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Cristina Trocin

Biographic Data

ID9528759
NAMECristina Trocin
GIVEN NAMESCristina
FAMILY NAMETrocin
SIGNATURETROCIN C
AFFILIATIONSNorwegian University of Science and Technology
ORCID0000-0002-0710-8351
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Machine Learning (ML) diffusion in the design process

    Open Access•Cristina Trocin, Åsne Stige et al.•ARTICLE•Technological Forecasting and…•2023

    Traditionally, the design process has been performed by designers and developers with the aid of digital technologies. The proliferation of Machine Learning (ML) during the last years has been argued to boost the creative process of design. This includes simple tasks such as translating handwritten notes, suggesting layouts options but also more complex action possibilities like generation of new ideas and prototyping for their visualization. How…

  • How Artificial Intelligence affords digital innovation

    Open Access•Cristina Trocin, Ingrid Våge Hovland et al.•ARTICLE•Technological Forecasting and…•2021

    Artificial Intelligence (AI) is fuelling a new breed of digital innovation in Human Resource Management (HRM) by creating new opportunities for complying with General Data Protection Regulation (GDPR) during data collection and analysis, decreasing biases, and offering targeted recommendations. However, AI is also posing challenges to organisations and key assumptions about digital innovation processes and outcomes, making it unclear how to combi…

No prominent works on this page.

  • How Artificial Intelligence affords digital innovation

    Open Access•Cristina Trocin, Ingrid Våge Hovland et al.•ARTICLE•Technological Forecasting and…•2021

    Artificial Intelligence (AI) is fuelling a new breed of digital innovation in Human Resource Management (HRM) by creating new opportunities for complying with General Data Protection Regulation (GDPR) during data collection and analysis, decreasing biases, and offering targeted recommendations. However, AI is also posing challenges to organisations and key assumptions about digital innovation processes and outcomes, making it unclear how to combi…

  • Machine Learning (ML) diffusion in the design process

    Open Access•Cristina Trocin, Åsne Stige et al.•ARTICLE•Technological Forecasting and…•2023

    Traditionally, the design process has been performed by designers and developers with the aid of digital technologies. The proliferation of Machine Learning (ML) during the last years has been argued to boost the creative process of design. This includes simple tasks such as translating handwritten notes, suggesting layouts options but also more complex action possibilities like generation of new ideas and prototyping for their visualization. How…

Business (2 works) · Computer Science (2 works) · Human–computer interaction (2 works) · Knowledge management (2 works) · Process (computing) (2 works) · Process management (2 works) · Action (physics) (1 work) · Affordance (1 work) · Big Data and Business Intelligence (1 work) · Creativity in Education and Neuroscience (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