The value creation potential of digital humans
- URL: http://arxiv.org/abs/2311.09226v1
- Date: Fri, 29 Sep 2023 10:57:07 GMT
- Title: The value creation potential of digital humans
- Authors: Araz Zirar
- Abstract summary: 'Digital humans' are digital reproductions of humans powered by artificial intelligence (AI)
This article explores the value creation potential and the value realisation limitations of digital humans.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: 'Digital humans' are digital reproductions of humans powered by artificial
intelligence (AI) and capable of communicating and forming emotional bonds. The
value creation potential of digital humans is overlooked due to the limitations
of digital human technologies. This article explores the value creation
potential and the value realisation limitations of digital humans. The analysis
is based on a review of 62 articles retrieved from the Web of Science database.
The analysis suggests that digital humans have the potential to alleviate
labour and skill shortages, reduce the natural human element in high-risk
tasks, avoid design errors, improve the ergonomics of products and workplaces,
and provide guidance and emotional support, all of which will benefit natural
humans in the workplace. However, technical limits, evolving understanding of
digital humans, the social significance and acceptance of digital humans,
ethical considerations, and the adjustment of legal tradition limit the value
realisation. This review suggests that digital humans' perceived usefulness and
ease of development determine organisations' willingness to utilise this
technology. Overcoming the limitations, which still involve engineering
challenges and a change in how they are perceived, will positively affect
realising the value potential of digital humans in organisations.
Related papers
- Digitizing Touch with an Artificial Multimodal Fingertip [51.7029315337739]
Humans and robots both benefit from using touch to perceive and interact with the surrounding environment.
Here, we describe several conceptual and technological innovations to improve the digitization of touch.
These advances are embodied in an artificial finger-shaped sensor with advanced sensing capabilities.
arXiv Detail & Related papers (2024-11-04T18:38:50Z) - Engineering Digital Systems for Humanity: Challenges and Opportunities [7.056824589733873]
Social and human values, besides the traditional software behaviour and quality, are recognized as important for sustainability and long-term well-being.
We identify macro and technological challenges and opportunities of present and future digital systems that should be engineered for humanity.
arXiv Detail & Related papers (2024-06-13T12:53:59Z) - HINT: Learning Complete Human Neural Representations from Limited Viewpoints [69.76947323932107]
We propose a NeRF-based algorithm able to learn a detailed and complete human model from limited viewing angles.
As a result, our method can reconstruct complete humans even from a few viewing angles, increasing performance by more than 15% PSNR.
arXiv Detail & Related papers (2024-05-30T05:43:09Z) - On the Emergence of Symmetrical Reality [51.21203247240322]
We introduce the symmetrical reality framework, which offers a unified representation encompassing various forms of physical-virtual amalgamations.
We propose an instance of an AI-driven active assistance service that illustrates the potential applications of symmetrical reality.
arXiv Detail & Related papers (2024-01-26T16:09:39Z) - A No-Reference Quality Assessment Method for Digital Human Head [56.17852258306602]
We develop a novel no-reference (NR) method based on Transformer to deal with digital human quality assessment (DHQA)
Specifically, the front 2D projections of the digital humans are rendered as inputs and the vision transformer (ViT) is employed for the feature extraction.
Then we design a multi-task module to jointly classify the distortion types and predict the perceptual quality levels of digital humans.
arXiv Detail & Related papers (2023-10-25T16:01:05Z) - Roadmap towards Meta-being [35.327845622733015]
We present the roadmap of Meta-being to construct the digital human in Metaverse.
We first need to model and render a digital human model for immersive display in Metaverse.
Then we add a dialogue system with audio, facial expressions, and movements for this digital human.
This digital human can be applied to many applications, such as education and exhibition.
arXiv Detail & Related papers (2023-03-13T00:54:42Z) - HERD: Continuous Human-to-Robot Evolution for Learning from Human
Demonstration [57.045140028275036]
We show that manipulation skills can be transferred from a human to a robot through the use of micro-evolutionary reinforcement learning.
We propose an algorithm for multi-dimensional evolution path searching that allows joint optimization of both the robot evolution path and the policy.
arXiv Detail & Related papers (2022-12-08T15:56:13Z) - Data-driven emotional body language generation for social robotics [58.88028813371423]
In social robotics, endowing humanoid robots with the ability to generate bodily expressions of affect can improve human-robot interaction and collaboration.
We implement a deep learning data-driven framework that learns from a few hand-designed robotic bodily expressions.
The evaluation study found that the anthropomorphism and animacy of the generated expressions are not perceived differently from the hand-designed ones.
arXiv Detail & Related papers (2022-05-02T09:21:39Z) - Future of work: ethics [0.0]
Over-automation seems to be the driver of the digitalization process.
Digital technology should be designed to enhance human skills and make more productive use of human cognition and capacities.
arXiv Detail & Related papers (2021-04-06T15:20:30Z) - Scientific Relevance and Future of Digital Immortality and Virtual
Humans [0.0]
We are on the threshold of a significant change in the way we view digital life, which will have a major effect on the physical world.
Computers have increasingly emulated deceased human beings through growing awareness in the fields of artificial intelligence, big data, and machine learning.
This article attempts to explain and challenge the ways in which digital immortality, in particular, has manifested itself.
arXiv Detail & Related papers (2021-01-09T22:11:16Z) - Digital me ontology and ethics [0.8223798883838329]
We define digital me as autonomous, decision-making, and learning agent, representing an individual and having practically immortal own life.
We discuss the implications of digital me metaethics, normative and applied ethics, the implementation of the Golden Rule in digital me-s, and we suggest two sets of normative principles for digital me.
arXiv Detail & Related papers (2020-12-22T09:54:04Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.