An approach towards data visualization based on AR principles

Hirve, Sumit Arun; Kunjir, Ajinkya; Shaikh, Basil; Shah, K.

doi:10.1109/icbdaci.2017.8070822

Cited by 18 publications

(9 citation statements)

References 9 publications

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“…damage and their subsequent severe economic and environmental impacts [42]. In VR, a user is submerged into a full 3D experience, in which the physical objects are linked to the virtual world [43]. A case of VR application for optimizing the WEEE disassembly process [35] is presented in Section 2.3.…”

Section: Data Analysis and Artificial Intelligence Algorithmsmentioning

confidence: 99%

Information and Communication Technology Solutions for the Circular Economy

2020

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The concept of circular economy (CE) is becoming progressively popular with academia, industry, and policymakers, as a potential path towards a more sustainable economic system. Information and communication technology (ICT) systems have influenced every aspect of modern life and the CE is no exception. Cutting-edge technologies, such as big data, cloud computing, cyber-physical systems, internet of things, virtual and augmented reality, and blockchain, can play an integral role in the embracing of CE concepts and the rollout of CE programs by governments, organizations, and society as a whole. The current paper conducts an extensive academic literature review on prominent ICT solutions paving the way towards a CE. For the categorization of the solutions, a novel two-fold approach is introduced, focusing on both the technological aspect of the solutions (e.g., communications, computing, data analysis, etc.), and the main CE concept(s) employed (i.e., reduce, reuse, recycle and restore) that each solution is the most relevant to. The role of each solution in the transition to CE is highlighted. Results suggest that ICT solutions related to data collection and data analysis, and in particular to the internet of things, blockchain, digital platforms, artificial intelligence algorithms, and software tools, are amongst the most popular solutions proposed by academic researchers. Results also suggest that greater emphasis is placed on the “reduce” component of the CE, although ICT solutions for the other “R” components, as well as holistic ICT-based solutions, do exist as well. Specific important challenges impeding the adoption of ICT solutions for the CE are also identified and reviewed, with consumer and business attitude, economic costs, possible environmental impacts, lack of education around the CE, and lack of familiarization with modern technologies being found among the most prominent ones.

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Section: Data Analysis and Artificial Intelligence Algorithmsmentioning

confidence: 99%

Information and Communication Technology Solutions for the Circular Economy

2020

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“…One of the areas in which artificial intelligence (AI) has radically changed is data visualization tools, where the analysis and interaction between data and businesses/organizations have become effective. Through adopting advanced AI technologies like machine learning, NLP and computer vision, these AI-powered platforms are creating a revolutionary shift in data interpretation, which aims to produce smart, interactive, and informative visualizations that will surely play a significant part in the decision-making process [23].…”

Section: Ai-powered Data Visualization Tools and Platformsmentioning

confidence: 99%

AI-Enhanced Data Visualization: Transforming Complex Data into Actionable Insights

Devineni

2024

JTS

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Purpose: The purpose of this study is to explore how artificial intelligence (AI) becomes a part of data visualization. Thus, data from complex datasets are transformed into dynamic, interactive, and personalized visual experiences that will help in deeper insights and actionable knowledge. The research is supposed to design a holistic system and rules for using AI to make data visualization more effective and super interactive for the users. Methodology: The methodology involves the in-depth examination of artificial intelligence-based data visualization tools and platforms by using case studies. The study analyses the impact of AI technologies such as machine learning, natural language processing, and augmented and virtual reality on the scalability, interactivity, and personalization of data visualizations. The sentence also talks about the analysis of the moral factors that are part of the process of introducing AI in data visualization. Findings: The findings indicate that AI greatly improves the process and the quality of data visualization, thus, it makes possible the management of big, complicated, multi-dimensional datasets in a more efficient and precise way. The AI-driven tools give the users the opportunity to see the actions that are happening in real-time, predict the results, and personalize the tools according to their individual needs, thereby increasing the decision-making processes. Furthermore, ethical issues like data privacy, bias, and transparency must be well managed. This research has the distinctive feature of providing a theoretical framework that emphasizes the importance of AI in the development of data visualization technologies. Unique contribution to theory, policy and practice: In practice, it gives the rules for the implementation of AI tools to achieve more effective and user-focused visualizations. The policy focuses on the necessity of ethical standards in AI deployments, which means the data visualization practices should be transparent, accountable, and bias-free, thus creating trust and reliability in the AI applications.

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“…the possibility of visualizing large Data in three-dimensional view (3D) with Augmented Reality (AR) and its basic principles. The proposed research can be improved in the future by adding and mapping more concepts to large Data and developing advanced algorithms that can visualize data in 3D format and facilitate user understanding [6].…”

Section: Related Workmentioning

confidence: 99%

Virtual gasoline engine based on augment reality for mechanical engineering education

et al. 2018

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This paper aims to create virtual gasoline engine based on Augment Reality which are used to study working principle of gasoline engine in mechanical engineering of higher education institution. The Application can help participants learn to understand the working principle of a gasoline engine with three-dimensional visualization (3D) through an android smartphone device. The current learning process is still using the practicum module and engine stand to carry out practicum activities, the method makes the participants learn bored in addition to having to share with other students because of limited time practicum that has been determined so that learning activities become less effective. Augmented Reality is a technological innovation that is currently developing where with the technology we can combine virtual objects into the real world directly with the form of three-dimensional (3D). The working principle of the gasoline engine will be presented using a three-dimensional multimedia visualization embedded in the application. The learning module consists of a didactic model and a form of learning. A special feature of this application is the use of three-dimensional visualization that can be operated via desktop computers and smartphones by utilizing the camera facility as a marker.

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An approach towards data visualization based on AR principles

Cited by 18 publications

References 9 publications

Information and Communication Technology Solutions for the Circular Economy

Information and Communication Technology Solutions for the Circular Economy

AI-Enhanced Data Visualization: Transforming Complex Data into Actionable Insights

Virtual gasoline engine based on augment reality for mechanical engineering education

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