Academic Career and Research Areas
Greta Ontrup leads the junior research group Psychological Aspects of Human-Algorithm Interaction. Her research centers on the dynamics between human teams and intelligent systems, with a particular emphasis on how psychological processes shape and are shaped by these interactions. She explores the human side of human-AI teaming, investigating how trust, motivation, and collaboration evolve when humans and algorithms work together. A key aspect of her work is understanding how teams adapt to emerging technologies and how organizational structures can support or hinder this process.
By leveraging insights from organizational psychology, her research aims to develop evidence-based guidelines that enhance team performance and well-being in technologically enriched workplaces. Additionally, she focuses on the development and validation of psychological metrics that can for example be used in the context of Human Resource (HR) Analytics to improve team dynamics and individual outcomes in both traditional and digital work environments.
Examples of ongoing projects are
- Psychological Aspects of Human-AI Interaction. I investigate how psychological factors, such as mood or team dynamics, influence the effectiveness of AI-based tools. For example, one of my projects examines how team emergent states, such as cohesion or psychological safety, evolve in human-AI teams compared to human-human teams.
- Team Dynamics and Organizational Culture in AI Integration. In addition to individual-/ and team-level factors, my research also addresses the broader organizational context in which AI is deployed. I explore how organizational culture influences the success of AI integration, using organizational psychology frameworks to predict organizational outcomes of AI adoption.
- Bridging Research and Practice. A consistent theme across my work is the translation of psychological insights into practical guidelines for organizations, e.g., through the development of digital metrics for team performance. The goal is to ensure that AI technologies are not only technically advanced but also human-centred, thereby not only promoting positive organizational outcomes but also human well-being.
