scholarly journals Augmented Reality Sandtable (ARES) Impacts on Learning

2019 ◽  
Vol 63 (1) ◽  
pp. 2149-2153
Author(s):  
Kelly S. Hale ◽  
Gwen Campbell ◽  
Jennifer Riley ◽  
Michael Boyce ◽  
Charles Amburn
Keyword(s):  
Augmented Reality ◽  
Transfer Of Training ◽  
Empirical Evaluation ◽  
Spatial Knowledge ◽  
Future Research ◽  
Feature Identification ◽  
Training Environment ◽  
Digital Map ◽  
Traditional Training ◽  
Digital Training

The Army Future Command’s Synthetic Training Environment (STE) is positioned to push innovation in training technologies to provide distributed, digital training experiences where and when needed. This paper supports the future training vision in providing an empirical evaluation of how various display technologies influence spatial knowledge within a battlespace visualization context. Three display media were evaluated: a 3D digital map displayed on a 17” monitor, a 2D map digitally down-projected onto a sand table, and a 3D virtual map of a sand table surface rendered in a Microsoft® HoloLens®. Results showed that media used did not significantly alter the participants’ accuracy in performing the tasks, but did have an effect on their time to complete terrain feature identification and SJT tasks, and on their engagement with the tools. Future research should be conducted to assess the potential for learning, the persistence of learning and the transfer of training to real-world activities as compared to traditional training tools within team, collaborative settings – matching the expected training environment of the STE.

CSI4FS®

2019 ◽  
pp. 238-257
Author(s):  
Ian Levstein ◽  
Lenora Jean Justice
Keyword(s):  
Augmented Reality ◽  
Crime Scene ◽  
Smartphone Application ◽  
Training Methods ◽  
Training Environment ◽  
Crime Scene Investigation ◽  
Traditional Training ◽  
Augmented Reality Application ◽  
History Of ◽  
Scene Investigation

This chapter describes the development of a game-based markerless augmented reality smartphone application (CSI4FS®) that complements traditional crime scene investigation training. The intent is to make a strong case for the use of augmented reality in a forensic science training environment. It includes a brief outline of the issue followed by a history of augmented reality in education and training, simulation use in high-risk professions generally and in education specifically, and augmented reality use in crime scene investigation. Both marker-based and markerless technologies are discussed, followed by a description of the augmented reality application and some of the challenges involved in the creation of that application. Overall, the purpose of this chapter is to introduce a potential solution that will help college students learn crime scene investigation techniques more effectively than with the more traditional training methods.

Adding Modalities to VE Training Systems Enhances Spatial Knowledge Acquisition

2005 ◽  
Vol 49 (26) ◽  
pp. 2253-2257
Author(s):  
Kelly S. Hale ◽  
David Jones ◽  
Kay Stanney ◽  
Laura Milham
Keyword(s):  
Knowledge Acquisition ◽  
Spatial Knowledge ◽  
Future Research ◽  
Spatial Awareness ◽  
Training Environment ◽  
Mental Demand ◽  
Audio Cues ◽  
Spatial Knowledge Acquisition ◽  
Four Levels ◽  
Spatialized Audio

An empirical study was completed to investigate the effects of audition on spatial knowledge acquisition and workload within a virtual training environment. Four levels of audio were investigated including no audio, non-spatialized audio, and two forms of spatialized audio. While all training conditions led to significant decreases in workload, mental demand associated with knowledge of relative locations of dangerous areas was significantly less when trained with sound cues. The results also indicated that training with generalized spatial audio enhanced concentration. Results from this study outline the benefits of training with metaphoric audio cues to enhance spatial awareness. Future research will empirically examine effects of metaphoric haptic cues.

The Use of Location-Based Augmented Reality as Information Media in The Digital Map Application of Jakabaring Sport City

2021 ◽  
Vol 9 (2) ◽  
pp. 103-118
Author(s):  
Siska Arifiani ◽  
Miranda Manurung ◽  
Raden Venantius Hari Ginardi
Keyword(s):  
Augmented Reality ◽  
Tourism Industry ◽  
Location Based Service ◽  
Current Version ◽  
Digital Map ◽  
Digital Maps ◽  
Location Data ◽  
Search Feature ◽  
Integrate Technology ◽  
Information Media

Jakabaring Sport City (JSC) is an integrated sports facility complex and a public tourist spot in Palembang. Due to its extensive area and numerous facilities, visitors need a map with distinct markers for the landmark to make it easier when walking around. Recent technology advancements and its expanding role in various fields invites the question on how to integrate technology in the tourism industry. This journal aims to create an android-based digital map application with augmented reality (AR) as a guiding medium that will display directions towards the Jakabaring exit gate. This app is built using Maps SDK for Android to build the digital maps, Navigation SDK for Android to run navigation, and Maps for Unity to display AR objects that will show the directions towards the exit. The development focuses on a location-based service using GPS to track the user's whereabouts and provide real-time location data around the user. This application has a location search feature, a guiding direction (route and navigation) to a designed location, and an AR camera feature to display where the JSC exit gate is located. Every feature is working well and able to help users while visiting JSC. However, this application could still be improved in the AR feature because on its current version, it is only able to display directions to the JSC exit gate when users are within a radius of one kilometer or less to the exit.

Virtuelle Techniken in der Fertigung/Virtual technologies in production

2018 ◽  
Vol 108 (03) ◽  
pp. 169-173
Author(s):  
P. Brunkow ◽  
Y. Müller
Keyword(s):  
Augmented Reality ◽  
Critical Factor ◽  
Future Research ◽  
Research Needs ◽  
Innovative Techniques

Virtuelle Techniken wie Augmented Reality (AR) ermöglichen die Visualisierung virtueller Informationen wie beispielsweise Geometriedaten im selben Bild. In diesem Artikel werden Potenziale und Herausforderungen beim Einsatz von AR in der Fertigung dargestellt. Darüber hinaus wird der Mitarbeiter als kritischer Erfolgsfaktor bei der Implementierung von innovativen Techniken betrachtet und der künftige Forschungsbedarf aufgezeigt.   Virtual technologies such as Augmented Reality (AR) allow the visualization of virtual information. This article describes potentials and challenges, applying AR in production. Furthermore the employee is outlined as critical factor of success for the implementation of innovative techniques. Future research needs are pointed out.

scholarly journals Usability in 4D AR: Visualising Multi-temporal Real-time Geo-data in Augmented Reality Environments

2015 ◽  
Vol 9 (4) ◽  
pp. 23 ◽  
Author(s):  
Bernd Resch ◽  
Andreas Wichmann ◽  
Nicolas Göll
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Temporal Variations ◽  
Time Base ◽  
Future Research ◽  
Time Data ◽  
Orientation Data ◽  
Information Density ◽  
Real Time Data ◽  
Multi Temporal

Even though advantages of 3D visualisation of multi-temporal geo-data versus 2D approaches have been widely proven, the particular pertaining challenge of real-time visualisation of geo-data in mobile Digital Earth applications has not been thoroughly tackled so far. In the emerging field of Augmented Reality (AR), research needs comprise finding the optimal information density, the interplay between orientation data in the background and other information layers, using the appropriate graphical variables for display, or selecting real-time base data with adequate quality and suitable spatial accuracy. In this paper we present a concept for integrating real-time data into 4D (three spatial dimensions plus time) AR environments, i.e., data with “high” spatial and temporal variations. We focus on three research challenges: 1.) high-performance integration of real-time data into AR; 2.) usability design in terms of displaying spatio-temporal developments and the interaction with the application; and 3.) design considerations regarding reality vs. virtuality, visualisation complexity and information density. We validated our approach in a prototypical application and extracted several limitations and future research areas including natural feature recognition, the cross-connection of (oftentimes monolithic) AR interface developments and well-established cartographic principles, or fostering the understanding of the temporal context in dynamic 4D Augmented Reality environments.

scholarly journals OUTDOOR AR-APPLICATION FOR THE DIGITAL MAP TABLE

2020 ◽  
Vol XLIV-3/W1-2020 ◽  
pp. 93-98
Author(s):  
S. Maier ◽  
T. Gostner ◽  
F. van de Camp ◽  
A. H. Hoppe
Keyword(s):  
Augmented Reality ◽  
Geographical Location ◽  
Satellite System ◽  
Reference Points ◽  
Sensor Data ◽  
Measurement Unit ◽  
Positional Accuracy ◽  
Digital Map ◽  
The World ◽  
Global Navigation Satellite

Abstract. In many fields today, it is necessary that a team has to do operational planning for a precise geographical location. Examples for this are staff work, the preparation of surveillance tasks at major events or state visits and sensor deployment planning for military and civil reconnaissance. For these purposes, Fraunhofer IOSB is developing the Digital Map Table (DigLT). When making important decisions, it is often helpful or even necessary to assess a situation on site. An augmented reality (AR) solution could be useful for this assessment. For the visualization of markers at specific geographical coordinates in augmented reality, a smartphone has to be aware of its position relative to the world. It is using the sensor data of the camera and inertial measurement unit (IMU) for AR while determining its absolute location and direction with the Global Navigation Satellite System (GNSS) and its magnetic compass. To validate the positional accuracy of AR markers, we investigated the current state of the art and existing solutions. A prototype application has been developed and connected to the DigLT. With this application, it is possible to place markers at geographical coordinates that will show up at the correct location in augmented reality at anyplace in the world. Additionally, a function was implemented that lets the user select a point from the environment in augmented reality, whose geographical coordinates are sent to the DigLT. The accuracy and practicality of the placement of markers were examined using geodetic reference points. As a result, we can conclude that it is possible to mark larger objects like a car or a house, but the accuracy mainly depends on the internal compass, which causes a rotational error that increases with the distance to the target.

scholarly journals Augmented Reality: Focusing on Photonics in Industry 4.0

2022 ◽  
Author(s):  
Tariq Masood ◽  
Johannes Egger
Keyword(s):  
Augmented Reality ◽  
Industry 4.0 ◽  
Success Factors ◽  
Industrial Revolution ◽  
Value Chains ◽  
Future Research ◽  
Digital Information ◽  
Font Size ◽  
Academic Literature ◽  
Broad Variety

Industry 4.0 (or 4<sup>th</sup> industrial revolution) facilitates horizontal and vertical digital information flow along value chains up to the end-customer and is highly relevant in a broad variety of industries. Augmented reality (AR) is a key technology in Industry 4.0, which connects the virtual and real-world environments using such digital information flows. In doing so, the technology relies upon the systems that includes hardware and software components. Particularly, optics and photonics are of much importance in the display and processing of information in these systems. However, a particular challenge is that the AR-based systems have not been adopted in the industry as much as other technologies even after several decades of their existence. Based on review of academic literature, an industrial survey and experiments conducted in the industry, this article aims to identify success factors and challenges of AR systems and metrics of photonic components that can form the basis of an AR* framework for photonics-based system design for future research. @font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:3 0 0 0 1 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman"; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:10.0pt; mso-ansi-font-size:10.0pt; mso-bidi-font-size:10.0pt; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}

scholarly journals Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design

2021 ◽  
Author(s):  
Aanchna Sharma ◽  
Tanmoy Mukhopadhyay ◽  
Sanjay Mavinkere Rangappa ◽  
Suchart Siengchin ◽  
Vinod Kushvaha
Keyword(s):  
Machine Learning ◽  
Polymer Composites ◽  
Relevant Literature ◽  
Future Research ◽  
Extensive Literature ◽  
Feature Identification ◽  
Predictive Tool ◽  
Analysis And Design ◽  
Increasing Demand ◽  
System Properties

Abstract The superior multi-functional properties of polymer composites have made them an ideal choice for aerospace, automobile, marine, civil, and many other technologically demanding industries. The increasing demand of these composites calls for an extensive investigation of their physical, chemical and mechanical behavior under different exposure conditions. Machine learning (ML) has been recognized as a powerful predictive tool for data-driven multi-physical modeling, leading to unprecedented insights and exploration of the system properties beyond the capability of traditional computational and experimental analyses. Here we aim to abridge the findings of the large volume of relevant literature and highlight the broad spectrum potential of ML in applications like prediction, optimization, feature identification, uncertainty quantification, reliability and sensitivity analysis along with the framework of different ML algorithms concerning polymer composites. Challenges like the curse of dimensionality, overfitting, noise and mixed variable problems are discussed, including the latest advancements in ML that have the potential to be integrated in the field of polymer composites. Based on the extensive literature survey, a few recommendations on the exploitation of various ML algorithms for addressing different critical problems concerning polymer composites are provided along with insightful perspectives on the potential directions of future research.

Looking Beyond the Screen: A Critical Review of the Literature on the Online Child Pornography Offender

Sexual Abuse ◽  
2015 ◽  
Vol 29 (5) ◽  
pp. 416-445 ◽  
Author(s):  
Marie Henshaw ◽  
James R. P. Ogloff ◽  
Jonathan A. Clough
Keyword(s):  
Sexual Offenders ◽  
Child Pornography ◽  
Empirical Evaluation ◽  
Sexual Offender ◽  
Assessment Tools ◽  
Treatment Programs ◽  
Future Research ◽  
Risk Assessment Tools ◽  
Basic Characteristics ◽  
Affective Domains

This article reviews the current literature pertaining to those who engage in child pornography offending. The basic characteristics of online child pornography offenders (CPOs) and related typologies are briefly presented prior to reviewing the comparative literature pertaining to CPOs and child contact sexual offenders. In general, CPOs have been found to be relatively high functioning and generally pro-social individuals with less extensive and diverse offending histories than contact offenders. CPOs also display high levels of sexual pre-occupation, deviant sexual interests, and deficits in interpersonal and affective domains that surpass those of contact offenders. Although further research is required to replicate and clarify preliminary findings, the available evidence indicates that existing sexual offender risk assessment tools and treatment programs are not suitable for use with CPOs, and thus require revision and empirical evaluation prior to widespread use among this population. The article concludes with implications for clinical practice and directions for future research.

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