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Ease of use and facilitating conditions in the context of technology promises: Lessons from experiments with code- and text-generating AI tools in a professional context
[La facilité d'usage et les conditions facilitatrices face aux promesses de la technologie : Leçons d'expérimentations d'outils d'IA génératives de code et de texte en contexte professionnel]

Author

Listed:
  • Myriam Raymond

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université, GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - Institut Agro Rennes Angers - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Aymeric Hemon

    (ESSCA Research Lab - ESSCA - ESSCA – École supérieure des sciences commerciales d'Angers = ESSCA Business School, LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université)

  • Frantz Rowe

    (LEMNA - Laboratoire d'économie et de management de Nantes Atlantique - Nantes Univ - IAE Nantes - Nantes Université - Institut d'Administration des Entreprises - Nantes - Nantes Université - pôle Sociétés - Nantes Univ - Nantes Université)

Abstract

Dans un contexte dans lequel les outils d'Intelligence Artificielle Générative (IAG) sont de plus en plus intégrés dans le milieu professionnel, cet article se penche sur l'expérience des utilisateurs lors de l'expérimentation de ces technologies novatrices. En se concentrant sur la facilité d'usage et les conditions facilitatrices nécessaires à une utilisation satisfaisante du point de vue de l'expérimentateur, l'étude révèle certaines dynamiques sous-jacentes de l'interaction humaine avec les IAG. À travers une méthodologie quantitative, l'article analyse les données recueillies lors d'expérimentations de bac à sable dans une entreprise de télécommunications, portant notamment sur GitHub Copilot et MS365 Copilot comme outils d'IAG. Les résultats révèlent que la perception de la facilité d'usage des IAG comprend plusieurs composantes, telles que l'effort requis et la nécessité de corrections. De plus, les conditions facilitatrices, telles que la formation et le soutien technique, jouent un rôle crucial dans l'adoption de ces technologies. En conclusion, cette recherche jette les bases d'une compréhension des construits de perception de facilité d'usage et des conditions facilitatrices propres aux IAG, et comment celles-ci interagissent avec la satisfaction des expérimentateurs, favorisant ainsi une intégration harmonieuse et responsable des IAG dans le monde du travail contemporain.

Suggested Citation

  • Myriam Raymond & Aymeric Hemon & Frantz Rowe, 2024. "Ease of use and facilitating conditions in the context of technology promises: Lessons from experiments with code- and text-generating AI tools in a professional context [La facilité d'usage et les," Post-Print hal-04634708, HAL.
    • Handle: RePEc:hal:journl:hal-04634708
    Note: View the original document on HAL open archive server: https://univ-angers.hal.science/hal-04634708v1
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    References listed on IDEAS

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    1. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2025. "Generative AI at Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 140(2), pages 889-942.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
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