽  
Time Distance ◽  
Data Source ◽  
The Right

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%.

Check-In/Check Out: Electronic Adaptation and Individual Progress Monitoring

2021 ◽  
pp. 016264342199410
Author(s):  
Jordan Yassine ◽  
Leigh Ann Tipton-Fisler
Keyword(s):  
Performance Feedback ◽  
Differential Reinforcement ◽  
Research Evidence ◽  
Progress Monitoring ◽  
Middle School Student ◽  
Teacher Ratings ◽  
Ease Of Use ◽  
Electronic Application ◽  
Long Line ◽  
And Performance

Check-in/Check-Out (CICO) has a long line of research evidence demonstrating its effectiveness in increasing prosocial behavior. The current paper demonstrated an electronic application of CICO utilizing Google Sheets® with teacher feedback. Google Sheets® offers an inexpensive, collaborative, and remote method for tracking behaviors. In the first study, 2,322 teacher ratings (from 38 teachers) were compared between traditional paper CICO forms or electronic Google Sheets®. Results found that teacher ratings were significantly more complete with the use of the electronic forms. In the second study, an electronic CICO form was used for progress monitoring and performance feedback with a middle school student. Through the form we were able to successfully track our participant’s behavior change in response to CICO with the combination of feedback and a differential reinforcement intervention. Social validity showed that overall teacher ratings were high with respect to ease of use, usefulness, cost-effectiveness, and convenience of the electronic Google Sheets®.

Volumetric Video in Augmented Reality Applications for Museological Narratives

2021 ◽  
Vol 14 (2) ◽  
pp. 1-20
Author(s):  
Néill O’dwyer ◽  
Emin Zerman ◽  
Gareth W. Young ◽  
Aljosa Smolic ◽  
Siobhán Dunne ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Cultural Heritage ◽  
Applied Research ◽  
Ease Of Use ◽  
Museum Visitors ◽  
The Public ◽  
Research Article ◽  
Nature Of Information ◽  
Live Action ◽  
Capture Technique

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.

scholarly journals DeepLocBox: Reliable Fingerprinting-Based Indoor Area Localization

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2000
Author(s):  
Marius Laska ◽  
Jörg Blankenbach
Keyword(s):  
Wireless Local Area Network ◽  
Indoor Localization ◽  
Local Area Network ◽  
Success Probability ◽  
Local Area ◽  
Position Estimation ◽  
Location Based Services ◽  
Global Navigation Satellite Systems ◽  
Area Network ◽  
Floor Plan

Location-based services (LBS) have gained increasing importance in our everyday lives and serve as the foundation for many smartphone applications. Whereas Global Navigation Satellite Systems (GNSS) enable reliable position estimation outdoors, there does not exist any comparable gold standard for indoor localization yet. Wireless local area network (WLAN) fingerprinting is still a promising and widely adopted approach to indoor localization, since it does not rely on preinstalled hardware but uses the existing WLAN infrastructure typically present in buildings. The accuracy of the method is, however, limited due to unstable fingerprints, etc. Deep learning has recently gained attention in the field of indoor localization and is also utilized to increase the performance of fingerprinting-based approaches. Current solutions can be grouped into models that either estimate the exact position of the user (regression) or classify the area (pre-segmented floor plan) or a reference location. We propose a model, DeepLocBox (DLB), that offers reliable area localization in multi-building/multi-floor environments without the prerequisite of a pre-segmented floor plan. Instead, the model predicts a bounding box that contains the user’s position while minimizing the required prediction space (size of the box). We compare the performance of DLB with the standard approach of neural network-based position estimation and demonstrate that DLB achieves a gain in success probability by 9.48% on a self-collected dataset at RWTH Aachen University, Germany; by 5.48% for a dataset provided by Tampere University of Technology (TUT), Finland; and by 3.71% for the UJIIndoorLoc dataset collected at Jaume I University (UJI) campus, Spain.

Examining frustration and performance when priming user expectations and providing a technology malfunction

2020 ◽  
Vol 64 (1) ◽  
pp. 1846-1850
Author(s):  
Nina Ferreri ◽  
Christopher B. Mayhorn
Keyword(s):  
Augmented Reality ◽  
Technology Acceptance ◽  
Digital Technology ◽  
Mobile App ◽  
Performance Level ◽  
Qr Code ◽  
Attitudes And Behaviors ◽  
Main Effect ◽  
User Expectations ◽  
And Performance

As digital technology develops, users create expectations for performance that may be violated when malfunctions occur. This project examined how priming expectations of technology performance (high v. low v. no) and experiences of technology malfunction (present v. not present) can influence feelings of frustration and performance on a task. A preliminary sample of 42 undergraduate participants completed a QR code scavenger hunt using the augmented reality mobile app, ARIS. Following the task, participants reported what they found for each scavenger hunt clue, their responses to failures in digital technology, and technology acceptance attitudes. Several factorial ANOVAs revealed a main effect for expectation on adaptive items of the RFDT scale and a main effect for malfunction on performance level. This suggests a potential contradiction between attitudes and behaviors when considering a common scenario involving technology.

FACTORS AFFECTING ORGANISATIONAL ACCEPTANCE OF FORMAL NPD PROCESSES

2017 ◽  
Vol 21 (02) ◽  
pp. 1750011 ◽  
Author(s):  
KAI HOLZWEISSIG ◽  
JONAS RUNDQUIST
Keyword(s):  
New Media ◽  
New Product Development ◽  
New Product ◽  
Ease Of Use ◽  
Perceived Ease Of Use ◽  
Commercial Vehicles ◽  
Factors Affecting ◽  
Process Implementation ◽  
Organisational Structures ◽  
And Performance

Formal new product development (NPD) processes have become an important tool in NPD management. However, our understanding of what makes formal NPD process implementation successful in terms of acceptance and performance is still limited. This paper contributes to an improved understanding of factors affecting the acceptance and use of formal NPD processes. Our results show that acceptance of formal NPD processes is determined by several factors, such as ease of use, transparency of discourse, continuous improvement, involvement of NPD actors, and the ability to bridge differences in thinking. Furthermore, that acceptance of formal NPD processes affects NPD performance positively. These results draw on data from a survey posted to employees working for nine large manufacturers of commercial vehicles worldwide. The results should encourage managers to consider and enhance the factors affecting acceptance. This could be done through using new media for publication to increase transparency and perceived ease of use of the NPD process. Further acceptance of the formal NPD process is increased if it mirrors an operative reality and if organisational structures for improvement of the process are implemented and inclusive to employees involved in NPD.

scholarly journals The potential use of lightweight cellular concrete in pavement application: a review

2020 ◽  
Vol 13 (6) ◽  
pp. 686-696
Author(s):  
Frank Mi-Way Ni ◽  
Abimbola Grace Oyeyi ◽  
Susan Tighe
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Ease Of Use ◽  
Potential Candidate ◽  
Actual Performance ◽  
Freeze Thaw ◽  
Lower Weight ◽  
And Performance ◽  
Potential Use ◽  
Cellular Concrete

AbstractProtecting the pavement subgrade to increase the service life of road pavements is an aspect currently being explored. Several alternative pavement subbase materials are being considered, including Lightweight Cellular Concrete (LCC). Due to its lower weight, LCC incorporating industrial by-product, making it sustainable, and ease of use amongst other benefits, is seen as a potential candidate. This paper reports reviewing the potential application of LCC within the pavement structure with a specific application as a subbase. It examines the various properties such as modulus of elasticity, compressive and tensile strength, Water absorption, and freeze-thaw resistance necessary for pavement application. It also assesses its use in the field in Canada considering the design methods utilized. Some limitations and gaps for LCC application in pavements are also established and recommendations on how to further its use and performance. This review concludes that LCC possesses potential as a pavement subbase alternative; however, other mechanical properties like LCC’s fatigue life is essential. A comparative field study is also recommended to monitor actual performance and various factors on performance.

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