University of South Australia

About: University of South Australia is a education organization based out in Adelaide, South Australia, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 10086 authors who have published 32587 publications receiving 913683 citations. The organization is also known as: The University of South Australia & UniSA.

Factors Associated With Virtual Reality Sickness in Head-Mounted Displays: A Systematic Review and Meta-Analysis

Abstract: The use of head-mounted displays (HMD) for virtual reality (VR) application-based purposes including therapy, rehabilitation, and training is increasing. Despite advancements in VR technologies, many users still experience sickness symptoms. VR sickness may be influenced by technological differences within HMDs such as resolution and refresh rate, however, VR content also plays a significant role. The primary objective of this systematic review and meta-analysis was to examine the literature on HMDs that report Simulator Sickness Questionnaire (SSQ) scores to determine the impact of content. User factors associated with VR sickness were also examined. A systematic search was conducted according to PRISMA guidelines. Fifty-five articles met inclusion criteria, representing 3,016 participants (mean age range 19.5-80; 41% female). Findings show gaming content recorded the highest total SSQ mean 34.26 (95%CI 29.57-38.95). VR sickness profiles were also influenced by visual stimulation, locomotion and exposure times. Older samples (mean age ≥35 years) scored significantly lower total SSQ means than younger samples, however, these findings are based on a small evidence base as a limited number of studies included older users. No sex differences were found. Across all types of content, the pooled total SSQ mean was relatively high 28.00 (95%CI 24.66-31.35) compared with recommended SSQ cut-off scores. These findings are of relevance for informing future research and the application of VR in different contexts.

Accurate inference of shoot biomass from high-throughput images of cereal plants.

Abstract: With the establishment of advanced technology facilities for high throughput plant phenotyping, the problem of estimating plant biomass of individual plants from their two dimensional images is becoming increasingly important. The approach predominantly cited in literature is to estimate the biomass of a plant as a linear function of the projected shoot area of plants in the images. However, the estimation error from this model, which is solely a function of projected shoot area, is large, prohibiting accurate estimation of the biomass of plants, particularly for the salt-stressed plants. In this paper, we propose a method based on plant specific weight for improving the accuracy of the linear model and reducing the estimation bias (the difference between actual shoot dry weight and the value of the shoot dry weight estimated with a predictive model). For the proposed method in this study, we modeled the plant shoot dry weight as a function of plant area and plant age. The data used for developing our model and comparing the results with the linear model were collected from a completely randomized block design experiment. A total of 320 plants from two bread wheat varieties were grown in a supported hydroponics system in a greenhouse. The plants were exposed to two levels of hydroponic salt treatments (NaCl at 0 and 100 mM) for 6 weeks. Five harvests were carried out. Each time 64 randomly selected plants were imaged and then harvested to measure the shoot fresh weight and shoot dry weight. The results of statistical analysis showed that with our proposed method, most of the observed variance can be explained, and moreover only a small difference between actual and estimated shoot dry weight was obtained. The low estimation bias indicates that our proposed method can be used to estimate biomass of individual plants regardless of what variety the plant is and what salt treatment has been applied. We validated this model on an independent set of barley data. The technique presented in this paper may extend to other plants and types of stresses.

Updated methodological guidance for the conduct of scoping reviews.

Abstract: OBJECTIVE The objective of this paper is to describe the updated methodological guidance for conducting a JBI scoping review, with a focus on new updates to the approach and development of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (the PRISMA-ScR) INTRODUCTION Scoping reviews are an increasingly common approach to informing decision-making and research based on the identification and examination of the literature on a given topic or issue Scoping reviews draw on evidence from any research methodology and may also include evidence from non-research sources, such as policy In this manner, scoping reviews provide a comprehensive overview to address broader review questions than traditionally more specific systematic reviews of effectiveness or qualitative evidence The increasing popularity of scoping reviews has been accompanied by the development of a reporting guideline: the PRISMA-ScR In 2014, the JBI Scoping Review Methodology Group developed guidance for scoping reviews that received minor updates in 2017 and was most recently updated in 2020 The updates reflect ongoing and substantial developments in approaches to scoping review conduct and reporting As such, the JBI Scoping Review Methodology Group recognized the need to revise the guidance to align with the current state of knowledge and reporting standards in evidence synthesis METHODS Between 2015 and 2020, the JBI Scoping Review Methodology Group expanded its membership; extensively reviewed the literature; engaged via annual face-to-face meetings, regular teleconferences, and email correspondence; sought advice from methodological experts; facilitated workshops; and presented at scientific conferences This process led to updated guidance for scoping reviews published in the JBI Manual for Evidence Synthesis The updated chapter was endorsed by JBI's International Scientific Committee in 2020 RESULTS The updated JBI guidance for scoping reviews includes additional guidance on several methodological issues, such as when a scoping review is (or is not) appropriate, and how to extract, analyze, and present results, and provides clarification for implications for practice and research Furthermore, it is aligned with the PRISMA-ScR to ensure consistent reporting CONCLUSIONS The latest JBI guidance for scoping reviews provides up-to-date guidance that can be used by authors when conducting a scoping review Furthermore, it aligns with the PRISMA-ScR, which can be used to report the conduct of a scoping review A series of ongoing and future methodological projects identified by the JBI Scoping Review Methodology Group to further refine the methodology are planned