About

Marten Bloch investigates the intersection of human-robot interaction, technology acceptance, and workforce dynamics, with a particular focus on how automation reshapes professional roles and user trust. His work on gaze-based interaction for object classification in reconnaissance missions (2021, 3 citations) demonstrates a novel approach to human-machine teaming in high-stakes environments, enabling operators to command autonomous platforms more intuitively. Bloch’s comparative study of Norwegian attitudes toward robots (2023, 2 citations) reveals critical cultural and demographic factors that influence technology adoption, underscoring that negative perceptions can derail even well-designed robotic implementations. More recently, his cross-sectional research on technology-related job insecurity among healthcare personnel (2025, 2 citations) addresses a pressing societal concern: as robotics are deployed to alleviate workforce shortages, they may paradoxically trigger anxiety about displacement. By quantifying these fears, Bloch provides actionable insights for policymakers and system designers aiming to foster trust and smooth transitions. His cumulative work—though early in citation impact—offers a timely, human-centered lens on automation’s psychological and operational consequences, making him a thoughtful voice in responsible robotics deployment.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Gaze Based Interaction for Object Classification in Reconnaissance Missions Using Highly Automated Platforms
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Fraunhofer Institute for Communication, Information Processing and Ergonomics, Institute for Energy Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago