معرفی
Martin Schmettow is an Assistant Professor at the Digital Society Institute, affiliated with the Cognition, Data and Education school. His research spans interdisciplinary domains including human-AI interaction, usability evaluation, and applications in healthcare and robotics.
- Usability & User Experience
- Human-AI Interaction
- Neurological Clinical Research
- Ecological Remediation
Recent publications focus on chatbot usability validation, postictal recovery analysis, and ant bioturbation impacts. He has developed multilanguage psychometric scales and contributed to Bayesian statistical methodologies in design research. Collaborations highlight intersections between simulation technology, wearable devices, and medical informatics.
Key research areas evident from publications include:
- Usability engineering for high-risk systems
- Human factors in robotic surgery training
- Bayesian modeling applications
- Neurological recovery post-ECT studies
- Ecological rehabilitation strategies
- Human-robot interaction dynamics
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