My research examines how generative AI shapes human cognition, learning, and behavior in organizational settings. I am interested in both the psychological processes involved in working with AI and the organizational conditions that influence how these technologies are adopted and used.
The streams build on each other: how people learn and develop with AI, how organizations
shape the way AI is used, and how work can be designed so that both come together. The
questions below describe my current research agenda.
01
Human learning and development with AI
How does working with generative AI affect learning, expertise, and independent problem-solving?
Under what conditions does AI support human capabilities, and when might it undermine their development?
How do people maintain agency and critical judgment when relying on AI?
02
AI use in organizations
How do organizational norms and cultures shape employees' use of AI?
How do leadership, team dynamics, and organizational structures influence AI adoption?
Why do employees use AI in ways that differ from formal organizational policies?
03
Designing human-centered AI-enabled work
How can work be designed so that AI supports rather than displaces opportunities for learning?
How do autonomy, accountability, and expertise change when AI becomes part of everyday work?
What organizational practices help people and AI collaborate effectively?
Projects
Current and published work.
My main current project, followed by an ongoing side project and completed, published work.
Current main project
The psychological impact of AI in organizations
A multi-study research project on how working with AI affects people psychologically in real organizational settings — moving from in-depth qualitative insight to the experience of AI use as it happens in everyday work.
Funding
Ad personam, 4 years
Design
Multi-study, mixed methods
1
Study 1 · Completed
Qualitative study
In-depth qualitative study of how employees experience working with AI.
2
Study 2 · In preparation
Longitudinal study of real-world AI use
An event-based longitudinal study capturing real-world AI use at work and the momentary psychological experiences that accompany it.
3
Study 3 · Planned
Third study
Building on the first two studies; details to follow.
Ongoing side project
AI-supported learning in higher education
Research area: Human learning and development with AI
Research question
How can universities and workplaces integrate generative AI in ways that empower learners and professionals rather than replacing their thinking?
Why it matters
AI can be used to produce answers or to deepen engagement. Which of the two happens depends largely on how learning activities are designed.
Current work
Designing AI-supported assignments and learning activities, and developing a practical library of assignments that educators can adapt to their own courses.
Research area: Designing human-centered AI-enabled work
Research question
Where can conversational AI responsibly contribute to mental health care, and where should humans remain central?
Why it matters
Chatbot-based psychotherapy is spreading faster than the evidence on what it can and cannot do. Clear criteria help separate patient satisfaction from therapeutic value.
Contribution
A framework for integrating conversational AI into real-world mental health care, and criteria for judging when AI psychotherapy could be considered comparable to human psychotherapy.
Research area: Human learning and development with AI
Research question
What happens, at the conceptual and neurobiological level, when people change through internal exploration?
Why it matters
A mechanistic account of how people gain awareness and change provides the foundation for asking how technologies — including AI — might support or interfere with that process.
Contribution
A neurocognitive model of human change processes built around mental navigation and a three-stage process of psychotherapeutic change.
