Augmented Reality Passenger Information on Mobile Public Displays – an Iterative Evaluation Approach

2021 ◽  
pp. 126-143
Author(s):  
Waldemar Titov ◽  
Christine Keller ◽  
Thomas Schlegel
Keyword(s):  
Augmented Reality ◽  
Public Displays ◽  
Evaluation Approach ◽  
Iterative Evaluation

The Intelligent Agents

2014 ◽  
pp. 332-356 ◽  
Keyword(s):  
Virtual Reality ◽  
Augmented Reality ◽  
Social Networking ◽  
Second Life ◽  
Intelligent Agents ◽  
Wearable Computing ◽  
Collaborative Virtual Environments ◽  
Public Displays ◽  
Interactive 3D ◽  
Computing Machines

Tools available for enhancing and sharing knowledge include intelligent agents, Augmented Reality (AR), and Virtual Reality (VR), among other solutions and paradigms. Collaborative computing became possible due to the advances in social networking, collaborative virtual environments, multi-touch screen-based technologies, as well as ambient, ubiquitous, and wearable computing. Examples of simulations in various domains include virtual computing machines, transient public displays of the data, mining for patterns in data, and visualizations of past events with the use of immersive technologies, virtual reality, and augmented reality. Further discussion relates to the tools for creating and publishing interactive 3D media and the Second Life culture.

Experimental Determination of Heat Transfer Coefficient on Impingement Cooled Gear Flanks: Validation of the Evaluation Method

2021 ◽  
Author(s):  
Emre Ayan ◽  
Felix C. von Plehwe ◽  
Marc C. Keller ◽  
Christian Kromer ◽  
Corina Schwitzke ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Experimental Data ◽  
Heat Transfer Coefficient ◽  
Transfer Coefficient ◽  
Temperature Data ◽  
Computational Time ◽  
Impingement Cooling ◽  
Evaluation Approach ◽  
Transfer Case ◽  
Iterative Evaluation

Abstract Understanding the heat transfer characteristics of impingement cooling of high-speed high-power gears is essential to design a reliable gearbox for a new generation of jet engines. However, experimental data on the impingement cooling of gears is limited in the literature. The experimental setup at the Institute of Thermal Turbomachinery aims at closing this gap. It includes a rotating gear instrumented with thermocouples. The measured temperatures are used to determine a spatially resolved heat transfer coefficient distribution on the gear tooth. The iterative evaluation approach applied in the post-processing of the experimental data is validated with two reference cases. First, it is shown that the interpolation of temperature data between thermocouple locations leads to inaccurate results and would not be valid for the evaluation of the experiments, even if the number of thermocouples were increased. The iterative evaluation approach can reproduce the reference heat transfer coefficient distributions very accurately even with a low spatial resolution of temperature data. A new iterative method based on the Levenberg-Marquardt algorithm is implemented within this study. The new method generally converges faster than the existing method. The difference in required computational time is negligible in the easy to evaluate high heat transfer case, whereas a speed-up of up to three times is observed in the relatively cumbersome evaluation of the low heat transfer case.

The Future Is Already Here

2021 ◽  
pp. 225-251
Keyword(s):  
Virtual Reality ◽  
Big Data ◽  
Augmented Reality ◽  
Internet Of Things ◽  
Building Blocks ◽  
The Internet ◽  
Human Race ◽  
Public Displays ◽  
The Future ◽  
The Internet Of Things

In Japan, the world's most technologically sophisticated society, the future has already happened with public displays of AI-powered systems and robots underpinned by big data and fast being incorporated along with other emerging technologies such as the internet of things (IoT), augmented reality (AR), virtual reality (VR), blockchain, and cryptocurrency. Hence, the building blocks of the future already exist today, perhaps within niches, and in the coming years, they will spread to make the ‘normal' of the future. The human race needs to forge a society that collectively and fairly controls how AI will ‘write' the future to avoid it being unequally spread and affected by inequalities, cancers, and the dysfunctional habits of today.

scholarly journals Usability Assessments for Augmented Reality Motor Rehabilitation Solutions: A Systematic Review

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Virgínia C. Cavalcanti ◽  
Maria I. de Santana ◽  
Alana E. F. Da Gama ◽  
Walter F. M. Correia
Keyword(s):  
Systematic Review ◽  
Augmented Reality ◽  
User Preference ◽  
Technology Research ◽  
Motor Rehabilitation ◽  
Evaluation Tool ◽  
Task Execution ◽  
Evaluation Approach ◽  
And Performance ◽  
User Assessment

This article aims to understand which methods and user assessment approaches are most commonly used in motor rehabilitation studies that use Augmented Reality (AR) applications. The way in which this was performed and discussed was through a systematic review of the area. Firstly, the different uses of AR in these treatments, and the importance of improving usability studies to evaluate these interfaces and their interactions with their users, were discussed. Then, the systematic review of the literature was structured according to previous studies and covered the period from 2007 to September 2017, using the main scientific journals of the area. Of the 666 results collected in the initial search, 32 articles were selected within the planned requirements and scope. These publications were classified by relevance, using the QualSyst evaluation tool for health technology research, and the type of evaluation, approach, and methods used were catalogued. It was found that most of the studies prioritise methods of data collection, such as task execution and performance analysis. However, through QualSyst, it was verified that the best-evaluated studies chose to use a combination of quantitative and qualitative analysis, through the application of methods such as user preference questionnaires, interviews, and observations. The results presented in this review may benefit designers who intend to design and conduct usability assessments for AR within this context.

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