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Elena Mazurova

Biographic Data

ID9638746
NAMEElena Mazurova
GIVEN NAMESElena
FAMILY NAMEMazurova
SIGNATUREMAZUROVA E
AFFILIATIONSUniversity of Liège
ORCID0009-0003-5869-3970
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Implementing artificial intelligence across task types

    Open Access•Elena Mazurova, Willem Standaert•ARTICLE•Information Technology and People•2024

    Purpose This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling. Design/methodology/approach Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakehol…

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  • Implementing artificial intelligence across task types

    Open Access•Elena Mazurova, Willem Standaert•ARTICLE•Information Technology and People•2024

    Purpose This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling. Design/methodology/approach Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakehol…

Affordance (1 work) · AI in Service Interactions (1 work) · Artificial Intelligence (1 work) · Automation (1 work) · Computer Science (1 work) · Digital Transformation in Industry (1 work) · Engineering (1 work) · Ethics and Social Impacts of AI (1 work) · Human–computer interaction (1 work) · Knowledge management (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae