Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
21 December 2020 | Story André Damons | Photo Supplied
The KAT Walk mini (Omni Directional Treadmill) used to reduce and eliminate cybersickness.

An officer at the School of Nursing Simulation Laboratory of the University of the Free State (UFS) is aiming to cure or minimise cybersickness in nursing students with a popular virtual reality gaming tool.

Bennie Botha, who is acting as head of the Information, Communication and Simulation Technology at the School of Nursing Simulation Laboratory, developed a virtual environment in which nursing students use immersive virtual reality to perform a simulation scenario. This is part of his master’s degree in Computer Science and Informatics under the supervision of Dr Lizette de Wet and co-supervisor Prof Yvonne Botma.

Botha received his master’s degree with distinction during the UFS virtual graduation in October.

Cybersickness

Botha had found that some people experience cybersickness (almost like motion sickness), which is a significant issue and difficult to address. This he would now try to address with a virtual reality gaming tool – the KAT Walk mini.

According to Botha this technology has never been attempted for health-care education and is mostly used in military and pilot training and is very popular as a gaming platform for hardcore virtual reality gamers.

“To test and provide a possible solution I am going to incorporate the KAT Walk mini (Omni Directional Treadmill – almost like the Ready Player One concept) into which students are strapped and they can physically walk and turn around without the need for large open spaces.

“With this I will try and determine whether it decreases or even eliminates cybersickness due to sensory mismatch while using immersive virtual reality. I wanted to provide possible evidence of what causes cybersickness and want to enable virtual reality as an educational tool, not just for gaming. I think immersive virtual reality has a bright future if the kinks (of which the biggest is cybersickness) can be minimised,” says Botha.

Getting funding

He successfully applied for funding in 2020 and received R150 000.

“I must say I was surprised when I got the approval letter. I thought that due to the economic status it would not go through, but I was really glad when I got the approval as this is my dream and I love working with virtual reality for health care. The grant has made my dream come true, especially considering that this sounds more like something from science fiction,” says Botha.

The project started in November 2017 when Botha first conceptualised the idea and took it to Dr De Wet. He then started it as a masters’ project in 2018 and completed it at the end of 2019.

An equal opportunity for students

Botha says immersive virtual reality gives students more time and a more accessible platform where they can practise their skills as it is easy to use and easy to set up compared to other modalities of simulation. But the biggest task is developing a usable virtual environment that gives students more time to practise and increase their theory and practical integration which is key to providing highly skilled health-care professionals.

“By seeking and possibly implementing the new research, I aim to provide students an equal opportunity to partake in immersive virtual reality simulation as it currently excludes people who are prone to high levels of cybersickness. This means they cannot benefit from the same opportunities as other students do.

“I believe it can help all nursing students in SA and Africa as it is much more cost-effective than high-technology manikins and is easier to set up and access with much less manual input required to make it work (apart from the initial development.).”

News Archive

Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03

 Description: Lisa read more Tags: Plant disease, Lisa Ann Rothman, Department of Plant Sciences, 3 Minute Thesis,  

Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied

 


Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem. 

Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease. 

Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process. 

She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.

Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology. 
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.” 

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept