AI and Work Engagement: A Study of IT Professionals Through the Lens of Self-Determination Theory
Date
Authors
Cajander, Åsa
Bergqvist, A
Clear, Tony
Daniels, Mats
Humble, N
Larusdottir, M
Normak, M
Oubhi, S
Supervisor
Item type
Chapter in Book
Degree name
Journal Title
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Volume Title
Publisher
Springer Nature
Abstract
Artificial intelligence (AI) is reshaping work, presenting new challenges and opportunities for professionals across industries. This study, grounded in Self-Determination Theory (SDT), examines the impact of AI integration on work engagement among IT professionals. Through qualitative investigation, our research reveals that AI both augments and complicates professionals’ work lives, providing opportunities for growth while also demanding ongoing adaptation. Key findings indicate that AI tools like UiPath and GitHub Copilot enhance work efficiency by automating routine tasks, enabling professionals to concentrate on more complex aspects of their work and enhancing their perceived competence. However, this efficiency gain requires continuous learning and adaptation, posing challenges in maintaining engagement and mastery. These findings illuminate the complex balance between leveraging AI for increased efficiency and maintaining the intrinsic human elements of IT design, offering some insights for navigating AI integration in the workplace.Description
Keywords
Work Engagement, Artificial Intelligence (AI), User Experience (UX) Professionals, Professional Development, Self-Determination Theory
Source
In: Barricelli, B.R., Valtolina, S., Bouzekri, E., Locoro, A., Mentler, T. (eds) Human Work Interaction Design. Sustainable Workplaces by Design. HWID 2024. Proceedings of IFIP Working Conference on Human Work Interaction Design, Milan, Italy, September 5–6, 2024. IFIP Advances in Information and Communication Technology, vol 751.
Publisher's version
Rights statement
This is the Author's Accepted Manuscript of a conference paper published in Human Work Interaction Design. Sustainable Workplaces by Design (HWID 2024), © 2026 IFIP International Federation for Information Processing. The Version of Record is available at DOI: 10.1007/978-3-031-95334-7_9