I am a PhD candidate in Economics at the University of Groningen, where I study how technological developments, such as robotization and artificial intelligence (AI), affect the health, wellbeing, and subjective experience of workers.
My current projects examine how robot adoption shapes worker health and mental wellbeing, using cross-sectional survey data from 20 European countries linked to industry-level robot adoption data, and how attributing work to AI influences perceived task meaning and effort, studied through a survey experiment fielded in the United States and the Netherlands.
More broadly, my research revolves around a common question: what happens to the human experience of work when disruptive technologies reshape it.
This study investigates whether attributing creative output to AI rather than to a human affects individuals' perceptions of task meaning and effort provision. Using preregistered survey experiments in the United States and the Netherlands, participants evaluated identical public health campaign slogans labeled as the work of either an AI system or a human professional. This design isolates the effect of AI attribution while holding the underlying creative content constant. Across both countries, AI attribution does not significantly affect perceived task meaning. In the Dutch sample, however, participants who evaluated AI-labeled slogans were less likely to submit a slogan idea of their own, a behavioral proxy for voluntary effort provision. Respondents also consistently reported lower capability-based trust in the AI-labeled author across both countries, despite evaluating identical content. These results contribute to emerging research on AI, meaning, and work. While AI attribution does not significantly affect perceived meaning in the context of a single evaluative task, prolonged exposure within AI-assisted workflows may plausibly erode meaning and broader worker wellbeing over time, and, as our effort findings suggest, reduce individuals' motivation to contribute. The consistent erosion of capability-based trust under AI attribution further underscores the importance of how organizations introduce AI and frame its contribution to workers.
The adoption of robots in the workplace implies significant changes to work structures and processes. By altering the nature of tasks workers do, robotization can influence both their physical health and mental well-being. We examine this using survey data on self-reported health and task content of workers from 20 European countries, alongside industry-level data on industrial robot adoption. Given the purpose and capabilities of industrial robots, we expect them to take over routine and physically taxing activities, thereby reducing physical strain and potentially enhancing mental well-being as workers shift to more stimulating activities. Overall, we find that robotization indeed reduces routine, physically demanding tasks and decreases the likelihood of reporting health issues such as backaches and neck pain. However, results also suggest that robotization worsens workers' mental health due to a reduction in abstract and social activities. Our findings shed light on the mechanisms through which robots affect the workforce along various health and well-being dimensions, offering insights for the responsible integration of technology in the workplace.
Prior to and during my PhD, I have taught across several courses in the Faculty of Economics and Business at the University of Groningen, and have supervised bachelor theses.
I am always happy to discuss research, potential collaborations, or questions about my work. The best way to reach me is by email.