Collaborative Visualization Research Articles

ARGV: 3D genome structure exploration using augmented reality

Over the past two decades, scientists have increasingly realized the importance of the three-dimensional (3D) genome organization in regulating cellular activity. Hi-C and related experiments yield 2D contact matrices that can be used to infer 3D models of chromosome structure. Visualizing and analyzing genomes in 3D space remains challenging. Here, we present ARGV, an augmented reality 3D Genome Viewer. ARGV contains more than 350 pre-computed and annotated genome structures inferred from Hi-C and imaging data. It offers interactive and collaborative visualization of genomes in 3D space, using standard mobile phones or tablets. A user study comparing ARGV to existing tools demonstrates its benefits.

ViCubeLab-An Integrated Platform Using VR to Visualise and Analyse Road Traffic Conditions

The main contribution of this paper is to introduce a framework for integrating Machine Learning (ML), Human, and Virtual Reality (VR) into one platform to promote a collaborative visualisation environment that can assist in better analysis and improve the human-machine teaming capability. This platform was demonstrated using a case study in ana-lysing road traffic conditions. The ‘Ab-normal Machine Learning Road Traffic Detection in VR (AbnMLRTD-VR)’ prototype system was developed to assist the human analyst. The proposed system has two main integrative components: a data-driven ML model and a 3D real-time visualisation in a VR environment. An unsupervised ML model was built using real traffic data. The AbnMLRTD-VR system highlights the outliers in the road sections in actual road contexts of a road traffic network. This gives the human analyst a 3D real-time immersive visualisation in a VR environment to evaluate road conditions. The AbnMLRTD-VR system demonstrated that it could help minimise the need for human pre-labelling of the data. It enables the visualisation of the road traffic conditions more meaningfully and to understand the context of the road traffic conditions of road sections at any given time.

Electronic Visualization Laboratory's 50th Anniversary Retrospective: Look to the Future, Build on the Past

Abstract September 2023 marks the 50th anniversary of the Electronic Visualization Laboratory (EVL) at University of Illinois Chicago (UIC). EVL's introduction of the CAVE Automatic Virtual Environment in 1992, the first widely replicated, projection-based, walk-in, virtual-reality (VR) system in the world, put EVL at the forefront of collaborative, immersive data exploration and analytics. However, the journey did not begin then. Since its founding in 1973, EVL has been developing tools and techniques for real-time, interactive visualizations—pillars of VR. But EVL's culture is also relevant to its successes, as it has always been an interdisciplinary lab that fosters teamwork, where each person's expertise contributes to the development of the necessary tools, hardware, system software, applications, and human interface models to solve problems. Over the years, as multidisciplinary collaborations evolved and advanced scientific instruments and data resources were distributed globally, the need to access and share data and visualizations while working with colleagues, local and remote, synchronous and asynchronous, also became important fields of study. This paper is a retrospective of EVL's past 50 years that surveys the many networked, immersive, collaborative visualization and VR systems and applications it developed and deployed, as well as lessons learned and future plans.

Exploring Interactive Learning Environments Based on Augmented Reality Technology

With the rapid advancement of digital technology, the application of augmented reality (AR) in the field of education has emerged as a focal point of research aimed at enhancing learning efficiency and experience through innovative interactive learning environments. This study focuses on the application of AR technology in education. The goal is to address key technical issues present in existing AR interactive learning environments to promote their widespread adoption in educational settings. An analysis of the current application of AR technology in education is conducted, focusing on its potential to enhance learners’ motivation and comprehension capabilities. However, a common shortfall in existing research methodologies has been identified, namely inadequate control over node consistency and deficient design of collaborative visualization components. These limitations restrict interaction and collaborative efficiency within AR learning environments. In response, a novel predictive algorithm for node consistency control is proposed, significantly enhancing real-time interaction and coherence among multiple learners through optimized information synchronization mechanisms. Furthermore, a set of collaborative visualization components is designed to be personalized according to learners’ behavioral and cognitive characteristics, thereby supporting more effective team-based learning. The outcomes of this study not only provide new theoretical and technical support for the design and implementation of AR interactive learning environments but also offer a fresh perspective on the future direction of educational technology.

Global dioxin research trends and focal points: A century-long visual and bibliometric analysis (1923-2022).

Dioxin-like compounds, recognized by the World Health Organization (WHO) as among the most enduring toxic chemical substances in the environment, are linked to various occupational activities and industrial accidents worldwide. The aim of this study was to examine and present research publications on dioxins, pinpoint current research trends, identify research gaps, and highlight potential avenues for future exploration in the field. The study period for relevant research articles ranged from 1923 to December 31, 2022, and these articles were sourced from the Scopus database. The analysis involved the identification of key contributors to the field and the visualization of topics, themes, and international collaboration. VOSviewer software (version 1.6.20) was used for visualization analysis. A total of 11,620 publications on dioxins were documented in the Scopus database. The predominant category of these documents comprised 9780 original articles, which represents 84.17% of the total publications. The United States lead in the number of publications, with 3992 (34.35%), followed by Japan, with 1429 (12.3%), China, with 1005 (8.65%), and Germany, with 974 (8.38%). Before 2002, scholarly attention in this field focused primarily on the health effects, environmental fate, and mechanism of toxicity of tetrachlorodibenzo-p-dioxin (TCDD). However, a noticeable change in research focus has been observed since 2002, highlighting the emergence of a topic related to the health effects and environmental fate of polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PFDFs). This study is the first to conduct a comprehensive quantitative bibliometric analysis of dioxins over time. These findings indicate a significant increase in the overall growth of the dioxin literature over the past 30 years. These findings may prove crucial in guiding and organizing subsequent investigations related to dioxins.

Navigating the Web of Influence: A Bibliometric Analysis of Social Media Addiction.

Social media addiction is a behavioral dependency characterized by excessive and compulsive use of social media platforms, leading to negative impacts on various aspects of an individual's life. Bibliometric analysis is a research method used to quantitatively analyze academic literature, such as articles, books, and conference papers. It involves the application of statistical and mathematical tools to study the patterns and trends in scientific publications. This bibliometric study provides a comprehensive analysis of the literature on social media addiction, revealing patterns and dynamics within the field. Utilizing Web of Science for bibliographic data, the study employs advanced bibliometric tools like Biblioshiny and CiteSpace to map the scientific landscape. Annual scientific production, top contributing authors, key sources, trending topics, and thematic maps were identified using Biblioshiny. Additionally, network visualizations, such as co-citation networks of authors, time zone network visualizations of keyword co-occurrence, and timeline network visualizations of country collaborations, were created using CiteSpace. Our findings present an increasing trend in publications over the years, highlighting a growing recognition of social media addiction's significance. We detail the most relevant authors and sources, pinpointing key contributors and influential journals that shape the discourse. Trend topics analysis uncovers the prevalent themes, with "internet addiction" and "adolescents" at the forefront, reflecting the field's concentration on the younger population. The thematic map categorizes the research into motor themes (driving research areas), basic themes (fundamental and well-established areas), and niche themes (specialized and emerging topics), providing insight into the central and evolving topics. The study also delves into the co-occurrence of all keywords and the co-citation of authors, illustrating the interconnected nature of the research community. A timeline network visualization of country collaborations underscores the global scope of research efforts. Importantly, the study identifies critical research gaps such as underexplored demographics and emerging digital concerns and discusses practical implications, including the need for targeted intervention programs and informed policy-making. Collectively, this study charts the trajectory of social media addiction research and lays a foundation for future explorations to address identified lacunae.

Simulation of Communication Paths with Social Network Analysis as the Core and CAD Collaborative Visualization

Simulation of Communication Paths with Social Network Analysis as the Core and CAD Collaborative Visualization

Challenges of Implementing Packaging Design in Rural Food Entrepreneurship Owned by Underprivileged Women – A Case Study

This project was implemented to help low-income and underprivileged women grow their small businesses. This project aims to identify and analyse the problems faced by underprivileged women, focusing on food packaging. The participants were from Kampung Pinggan Jaya, Kuching Sarawak in Malaysia, who run small and medium food businesses. The food categories were based on dry and frozen foods, which were mainly homemade. The participants were housewives aged between 30 and 45 years with low monthly household incomes ranging from US $45 (MYR 200) to US $168 (MYR 750). Thus, the project's main objective is to improve product packaging to establish itself in the local market. Empathy mapping was the technique of choice as it demonstrates collaborative visualisation. Consequently, an entrepreneurship workshop was organised to identify potential products and participants interested in the project. Some problems and constraints during project implementation were due to financial concerns, attitudes, and illiteracy.

Retracted: Design of Image Processing Technology Support System in Human-Computer Collaborative Visual Design Assisted by Artificial Intelligence Technology

Retracted: Design of Image Processing Technology Support System in Human-Computer Collaborative Visual Design Assisted by Artificial Intelligence Technology

Out-of-hospital cardiac arrest: A data-driven visualization of collaboration, frontier identification, and future trends.

One of the main causes of death is out-of-hospital cardiac arrest (OHCA), which has a poor prognosis and poor neurological outcomes. This phenomenon has attracted increasing attention. However, there is still no published bibliometric analysis of OHCA. This bibliometric analysis of publications on OHCA aimed to visualize the current status of research, determine the frontiers of research, and identify future trends. Publications on OHCA were downloaded from the web of science database. The data elements included year, countries/territories, institutions, authors, journals, research areas, citations of publications, etc. Joinpoint regression and exponential models were used to identify and predict the trend of publications, respectively. Knowledge domain maps were applied to conduct contribution and collaboration, cooccurrence, cocitation, and coupled analyses. Timeline and burst detection analysis were used to identify the frontiers in the field. A total of 3 219 publications on OHCA were found from 1998 to 2022 (average annual percentage change = 16.7; 95% CI 14.4, 19.1). It was estimated that 859 articles and reviews would be published in 2025. The following research hotpots were identified: statement, epidemiology, clinical care, factors influencing prognosis and emergency medical services. The research frontier identification revealed that 7 categories were classified, including therapeutic hypothermia, emergency medical services, airway management, myocardial infarction, extracorporeal cardiopulmonary resuscitation, stroke foundation and trial. The burst detection analysis revealed that percutaneous coronary intervention, neurologic outcome, COVID-19 and extracorporeal cardiopulmonary resuscitation are issues that should be given continual attention in the future. This bibliometric analysis may reflect the current status and future frontiers of OHCA research.

Penerapan Metode Visualisasi Kolaborasi Aksi (ViKA) pada Pembelajaran Menyimak Teks Berita Kelas VIII

The learning method is an important part of the learning component. The selection of the right learning method can support the maximum achievement of learning objectives. Learning methods must continue to innovate so that it is not monotonous and boring for students. The Action Collaboration Visualization Method (ViKA) is one of the innovative and creative Indonesian language learning methods. The ViKA method is used in learning to listen to news texts for class VIII. The aims of this study are (1) to describe the Visualization of Collaborative Action (ViKA) method, (2) to describe the preparation for the application of the ViKA method in learning to listen to news texts for class VIII, (3) to describe the steps in applying the ViKA method in learning to listen to news texts for class VIII, (4) describe the advantages and disadvantages of the ViKA method. The method used in this research is descriptive qualitative. The main data source in this research is the ViKA learning method. The research instrument used was student worksheets related to news text elements. Data collection techniques using documentation techniques. This study uses descriptive data analysis techniques in the form of an explanation of the ViKA learning method. The subjects in this study were 15 grade VIII students. The results of this study indicate that there are differences in the results of student worksheets before and after the ViKA method is applied. Student worksheet results have increased after the ViKA method was applied. An abstract must be in English, consists of 150-250 words length, and contains at least: general theme of the article, focus, question, method, and general argument or main finding. Use this document as a template if you are using Microsoft Word 7.0 or later. Otherwise, use this document as an instruction set.

Analysis and Mapping of Scientific Literature on Detention and Deportation of International Migrants (1990-2022).

Millions of people cross political borders yearly without having the proper documents. This has led to increased detention and deportation practices in destination countries for reasons related to security and sovereignty. The objective of the current study was to analyze and visualize research publications on the detention and deportation of migrants to identify current research hotspots, research gaps, and potential future research in the field. Relevant research articles were obtained from the Scopus database for the study period from 1900 to December 31, 2022. The analysis included presentations of key contributors to the field and visualization of topics, themes, and international collaboration. In total, 906 articles were found. The earliest was in 1982. The majority of articles were published in journals within the subject areas of social sciences and humanities. The number of publications showed a steep rise from 2011 to 2022. The Journal of Ethnic and Migration Studies was the most prolific, but publications in the Citizenship Studies journal received the highest number of citations per article. Researchers from the United States contributed the most. Mexico ranked fifth in the number of publications. Oxford University was the most prolific institution, followed by three universities in Australia. The majority of articles were single-authored, indicative of limited author-author collaboration. Research hotspots in the field were "human rights" and "mental health". The detention and deportation of Mexican and other Latino migrants in the United States constituted a distinct research theme in the field. International research collaboration was limited by geographical proximity (e.g., the United States and Mexico) or common language (e.g., the United Kingdom and Australia). Future research topics should focus on alternatives to detention, family separation, and healthcare services for detained migrants. Research activity on detention and deportation is required from all world regions, including the source countries of migrants. Future research should promote alternatives to traditional detentions. The contribution of countries in Africa, the Middle East, and South-Eastern Asian regions needs to be encouraged. Future research on the detention and deportation of non-Latino migrants is highly required.

Design of Image Processing Technology Support System in Human-Computer Collaborative Visual Design Assisted by Artificial Intelligence Technology

Aiming at the problems of high cleaning intensity, low efficiency, and hidden safety hazards of high-altitude curtain walls, this study proposes that the image processing method is a kind of image processing technology in human-computer collaborative visual design. The algorithm uses generalized mapping to scramble the picture and then expands and replaces the scrambled pictures one by one through the image processing technical support system. Studies have shown that this calculation method has mixed pixel values, good diffusion performance, and strong resistance performance. The pixel distribution of the processed image is relatively random, and the features of similar loudness are not relevant. It is proved through experiments that the above calculation methods have strong safety performance.

The visual online tools for collaborative learning and icebreaker activities

Problem statement. The study is aimed to explore how have transformed the traditional approaches of collaborative learning under the influence of new digital environment? And what are the ways of introducing online group activities, precisely icebreakers? Methodology . Authors choose Miro and Mural as the visual platforms for group work activities that enable users to collaborate and customize workspace to better suit their needs. They compared and tested both platforms across six categories: pricing, interface, templates, integrations, customization, collaboration. Results . Authors reach the conclusion that Miro has a significantly larger selection of templates, integrations and apps to choose from. The user interface has a design consistency that ties UI elements together with distinguishable and predictable actions and creates a great user experience overall. Mural offers more facilitation features, which undoubtedly also makes it a powerful tool. But if the price of the tool is also of great importance, Mural might be the right choice. Moreover, there have been considered the approaches of how to organize icebreaker games during the virtual meeting or workshop in Miro and Mural. Authors suggest several exercises: create own character, questions from a bucket, puzzle, world map, five common things, two lies - one truth, take a photo of the desk. Conclusion. Online-whiteboards like Miro and Mural effectively support warm-ups and collaborative visualization in the online environment and allow to achieve higher level of participation than in face-to-face communication.

Dyslipidemia research landscape and socioeconomic facilitators of scientific productivity in Southeast Asia

BackgroundThe growing prevalence of lipid disorder in Southeast Asia (SEA) resulted in an increase in clinical and epidemiological studies on dyslipidemia in the region. Thus, there is a need to summarize the existing evidence from the literature. AimsThis paper determined the research landscape of dyslipidemia in SEA. This study also identified the socioeconomic facilitators of scientific productivity in dyslipidemia research in SEA. MethodsA database search of dyslipidemia literature in SEA countries was performed using the Scopus database. Bibliographic information was obtained, and network visualization of collaboration among countries and keywords was created using VOSviewer software. ResultsThis bibliometric analysis showed a continuous increase in published articles in SEA, most of which were from universities and hospitals in Thailand, Singapore, Malaysia, and Indonesia. The usual topics of dyslipidemia research in SEA include epidemiology, pathophysiology, comorbidities and complications, and treatment options for dyslipidemia. Research & development expenditure (total citations: p = 0.037; h-index: p = 0.031) and researchers in R&D (total citations: p = 0.005; h-index: p = 0.017) were positively correlated with citations and h-index for dyslipidemia publications from SEA countries. Moreover, the number of research collaborations within SEA and worldwide was positively correlated with the total publications, citations, and h-index of SEA countries for their dyslipidemia research outputs. ConclusionIn summary, this bibliometrics study showed an increasing trend of dyslipidemia research in SEA countries. Policymakers and administrators should invest more in dyslipidemia studies to propose better strategies in curbing the prevalence of this condition in SEA.

Visualization of scientific collaboration and themes for arbovirus disease in the caribbean: A forty-year trend analysis with focus on dengue, Zika and Chikungunya

BackgroundThe (re-)emergence of arboviruses in the Caribbean, and worldwide, is a major public health issue of concern to all scientific research stakeholders. This study aimed to use bibliometric analysis to identify the contribution of Caribbean countries to scientific production regarding the three arboviruses with the greatest impact, namely zika, chikungunya and dengue. MethodBibliographic data related to arbovirus diseases were collected from three international databases (Web of Science, Pubmed, and Scopus), filtered by Caribbean islands of affiliation. VosViewer was used to identify scientific connections between countries or institutions and to identify research themes. ResultsThe dataset comprised 1332 indexed articles, with 50% of articles categorized in the top quartile of quality. Cuba was found to lead research on dengue, with a total of 300 articles, and 18 international connections. The USA-Puerto Rico duo was found to be the leader on emerging arboviruses (Zika and Chikungunya), followed by a predominantly French-language cluster (mainland France, Guadeloupe, Martinique). Key research topics were related to clinical presentations, epidemiology, and research on mosquito-borne viruses ConclusionsCo-authorship network analysis on emerging arboviruses revealed the dynamics of collaboration, and provides insights into Caribbean collaborations that deserve to be created and consolidated in case of resurgence of new arbovirus epidemics.

Cross-virtuality analysis of rich X-ray computed tomography data for materials science applications

ABSTRACT We demonstrate a collaborative visualisation framework using a traditional desktop-based setup together with a virtual reality-based system for the analysis of rich X-Ray Computed Tomography Data (XCT) from composite materials. The framework supports experts in the time-consuming and cognitively demanding task of analysing objects, in particular, curved fibres and pores, along with their characteristics, such as length, orientation, or shape. Our framework employs visualisation methods in virtual reality focusing on a detailed spatial impression, combined with desktop-based methods on a large-screen multi-touch display focusing on analysing characteristics and their distributions. We provide two case studies on fibre-reinforced polymer (FRP) datasets, showcasing the potential of our framework. One case study analyses a FRP containing short, strongly curved polyethylene terephthalate fibres. A second study explores small elliptic pores inside a carbon FRP dataset. Our preliminary results show that the addition of virtual reality to the classical desktop-based workflow can enhance the spatial understanding of the dataset, encourage collaboration, as well as foster engagement with the data.

How collaborative is Indian academia? A case study of top three ranked institutions

The present study employs bibliometric methods to examine the pattern of existing collaboration in India’s top three ranked academic institutes using publications for the period 2000 to 2020 indexed in Web of Science. The results show although the number of collaborations and the degree of collaboration have increased over time. However, the collaboration coefficient remains almost the same in the three institutes. The lesser negative Pearson correlation between authors and articles with a higher positive Pearson correlation between articles and citations for JNU publications suggests that collaboration with a smaller group is more successful than a larger group for gaining citations. Collaborative publications of Banaras Hindu University (36%) and Indian Institute of Science (33%) are more inclined towards authors of the same department, while for Jawaharlal Nehru University, it is with other authors from different universities (41%). The foreign collaboration for all three institutes is almost the same. The network visualization of collaboration in three institutes suggests that the collaborative research in IISc is more diverse than JNU or BHU and in national collaboration,distance between two national organizations also play an important role for strong collaboration. Overall, theoretical aspects of physics lead in collaborative publications followed by chemical sciences. Agricultural biotechnology, clinical medicine, polymer sciences and nanoscience are some emerging disciplines where organizations are increasing their participation through collaborative research.

Point specification in collaborative visualization for 3D scalar fields using augmented reality

We compared three techniques to specify 3D positions for collaborative augmented reality (AR) visualization. AR head-mounted displays allow multiple users to share the same physical space, while keeping seamless social interactions. Interactions being key parts of exploratory visualization tasks, we adapted from the virtual reality literature three distinct techniques to specify points in 3D space, such as for placing annotations for which they cannot rely on existing data objects. We evaluated these techniques on their accuracy and speed, the user’s subjective workload and preferences, as well as their co-presence, mutual understanding, and behavior in collaborative tasks. Our results suggest that all the three techniques provide good mutual understanding and co-presence among collaborators. They differ, however, in the way users behave, their accuracy, and their speed.

Biochar in the 21st century: A data-driven visualization of collaboration, frontier identification, and future trend

The massive amounts of publication data are highly valuable, because in addition to the advancement in science, technology, and policy, such data can provide critical information and guidance on what have been published, what topical changes have evolved, and what are the trending fields deserving more attention. In the 21st century, biochar has played an indispensable role in the long-term global development strategies in response to “Carbon neutralization”, “Agricultural management”, and “Environmental restoration”, and accumulated many high-quality publications. Herein, this study provides a new data-driven bibliometric analysis strategy and framework for mining the core content of massive literature data, and aims at bringing unique insights for the research prospects as well as opportunities of biochar. The results show that biochar researches have made great progress from 1999 to 2020, but cross-disciplinary teamwork should be further emphasized. The research frontier identification reveals that sewage treatment, efficient removal, and functional composite materials will be the issues which must be paid continual attention at present and in the future. Furthermore, studies on global climate impact, biomass resource utilization, carbon sequestration, carbon cycle, and even the negative effects of biochar have gradually begun to be taken seriously.