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Analysis of institutional authors

Mestre, ACorresponding Author

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October 11, 2024
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Proceedings Paper
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Towards a Hybrid Intelligence Paradigm: Systematic Integration of Human and Artificial Capabilities

Publicated to:Lecture Notes In Business Information Processing. 514 149-156 - 2024-01-01 514(), DOI: 10.1007/978-3-031-59468-7_17

Authors: Mestre, A

Affiliations

ValgrAI Valencian Grad Sch & Res Network Artifici - Author

Abstract

The evolution of Artificial Intelligence from traditional inference-based systems to sophisticated generative models has blurred the boundaries between machine and human capabilities, giving rise to Hybrid Intelligence (HI). HI represents a symbiotic relationship between human and artificial intelligence, integrating human wisdom and expertise with machine intelligence. This work aspires to explore the paradigm shift towards HI, with a focus on integrating human expertise with machine intelligence. It aims to address challenges in human-machine interaction and dynamic task management within HI systems, emphasizing the necessity for seamless integration to fully exploit the capabilities of both entities. Through interdisciplinary collaboration and empirical inquiry, this research endeavors to advance understanding and implementation of HI systems across diverse domains, paving the way for systems that harness the intelligence of humans and machines to tackle complex challenges.

Keywords

Dynamic task managementHuman-centered artificial intelligenceHuman-machine interactionHuman-robot collaborationHybrid intelligence

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Lecture Notes In Business Information Processing, Q3 Agency Scopus (SJR), its regional focus and specialization in Modeling and Simulation, give it significant recognition in a specific niche of scientific knowledge at an international level.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-04:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 11 (PlumX).

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Araujo, J) and Last Author (Araujo, J).

the author responsible for correspondence tasks has been Mestre Gascón, Antoni.