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VERENA NITSCH
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Name
Affiliation
Papers
VERENA NITSCH
Human Factors Institute, University of the Bundeswehr, Munich, Neubiberg, Germany
17
Collaborators
Citations
PageRank
74
8
5.93
Referers
Referees
References
37
66
20
Publications (17 rows)
Collaborators (74 rows)
Referers (37 rows)
Referees (66 rows)
Title
Citations
PageRank
Year
The INCLUSIVE System: A General Framework for Adaptive Industrial Automation
0
0.34
2021
Designing for Trust and Well-being: Identifying Design Features of Highly Automated Vehicles
0
0.34
2021
Is The Social Desirability Effect In Human-Robot Interaction Overestimated? A Conceptual Replication Study Indicates Less Robust Effects
0
0.34
2021
AMICAI: A Method Based on Risk Analysis to Integrate Responsible Research and Innovation into the Work of Research and Innovation Practitioners.
0
0.34
2020
Investigating Influence of Complexity and Stressors on Human Performance during Remote Navigation of a Robot Plattform in a Virtual 3D Maze
0
0.34
2020
Intuitive Task-Level Programming by Demonstration Through Semantic Skill Recognition.
1
0.35
2019
Human-Robot Cooperation in Manual Assembly - Interaction Concepts for the Future Workplace
0
0.34
2019
Human-Robot Collaboration Acceptance Model : Development and Comparison for Germany, Japan, China and the USA
6
0.47
2019
Die Mensch-Maschine-Schnittstelle in der Fabrikhalle 2030.
0
0.34
2019
Comparing user requirements for automated vehicle interiors in China and Germany.
0
0.34
2019
Satisfying Product Features Of A Dementia Care Support Smartphone App And Potential Users' Willingness To Pay: Web-Based Survey Among Older Adults
0
0.34
2019
An empirical investigation of measures for well-being in highly automated vehicles.
0
0.34
2019
Driving Segway: A Musculoskeletal Investigation
0
0.34
2019
Survey-based personas for a target-group-specific consideration of elderly end users of information and communication systems in the German health-care sector.
1
0.38
2019
Interaktives Erleben und Erlernen von Ergonomie mit ErgoCAM.
0
0.34
2018
Using the Projection-based Vehicle in the Loop for the Investigation of in-Vehicle Information Systems: First Insights.
0
0.34
2018
Using multisensory cues for direction information in teleoperation: More is not always better.
0
0.34
2017
1