Digital Commons Network^™

Solar Irradiance Forecasting Using A Novel Hybrid Deep Ensemble Reinforcement Learning Algorithm, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Bahareh Nakisa, Mahdi Khodayar, Abbas Khosravi, Saeid Nahavandi, Syed Mohammed Shamsul Islam, Miadreza Shafie-Khah, João P. S. Catalão

Research outputs 2022 to 2026

Solar irradiance forecasting is a major priority for the power transmission systems in order to generate and incorporate the performance of massive photovoltaic plants efficiently. As such, prior forecasting techniques that use classical modelling and single deep learning models that undertake feature extraction procedures manually were unable to meet the output demands in specific situations with dynamic variability. Therefore, in this study, we propose an efficient novel hybrid solar irradiance forecasting model based on three steps. In the first step, we employ a powerful variable input selection strategy named as partial mutual information (PMI) to calculate the linear and non-linear …

Machine Learning Of Plasma Metabolome Identifies Biomarker Panels For Metabolic Syndrome: Findings From The China Suboptimal Health Cohort, Hao Wang, Youxin Wang, Xingang Li, Xuan Deng, Yuanyuan Kong, Wei Wang, Yong Zhou

Research outputs 2022 to 2026

Background: Metabolic syndrome (MetS) has been proposed as a clinically identifiable high-risk state for the prediction and prevention of cardiovascular diseases and type 2 diabetes mellitus. As a promising “omics” technology, metabolomics provides an innovative strategy to gain a deeper understanding of the pathophysiology of MetS. The study aimed to systematically investigate the metabolic alterations in MetS and identify biomarker panels for the identification of MetS using machine learning methods. Methods: Nuclear magnetic resonance-based untargeted metabolomics analysis was performed on 1011 plasma samples (205 MetS patients and 806 healthy controls). Univariate and multivariate analyses were applied to identify metabolic biomarkers …

Reap Success From Persistence, Cuihong Tian, Jingyi Yan, Xuerui Tan, Wei Wang

Research outputs 2022 to 2026

The road to success is long and arduous. Almost all Nobel prize laureates experienced tremendous efforts and countless failures before they made their scientific breakthroughs. Hypothesis-driven, independent and critical thinking, passion, repeated experiments and repetitive failures and running in circles on the entire scientific process finally approved their hypotheses.

Migrant Visits Over Time: Ethnographic Returning And The Technological Turn, Loretta Baldassar

Research outputs 2022 to 2026

This paper reflects on four decades of research (via ethnographic returning) to explore the social transformations in travel and communication technologies that have impacted the lived experiences, and consequently the theoretical conceptualization, of migrant visits. A comparison of migration waves between Italy and Australia reveals both continuities in visiting experience as deeply relational practices that facilitate a mutuality of being, but also transformations brought about by the technological turn. Visits take on different meanings depending on individual/ family life stage, generation, and community and national histories. The capacity for both physical and virtual copresence must be understood as coconstitutive, requiring …

Magnetized Inulin By Fe3o4 As A Bio-Nano Adsorbent For Treating Water Contaminated With Methyl Orange And Crystal Violet Dyes, Kamran Valizadeh, Amir Bateni, Nazanin Sojoodi, Maryam Rostami Ataabadi, Amir Hossein Behroozi, Ali Maleki, Zhenjiang You

Research outputs 2022 to 2026

Current work focuses on fabricating a new bio-nano adsorbent of Fe₃O₄@inulin nanocomposite via an in-situ co-precipitation procedure to adsorb methyl orange (MO) and crystal violet (CV) dyes from aqueous solutions. Different physical characterization analyses verified the successful fabrication of the magnetic nanocomposite. The adsorbent performance in dye removal was evaluated by varying initial dye concentration, adsorbent dosage, pH and temperature in 5110 mg/L, 0.10.8 g/L, 111 and 283 – 338 K, respectively. Due to the pH of zero point of charge and intrinsic properties of dyes, the optimum pHs were 5 and 7 for MO and …

Relationship Of Cognition And Alzheimer’S Disease With Gastrointestinal Tract Disorders: A Large-Scale Genetic Overlap And Mendelian Randomisation Analysis, Emmanuel O. Adewuyi, Eleanor K. O’Brien, Tenielle Porter, Simon M. Laws

Research outputs 2022 to 2026

Emerging observational evidence suggests links between cognitive impairment and a range of gastrointestinal tract (GIT) disorders; however, the mechanisms underlying their relationships remain unclear. Leveraging large-scale genome-wide association studies’ summary statistics, we comprehensively assessed genetic overlap and potential causality of cognitive traits and Alzheimer’s disease (AD) with several GIT disorders. We demonstrate a strong and highly significant inverse global genetic correlation between cognitive traits and GIT disorders — peptic ulcer disease (PUD), gastritis-duodenitis, diverticulosis, irritable bowel syndrome, and gastroesophageal reflux disease (GERD), but not inflammatory bowel disease (IBD). Further analysis detects 35 significant (p < 4.37 × 10 ^{− 5}) bivariate local genetic …

Data Driven Classification Of Opioid Patients Using Machine Learning - An Investigation, Saddam Al Amin, Md Saddam Hossain Mukta, Md Sezan Mahmud Saikat, Md Ismail Hossain, Md Adnanul Islam, Mohiuddin Ahmed, Sami Azam

Research outputs 2022 to 2026

The opioid crisis has led to an increased number of drug overdoses in recent years. Several approaches have been established to predict opioid prescription by health practitioners. However, due to the complex nature of the problem, the accuracy of such methods is not yet satisfactory. Dependable and reliable classification of opioid dependent patients from well-grounded data sources is essential. Majority of the previous studies do not focus on the users’ mental health association for opioid intake classification. These studies do not also employ the latest deep learning based techniques such as attention and knowledge distillation mechanism to find better insights. …

Performance Analysis Of A Solar-Driven Integrated Direct-Contact Membrane Distillation And Humidification–Dehumidification System, Abdellah Shafieian, Amin Roostaee, Pooria Behnam, Mehdi Khiadani

Research outputs 2022 to 2026

Despite significant advantages of solar-driven membrane-based distillation systems, their large-scale application is limited due to high energy losses, and low technical and economic feasibility. To overcome the mentioned issues, a Direct-Contact Membrane Distillation (DCMD) module (as the primary distillation stage) was coupled with a hollow-fibre membrane-based air humidification–dehumidification (HD) unit (as the secondary distillation stage) to increase the water productivity of the system by recovering some of the lost energy in the first stage. The membrane-based humidifier was designed and implemented instead of the conventional packed columns to avert their drawbacks of being bulky, complex, less durable, and less reliable. …

Review Of The Physical And Chemical Properties Of Seagrass Soils, Nerea Piñeiro-Juncal, Oscar Serrano, Miguel Ángel Mateo, Elena Diaz-Almela, Carmen Leiva-Dueñas, Antonio Martinez-Cortizas

Research outputs 2022 to 2026

Seagrasses are a polyphyletic group of angiosperms that colonized marine environments more than 30 million years ago and currently inhabit coastal soft and rocky substrates in all continents except Antarctica. Due to their evolution from terrestrial plants, seagrasses have belowground organs that interact with the substrate, transforming it through chemo-physical processes analogous to terrestrial soil formation. Although seagrass substrates provide valuable ecosystem services including carbon and coastal stabilization, they have been largely regarded as sediments by marine scientists and neglected in soil science research. However, over the last decades, the increasing interest in carbon accumulation by seagrasses has generated multiple …

Dialogic Drawing: A Method For Researching Abstract Phenomenon In Early Childhood, Amelia Ruscoe

Research outputs 2022 to 2026

This article explores the theoretical, ethical, and practical opportunities and constraints considered in the methodological design and use of Dialogic Drawing, a participatory method for accessing qualitative data with young children. The method was designed to gather data about abstract phenomena from young children, as part of a larger study investigating the impact of discursive affordances in the first year of compulsory school in Western Australia. Methodological findings are reported from the application of Dialogic Drawing with 28 five-year-old children from diverse school-based semiotic landscapes in the Perth metropolitan area in Western Australia. Three strands of analysis are described and …

Aboriginal Perspectives Matter: Yarning And Reflecting About Teaching Literacies With Multimodal Aboriginal Texts, Wendy Cumming-Potvin, Libby Jackson-Barrett, Dominique Potvin

Research outputs 2022 to 2026

Reporting on a qualitative study, informed by Australian Government Indigenous education and literacy policies, this article unveils early career teacher reflections about infusing Aboriginal perspectives in the English curriculum using multimodal texts. Forging a praxis between the Aboriginal practice of yarning (Bessarab & Ng’andu, 2010) and Freire’s (1974, 1996) frameworks for conscientisation and teachers as facilitators, the project overlays the work of Ladson-Billings (1995) and Foster, Halliday, Baize & Chisholm (2020), to unravel how culturally responsive pedagogy manifests in early career primary school teaching. We discuss teacher starting points and challenges to be culturally responsive educators, who use appropriate Aboriginal …

Establishment And Mapping Of Heterogeneous Anomalies In Network Intrusion Datasets, Liam Riddell, Mohiuddin Ahmed, Paul Haskell-Dowland

Research outputs 2022 to 2026

Anomaly detection in the scope of network security aims to identify network instances for the unexpected and unique, with various security operations employing such techniques to facilitate effective threat detection. However, many systems have been designed based on the absolute mapping of attacks to one of three anomaly types (i.e. point, collective, or contextual), a strategy not supported by the recent findings of hybrid anomaly classifications. Given the growing usage of network anomaly detection and the implications of hybrid anomalies, we propose several heterogeneous anomaly types and provide an unsupervised approach for the automated mapping of network threats. Initial findings …

Factors Affecting The Growth Of Small Privately-Owned Financial Planning Businesses, Darren A. Pawski, Robert J. Powell, Anna Golab

Research outputs 2022 to 2026

Over the past 10 years, there have been many financial scandals in the financial advice industry, which has caused substantial losses for investors. Large wealth institutions controlled by major Australian banks have significantly contributed to investor losses by promoting their products which were not always in the best interests of clients. The aim of this study was to explore the factors affecting the current and future growth of small privately-owned financial planning businesses as a competitive marketplace provides better consumer outcomes. The study undertook a qualitative approach using an exploratory research design which involved the recruitment of 51 privately-owned financial …

Interplay Between Foetal Haemoglobin, Micronutrients And Oxidative Stress Biomarkers In Sickle Cell Anaemia Children, Ama G. Owusu-Poku, Daniel Gyamfi, Eliezer Togbe, Stephen Opoku, Richard K. D. Ephraim, Jocelyn G. Asibey, Benedict Sackey, Wina I. O. Boadu, Max E. Annani-Akollor, Enoch O. Anto, Otchere Addai-Mensah

Research outputs 2022 to 2026

Foetal haemoglobin (HbF) has been speculated to have an impact on the quantity of micronutrients and the latter also have a role to play in oxidative stress (OS) in sickle cell anaemia (SCA). No previous study in Ghana has examined the interplay of these factors together among SCA children. This study compared the levels of OS biomarkers (8-hydroxy-deoxyguanosine [8-OHdG] total antioxidant capacity [TAC]) and micronutrients (zinc and copper), and their relationship with HbF in SCA and sickle cell negative, apparently healthy children. This case-control study recruited 58 SCA (out-patients [n = 42] and in-patients [n = 16]) children aged 1–14 …

Association Of Cumulative Monocyte To High-Density Lipoprotein Ratio With The Risk Of Type 2 Diabetes: A Prospective Cohort Study, Dan Wu, Yulong Lan, Yuancheng Xu, Songna Xu, Yuejun Huang, Lois Balmer, Gehendra Maharra, Wencan Xu, Wei Wang, Shouling Wu

Research outputs 2022 to 2026

Background: Recent studies have established that monocyte-derived inflammation plays a central role in the pathogenesis of type 2 diabetes mellitus (T2DM). It is unclear whether chronic metabolic inflammation, reflected by the cumulative monocyte to high-density lipoprotein ratio (CumMHR), predisposes the general population to T2DM. Methods: This study included 40,813 participants without diabetes from a real-life, community-based cohort (the Kailuan Study) attending a 2-year cycle of health survey since 2006. Cumulative exposure was obtained from 2006/2007 to 2010/2011. Follow-up started at 2010/2011 and through 2020. Multivariable-adjusted Cox regression models were used to calculate the CumMHR-associated risk of incident T2DM. Results: Over …

Australian Older Adults' Views On Using Social Media For Reducing Social Isolation And Loneliness In Hearing Impaired Older Adults: A Community Conversation, Dona M. P. Jayakody, Ysraelle M. E. Tan, Isabelle Livings, Leesa Costello, Leon Flicker, Osvaldo P. Almeida

Research outputs 2022 to 2026

Objective(s): The objective of this study was to conduct a community conversation to identify the views of the community members when designing an online community using Facebook to support the psychosocial well-being of hearing-impaired older adults. Methods: A community conversation was held with 40 older adults aged more than 60 years. The participants were divided into groups of five and asked to discuss three open-ended questions. The researchers facilitated the discussions. Results: The overwhelming response from this group was that they did not use Facebook or social media as a tool for social connection and did not see the benefits …

Bidirectional Associations Between Daytime Napping Duration And Metabolic Syndrome: A Nationally Representative Cohort Study, Jinqi Wang, Zhiyuan Wu, Xiaohan Jin, Rui Jin, Ze Han, Haiping Zhang, Zongkai Xu, Yue Liu, Xiuhua Guo, Lixin Tao

Research outputs 2022 to 2026

Background: We aimed to examine the bidirectional associations between daytime napping duration and metabolic syndrome (MetS). Methods: Using data from the China Health and Retirement Longitudinal Study from 2011 to 2015, modified Poisson regression models were performed to explore the longitudinal associations of baseline napping duration with the occurrence and remission of MetS. Generalized estimating equation was conducted to explore the association between baseline MetS status with subsequent changes in daytime napping duration. Cross-lagged panel analysis was performed to further verify their bidirectional relationships. Results: During the four-year follow-up, among 5041 participants without MetS at baseline, extended naps were significantly …

Epigenomic And Other Evidence For Cannabis-Induced Aging Contextualized In A Synthetic Epidemiologic Overview Of Cannabinoid-Related Teratogenesis And Cannabinoid-Related Carcinogenesis, Albert Stuart Reece, Gary Kenneth Hulse

Research outputs 2022 to 2026

Background: Twelve separate streams of empirical data make a strong case for cannabis-induced accelerated aging including hormonal, mitochondriopathic, cardiovascular, hepatotoxic, immunological, genotoxic, epigenotoxic, disruption of chromosomal physiology, congenital anomalies, cancers including inheritable tumorigenesis, telomerase inhibition and elevated mortality. Methods: Results from a recently published longitudinal epigenomic screen were analyzed with regard to the results of recent large epidemiological studies of the causal impacts of cannabis. We also integrate theoretical syntheses with prior studies into these combined epigenomic and epidemiological results. Results: Cannabis dependence not only recapitulates many of the key features of aging, but is characterized by both age-defining and …

Muscle Architectural And Force-Velocity Curve Adaptations Following 10 Weeks Of Training With Weightlifting Catching And Pulling Derivatives, Timothy J. Suchomel, Shana M. Mckeever, Justin D. Nolen, Paul Comfort

Research outputs 2022 to 2026

The aims of this study were to examine the muscle architectural, rapid force production, and force-velocity curve adaptations following 10 weeks of resistance training with either submaximal weightlifting catching (CATCH) or pulling (PULL) derivatives or pulling derivatives with phase-specific loading (OL). 27 re-sistance-trained men were randomly assigned to the CATCH, PULL, or OL groups and completed pre-and post-intervention ultrasound, countermovement jump (CMJ), and isometric mid-thigh pull (IMTP). Vastus lateralis and biceps femoris muscle thickness, pennation angle, and fascicle length, CMJ force at peak power, velocity at peak power, and peak power, and IMTP peak force and force at 100-, 150-, …

Re-Imaging The Future In Urban Studies And Built Environment Discourse: A Neurourbanism Perspective, Emeka Ndaguba, Jua Cilliers, Sijekula Mbanga, Kerry Brown, Sumita Ghosh

Research outputs 2022 to 2026

Neurological constructs are being applied in various fields; within urban studies and built environments, neurourbanism stands out. To understand this concept, this study seeks to conduct a scientometric analysis of the concept of neurourbanism. To do so, we gauged the intellectual structure and clarified the influencers and emerging themes while seeking to identify essential gaps in neurourbanism research in urban studies and the built environment. Data were sorted from Dimensions Artificial Intelligence platform because of its reliability in providing the needed dataset accurately, and the Citespace software was used to analyze the data. Our results suggest plurality in explaining the …

Support-Seeking By Cancer Caregivers Living In Rural Australia, Elizabeth A. Johnston, Belinda C. Goodwin, Larry Myers, Sonja March, Joanne F. Aitken, Suzanne K. Chambers, Jeff Dunn

Research outputs 2022 to 2026

Objective: Rural cancer caregivers report poor wellbeing and high unmet needs for support. This study investigates sources of support sought by cancer caregivers living in rural Australia, and factors associated with support-seeking. Methods: Informal caregivers of people with cancer completed a questionnaire assessing sociodemographic characteristics, caregiver factors and support-seeking. Descriptive statistics, bivariate analyses and logistic regression were used to identify common sources of support and factors associated with support-seeking. Alluvial and radar plots were used to identify and describe support-seeking profiles. Findings: Of 244 rural caregivers, 64 % reported seeking support for themselves, 72 % for the cancer patient, and …

Western Australian Adolescent Emotional Wellbeing During The Covid-19 Pandemic In 2020, H. M. Thomas, K. C. Runions, L. Lester, K. Lombardi, M. Epstein, J. Mandzufas, T. Barrow, S. Ang, A. Leahy, M. Mullane, A. Whelan, J. Coffin, F. Mitrou, S. R. Zubrick, A. C. Bowen, P. W. Gething, D. Cross

Research outputs 2022 to 2026

Background:

The impacts of the COVID-19 pandemic have been vast and are not limited to physical health. Many adolescents have experienced disruptions to daily life, including changes in their school routine and family’s financial or emotional security, potentially impacting their emotional wellbeing. In low COVID-19 prevalence settings, the impact of isolation has been mitigated for most young people through continued face-to-face schooling, yet there may still be significant impacts on their wellbeing that could be attributed to the pandemic.

Methods:

We report on data from 32,849 surveys from Year 7–12 students in 40 schools over two 2020 survey cycles (June/July: …

What Are The Odds? Identifying Factors Related To Competitive Success In Powerlifting, Daniel J. Van Den Hoek, Patrick J. Owen, Joel M. Garrett, Robert J. Howells, Joshua Pearson, Jemima G. Spathis, Christopher Latella

Research outputs 2022 to 2026

Background: The ability for athletes to gain a competitive advantage over their opponents is well recognised. At times, this advantage may be considered a marginal gain. However, in the context of competition, marginal advantages may be the difference between winning and losing. This investigation explores how competition factors influence the odds of competitive success (i.e. winning) in powerlifting (PL) to assist athletes and coaches in achieving a competitive advantage. Methods: A cross-sectional, retrospective analysis of competition data from raw/classic, Australian powerlifting competitions 2010–2019 was conducted. Data included 10,599 competition entries (males: n = 6567 [62%], females: n = 4032 [38%]). …

Immunoglobulin G N-Glycan, Inflammation And Type 2 Diabetes In East Asian And European Populations: A Mendelian Randomization Study, Biyan Wang, Di Liu, Manshu Song, Wei Wang, Bo Guo, Youxin Wang

Research outputs 2022 to 2026

Background: Immunoglobulin G (IgG) N-glycans have been shown to be associated with the risk of type 2 diabetes (T2D) and its risk factors. However, whether these associations reflect causal effects remain unclear. Furthermore, the associations of IgG N-glycans and inflammation are not fully understood. Methods: We examined the causal associations of IgG N-glycans with inflammation (C-reactive protein (CRP) and fibrinogen) and T2D using two-sample Mendelian randomization (MR) analysis in East Asian and European populations. Genetic variants from IgG N-glycan quantitative trait loci (QTL) data were used as instrumental variables. Two-sample MR was conducted for IgG N-glycans with inflammation (75,391 and …

Research Methodology In Acupuncture And Moxibustion For Managing Primary Dysmenorrhea: A Scoping Review, Weiting Liu, Carol Chunfeng Wang, Khui Hung Lee, Xiaopeng Ma, Timothy Leen Kang

Research outputs 2022 to 2026

Background: Acupuncture and moxibustion have promising effects in managing primary dysmenorrhea. However, some evidence from clinical trials remains controversial due to methodological flaws in study designs that involve acupuncture and its related modalities and require urgent attention and dialogue. Methods: Allied and Complementary Medicine Database (AMED), Cochrane Library, Excerpta Medica database (EMBASE), PubMed, Web of Sciences, Chinese Biological Medicine (CBM), China National Knowledge Infrastructure (CNKI), VIP Database for Chinese Technical Periodicals (VIP), and Wanfang database were searched from their inception to July 2021. Data were extracted based on the types of study design, primary outcome measures, adverse events (AEs), and …

Geotemporospatial And Causal Inference Epidemiological Analysis Of Us Survey And Overview Of Cannabis, Cannabidiol And Cannabinoid Genotoxicity In Relation To Congenital Anomalies 2001–2015, Albert Stuart Reece, Gary Kenneth Hulse

Research outputs 2022 to 2026

Background:

Cannabinoids including cannabidiol have recognized genotoxic activities but their significance has not been studied broadly epidemiologically across the teratological spectrum. We examined these issues including contextual space-time relationships and formal causal inferential analysis in USA.

Methods:

State congenital anomaly (CA) rate (CAR) data was taken from the annual reports of the National Birth Defects Prevention Network 2001–2005 to 2011–2015. Substance abuse rates were from the National Survey of Drug Use and Health a nationally representative longitudinal survey of the non-institutionalized US population with 74.1% response rate. Drugs examined were cigarettes, monthly and binge alcohol, monthly cannabis and analgesic and …

Materials Discovery Of Ion-Selective Membranes Using Artificial Intelligence, Reza Maleki, Seyed Mohammadreza Shams, Yasin Mehdizadeh Chellehbari, Sima Rezvantalab, Ahmad Miri Jahromi, Mohsen Asadnia, Rouzbeh Abbassi, Tejraj Aminabhavi, Amir Razmjou

Research outputs 2022 to 2026

Significant attempts have been made to improve the production of ion-selective membranes (ISMs) with higher efficiency and lower prices, while the traditional methods have drawbacks of limitations, high cost of experiments, and time-consuming computations. One of the best approaches to remove the experimental limitations is artificial intelligence (AI). This review discusses the role of AI in materials discovery and ISMs engineering. The AI can minimize the need for experimental tests by data analysis to accelerate computational methods based on models using the results of ISMs simulations. The coupling with computational chemistry makes it possible for the AI to consider atomic …

Salivary Cortisol Levels And Stress In Adults With Profound Intellectual And Multiple Disabilities Participating In The Structured Water Dance Intervention: A Randomised Controlled Crossover Trial, Lars-Olov Lundqvist, Marie Matérne, Andre Frank, Evalotte Mörelius, Anna Duberg

Research outputs 2022 to 2026

The Structured Water Dance Intervention (SWAN) is a dance-oriented aquatic group activity directed to give opportunities for the joy of movement, relaxation, and reduced stress. This study aimed to evaluate the effects of SWAN on salivary cortisol and stress in adults with profound intellectual and multiple disabilities (PIMD). A total of 34 adults with PIMD at four habilitation centres in Sweden completed the SWAN intervention. The intervention was administered for 40 min once a week during a 12-week period. Saliva cortisol was collected in the morning and evening at baseline one week before the intervention, thrice during the intervention period, …

Vascular Endothelial Growth Factor And The Risk Of Venous Thromboembolism: A Genetic Correlation And Two-Sample Mendelian Randomization Study, Qiaoyun Zhang, Xiaoyu Zhang, Jie Zhang, Biyan Wang, Qiuyue Tian, Xiaoni Meng, Jinxia Zhang, Mengyang Jiang, Yiqiang Zhang, Deqiang Zheng, Lijuan Wu, Wei Wang, Baoguo Wang, Youxin Wang

Research outputs 2022 to 2026

Background: The relationship between vascular endothelial growth factor (VEGF) and the risk of venous thromboembolism (VTE) has always been one of the concerns in the medical field. However, the causal inferences from published observational studies on this issue may be affected by confounders or reverse causality. We performed a two-sample bidirectional Mendelian randomization (MR) to infer the associations between VEGF and VTE. Methods: Summary statistics from genome-wide association studies (GWAS) for VEGF and VTE were obtained from published meta-analysis studies and the FinnGen consortium, respectively. Independent genetic variables significantly associated with exposure were selected as instrumental variables. Linkage disequilibrium score …

Expressiveness Of Real-Time Motion Captured Avatars Influences Perceived Animation Realism And Perceived Quality Of Social Interaction In Virtual Reality, Alan D. Fraser, Isabella Branson, Ross C. Hollett, Craig P. Speelman, Shane L. Rogers

Research outputs 2022 to 2026

Using motion capture to enhance the realism of social interaction in virtual reality (VR) is growing in popularity. However, the impact of different levels of avatar expressiveness on the user experience is not well understood. In the present study we manipulated levels of face and body expressiveness of avatars while investigating participant perceptions of animation realism and interaction quality when disclosing positive and negative experiences in VR. Moderate positive associations were observed between perceptions of animation realism and interaction quality. Post-experiment questions revealed that many of our participants (approximately 40 %) indicated the avatar with the highest face and body …