The human being, with his abilities and needs, is moved into the center of all design decisions, to ensure that new electronic assistance systems significantly reduce the still too high accident rates. Moreover, mobility in the elderly has to be guaranteed by assistance functions, for example in cars that compensate age-related weaknesses and wisely support available strengths.
A central challenge of this application domain is the supply of design methodologies for the development of assistance systems that enable a continuous quality management in parallel to the design process from the viewpoint of the final end user. Therefore, on the basis of experiments in driving or flight simulators, OFFIS creates virtual test drivers and test pilots respectively as so-called cognitive models, and is embedding these into the industrial design process.
Persons 
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Marie-Christin Harre (geb. Ostendorp)
E-Mail: harre(at)offis.de, Phone: +49 441 9722-433, Room: D 114/115
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Projects
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AutoMate
Automation as accepted and Trusted TeamMate to enhance traffic safety and efficiency
Duration: 2016 - 2019C
Cocomo
Cognitive Cooperation Support System based on Mobile and Wearable Devices (sorry - only available in german)
Duration: 2017 - 2020M
MeBeSafe
Measures for Behaving Safely in Traffic (sorry - only available in German)
Duration: 2017 - 2020 Publications
2018
A Heuristic for Relative Perception Accuracy and Reaction Time Estimation for HMI Designs
Marie-Christin Harre, Sebastian Feuerstack; Proceedings of the European Conference on Cognitive Ergonomics; September / 2018
A Method for Optimizing Complex Graphical Interfaces for Fast and Correct Perception of System States
Marie-Christin Harre, Sebastian Feuerstack, Bertram Wortelen; Proceedings of the 7th International Working Conference on Human-Centered Software Engineering; September / 2018
Effective Visualization of Time-Critical Notifications in Virtual Reality
Uwe Grünefeld, Marie-Christin Harre, Tim Stratmann, Wilko Heuten, Andreas Lüdtke; Mensch und Computer; September / 2018
Flyer: HEE and Konect, Optimizing HMIs for Efficient Monitoring
Sebastian Feuerstack and Bertram Wortelen; 1 / 2018
From Reading to Driving - Priming Mobile Users for Take-over Situations in Highly Automated Driving
Borojeni, S.S., Weber, L., Heuten, W., Boll, S.; Mobile HCI; 2018
Monte Carlo Methods for Real-time Driver Workload Estimation using a Cognitive Architecture
Wortelen, B., Unni, A., Rieger, J.W., Lüdtke, A., Osterloh, J.P.; Cognitive Infocommunications, Theory and Applications; 2018
Nudging the attention of drivers towards possibly hazardous situations
Olaf Op den Camp, Jeroen Uittenbogaard, Maximilian Schwalm, Bram Bakker, Marie-Christin Harre; 27th Aachen Colloquium Automobile and Engine Technology; 10 / 2018
Predicting Visual Attention is not an easy Task - even for Experts!
Sebastian Feuerstack and Bertram Wortelen; 60th Conference of Experimental Psychologists; March / 2018
Supporting Supervisory Control of Safety-Critical Systems by Optimizing Visualizations on Monitoring Displays for Fast and Accurate Perception
Marie-Christin Harre, Andreas Lüdtke; Human Factors Chapter Europe; 10 / 2018
2017
A Model-driven Tool for getting Insights into Car Drivers’ Monitoring Behavior
Sebastian Feuerstack and Bertram Wortelen; Proceedings of the IEEE Intelligent Vehicles Symposium (IV'17) ; 2017
