Comparison study of the use of 360-degree video and non-360-degree video simulation and cybersickness symptoms in undergraduate healthcare curricula

2018 ◽  
Vol 5 (3) ◽  
pp. 170-173
Author(s):  
Natasha Taylor ◽  
Adam Layland
Keyword(s):  
Virtual Reality ◽  
Learning And Teaching ◽  
Simulation Tools ◽  
Simulation Techniques ◽  
Healthcare Simulation ◽  
Simulation Learning ◽  
Tools And Techniques ◽  
Video Case Study ◽  
Standardised Patient

The increasing use of emerging technologies in healthcare simulation, particularly virtual reality, has caused in increase in both use and misuse. It is the exploration and study of these types of technology that are key to their success—or failure—in simulation learning and teaching. Therefore, this exploratory study evaluated the most common perceived side effect of virtual reality, that of cybersickness. A total of n=60 undergraduate healthcare students participated in one of four identical learning outcome simulation events, using different simulation techniques. This study compared these four common simulation tools, high-fidelity manikin, standardised patient, video case study and 360-degree virtual reality video, and analysed the self-reported cybersickness symptoms. The results show that some virtual reality tools, in this case 360-degree video, are no more likely to provoke cybersickness symptoms than the other simulation methods used in this study. In addition, virtual reality is reported as less fatiguing than other methods of simulation learning. Virtual reality technologies may be a useful addition to the spectrum of simulation tools and techniques currently in use. This study suggests that there is no greater risk of cybersickness symptoms and this potential barrier to use is not borne out by this study.

Use of functional near-infrared spectroscopy to evaluate cognitive change when using healthcare simulation tools

2020 ◽  
Vol 6 (6) ◽  
pp. 360-364
Author(s):  
Natasha Taylor ◽  
Martyn Wyres ◽  
Martin Bollard ◽  
Rosie Kneafsey
Keyword(s):  
Infrared Spectroscopy ◽  
Cognitive Load ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Haemoglobin Concentration ◽  
Cognitive Change ◽  
Functional Near Infrared Spectroscopy ◽  
Simulation Tools ◽  
Healthcare Simulation ◽  
Simulation Learning

BackgroundThe use of brain imaging techniques in healthcare simulation is relatively rare. However, the use of mobile, wireless technique, such as functional near-infrared spectroscopy (fNIRS), is becoming a useful tool for assessing the unique demands of simulation learning. For this study, this imaging technique was used to evaluate cognitive load during simulation learning events.MethodsThis study took place in relation to six simulation activities, paired for similarity, and evaluated comparative cognitive change between the three task pairs. The three paired tasks were: receiving a (1) face-to-face and (2) video patient handover; observing a simulated scene in (1) two dimensions and (2) 360° field of vision; and on a simulated patient (1) taking a pulse and (2) taking a pulse and respiratory rate simultaneously. The total number of participants was n=12.ResultsIn this study, fNIRS was sensitive to variations in task difficulty in common simulation tools and scenarios, showing an increase in oxygenated haemoglobin concentration and a decrease in deoxygenated haemoglobin concentration, as tasks increased in cognitive load.ConclusionOverall, findings confirmed the usefulness of neurohaemoglobin concentration markers as an evaluation tool of cognitive change in healthcare simulation. Study findings suggested that cognitive load increases in more complex cognitive tasks in simulation learning events. Task performance that increased in complexity therefore affected cognitive markers, with increase in mental effort required.

scholarly journals Model-Based Dependability Analysis of Physical Systems with Modelica

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Andrea Tundis ◽  
Lena Buffoni ◽  
Peter Fritzson ◽  
Alfredo Garro
Keyword(s):  
Probabilistic Approach ◽  
Physical Systems ◽  
Simulation Techniques ◽  
Dependability Analysis ◽  
Tank System ◽  
System Requirements ◽  
System Properties ◽  
Tools And Techniques ◽  
Important System

Modelica is an innovative, equation-based, and acausal language that allows modeling complex physical systems, which are made of mechanical, electrical, and electrotechnical components, and evaluates their design through simulation techniques. Unfortunately, the increasing complexity and accuracy of such physical systems require new, more powerful, and flexible tools and techniques for evaluating important system properties and, in particular, the dependability ones such as reliability, safety, and maintainability. In this context, the paper describes some extensions of the Modelica language to support the modeling of system requirements and their relationships. Such extensions enable the requirement verification analysis through native constructs in the Modelica language. Furthermore, they allow exporting a Modelica-based system design as a Bayesian Network in order to analyze its dependability by employing a probabilistic approach. The proposal is exemplified through a case study concerning the dependability analysis of a Tank System.

scholarly journals INCEPTION OF HARMONISING DATA SILOS AND URBAN SIMULATION TOOLS USING 3D CITY MODELS FOR SUSTAINABLE MANAGEMENT OF THE URBAN FOOD WATER AND ENERGY RESOURCES

2021 ◽  
Vol VIII-4/W1-2021 ◽  
pp. 81-88
Author(s):  
R. Padsala ◽  
E. Gebetsroither-Geringer ◽  
J. Peters-Anders ◽  
V. Coors
Keyword(s):  
New York ◽  
Action Plan ◽  
The United States ◽  
Rapid Expansion ◽  
Domain Experts ◽  
Simulation Tools ◽  
Domain Specific ◽  
Energy Domain ◽  
Tools And Techniques

Abstract. This paper explains the first insights into the ongoing development of a CityGML based Food Water Energy Application Domain Extension (FWE ADE). Cities are undergoing rapid expansion throughout the globe. As a result, they face a common challenge to provide food, water and energy (FWE) supplies under healthy and economically productive conditions. Consequently, new tools and techniques must be developed to support decision-makers, such as governments, public or private infrastructure providers, investors and city developers, to understand, quantify and visualise multiple interdependent impacts for the sustainable supply of the FWE resources. However, a common practice amongst these stakeholders is to work in their data silos, which frequently results in a lack of data integration and communication between domain specific simulation tools belonging to different infrastructure departments. As a result, insights related to critical indicators showing inter-dependency amongst different urban infrastructure are missed and hence, not included in the cities’ redevelopment action plan. This paper documents the first ongoing attempt by an international group of domain experts from food, water, energy, urban design and geoinformatics to harmonise the data silos of food, water and energy domain for the case study regions of the County of Ludwigsburg in Germany, the city of Vienna in Austria and the neighbourhood of Gowanus in New York, the United States of America.

Virtual Reality Treatment for Agoraphobia: A Mexican Case Study

2006 ◽  
Author(s):  
Georgina Cardenas-Lopez ◽  
Sandra Munoz ◽  
Maribel Gonzalez ◽  
Carmen Ramos
Keyword(s):  
Virtual Reality

Case Study: Creating a Video Case Study

2019 ◽  
Vol 048 (04) ◽  
Author(s):  
Annie Prud'homme-Genereux ◽  
Phil Gibson ◽  
Melissa Csikari
Keyword(s):  
Video Case Study

Root Cause Analysis for Pin Leakage

2016 ◽  
Author(s):  
Zhigang Song ◽  
Jochonia Nxumalo ◽  
Manuel Villalobos ◽  
Sweta Pendyala
Keyword(s):  
Failure Analysis ◽  
Root Cause Analysis ◽  
Advanced Technology ◽  
Process Step ◽  
Cause Analysis ◽  
Hard Mask ◽  
Technology Node ◽  
Root Cause ◽  
Tools And Techniques

Abstract Pin leakage continues to be on the list of top yield detractors for microelectronics devices. It is simply manifested as elevated current with one pin or several pins during pin continuity test. Although many techniques are capable to globally localize the fault of pin leakage, root cause analysis and identification for it are still very challenging with today’s advanced failure analysis tools and techniques. It is because pin leakage can be caused by any type of defect, at any layer in the device and at any process step. This paper presents a case study to demonstrate how to combine multiple techniques to accurately identify the root cause of a pin leakage issue for a device manufactured using advanced technology node. The root cause was identified as under-etch issue during P+ implantation hard mask opening for ESD protection diode, causing P+ implantation missing, which was responsible for the nearly ohmic type pin leakage.

Sign in / Sign up

Export Citation Format

Share Document