WiM-Based Group Navigation for Collaborative Virtual Reality

Chheang, Vuthea; Heinrich, Florian; Joeres, Fabian; Saalfeld, Patrick; Barmaki, Roghayeh; Preim, Bernhard; Hansen, Christian

doi:10.1109/aivr56993.2022.00018

Cited by 5 publications

(4 citation statements)

References 66 publications

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“…Integrating artificial intelligence (AI), e.g., generative AI assistant [7], and cloud-based sensing data center, including Omiverse and AWS Digital Twins in the virtual environment would be interesting. Moreover, exploring the integration of multimodal data and progressive refinement interfaces to enhance the realism and fidelity of AM could be crucial as well.…”

Section: Discussionmentioning

confidence: 99%

A Virtual Environment for Collaborative Inspection in Additive Manufacturing

Chheang,

Weston,

Cerda

et al. 2024

Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

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Section: Discussionmentioning

confidence: 99%

A Virtual Environment for Collaborative Inspection in Additive Manufacturing

Chheang,

Weston,

Cerda

et al. 2024

Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

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“…Figure 7: Interface screenshot of an immersive VR environment for human anatomical education, including an embodied photorealistic human virtual assistant integrated with the generative AI service ChatGPT [11]. The authors' work for this visualization is two-fold: in the immersive VR environment, they must show the user of the ease of interaction and pedagogical parity with the physical dissection environment.…”

Section: Pedagogies Of Sightmentioning

confidence: 99%

“…These new technologies face the same parallel challenges of conveying the data and of making a case for the utility of the method that generated the visual, as did past advances like the X-ray. Chheang et al's [11] generative AI assistant in a virtual reality anatomy education environment is but one recent example of a new pedagogy of sight (Figure 7). In this application, the authors need to train and convince a new user base of the validity and utility of virtual reality environments as opposed to traditional presence human cadaver dissection.…”

Section: Pedagogies Of Sightmentioning

confidence: 99%

When the Body Became Data: Historical Data Cultures and Anatomical Illustration

Correll,

Garrison

2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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With changing attitudes around knowledge, medicine, art, and technology, the human body has become a source of information and, ultimately, shareable and analyzable data. Centuries of illustrations and visualizations of the body occur within particular historical, social, and political contexts. These contexts are enmeshed in different so-called data cultures: ways that data, knowledge, and information are conceptualized and collected, structured and shared. In this work, we explore how information about the body was collected as well as the circulation, impact, and persuasive force of the resulting images. We show how mindfulness of data cultural influences remain crucial for today's designers, researchers, and consumers of visualizations. We conclude with a call for the field to reflect on how visualizations are not timeless and contextless mirrors on objective data, but as much a product of our time and place as the visualizations of the past. CCS CONCEPTS• Human-centered computing → Visualization theory, concepts and paradigms; Human computer interaction (HCI); • Applied computing → Life and medical sciences.

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“…Generative AI is used in entertainment to produce lifelike environments and characters for films and video games. Furthermore, natural language processing uses generative AI to produce content that appears human for chatbots and virtual assistants [7].…”

Section: Generative Ai: Architecture Uses and Applicationsmentioning

confidence: 99%

Frontiers of Artificial Intelligence Versus Generative, Explainable and Quantum Technologies: An Overview

2024

OAJDA

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Generative AI can produce content that is similar to human ingenuity, revolutionizing a number of industries with lifelike outputs like music and images. Misinformation and intellectual property rights give rise to ethical concerns. Notwithstanding these difficulties, generative AI has the potential to spur additional innovation in a variety of sectors, subject to moral issues. The goal of explainable AI (XAI) is to improve AI systems’ accountability and transparency, which is essential for their inclusion into industries like banking and healthcare. However, in order to effectively explain complicated AI systems, strong XAI techniques are required. Quantum artificial intelligence (QAI) promises improvements in cryptography and optimization by using quantum physics to speed up AI systems. However, there are still difficulties in creating practical quantum computers and improving quantum AI algorithms. The present overview provides new insights into developing a platform to explore AI in various arenas of life sciences and technologies and social up-gradation.

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WiM-Based Group Navigation for Collaborative Virtual Reality

Cited by 5 publications

References 66 publications

A Virtual Environment for Collaborative Inspection in Additive Manufacturing

A Virtual Environment for Collaborative Inspection in Additive Manufacturing

When the Body Became Data: Historical Data Cultures and Anatomical Illustration

Frontiers of Artificial Intelligence Versus Generative, Explainable and Quantum Technologies: An Overview

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