Marc Halbrügge

ORCID: 0009-0007-3208-1297
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About
Contact & Profiles
Research Areas
  • Human-Automation Interaction and Safety
  • Usability and User Interface Design
  • Personal Information Management and User Behavior
  • Cognitive Science and Mapping
  • Semantic Web and Ontologies
  • Cell Image Analysis Techniques
  • AI-based Problem Solving and Planning
  • Image and Signal Denoising Methods
  • Persona Design and Applications
  • Model-Driven Software Engineering Techniques
  • Advanced Text Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Scientific Measurement and Uncertainty Evaluation
  • EEG and Brain-Computer Interfaces
  • Context-Aware Activity Recognition Systems
  • Technology Adoption and User Behaviour
  • Ergonomics and Human Factors
  • Healthcare Technology and Patient Monitoring
  • Quality Function Deployment in Product Design
  • Color perception and design
  • Complex Systems and Decision Making
  • Hand Gesture Recognition Systems
  • Cognitive Computing and Networks
  • Innovative Human-Technology Interaction
  • Big Data and Business Intelligence

Technische Universität Berlin
2010-2020

Dynamic Systems (United States)
2020

Abstract A model‐based approach for cognitive assistance is proposed to keep track of pilots' changing demands in dynamic situations. Based on model‐tracing with flight deck interactions and EEG recordings, the model able represent individual behavior response alerts. As a first application concept, an ACT‐R created using data from empirical simulator study neurophysiological signals missed acoustic Results show that uncertainty representation can be significantly reduced by combining...

10.1111/tops.12515 article EN cc-by Topics in Cognitive Science 2020-07-01

The cognitive modeling and artificial general intelligence research communities may reap greater scientific return on investmentsmay achieve an improved understanding of architectures modelsif there is more emphasis systematic sensitivity necessity analyses during model development, evaluation, comparison.We demonstrate this methodological prescription with two the models submitted for Dynamic Stocks Flows (DSF) Model Comparison Challenge, exploring complex interactions among architectural...

10.2478/v10229-011-0011-7 article EN cc-by-nc-nd Journal of Artificial General Intelligence 2010-01-01

Adaptive user interfaces (UI) offer the opportunity to adapt changes in context, but this also poses challenge of evaluating usability many different versions resulting UI. Consequently, evaluations tend become very complex and time-consuming. We describe an approach that combines model-based evaluation with development models adaptive UIs. In particular, we present how a cognitive behavior model can be created automatically from UI thus save time costs when predicting task execution times....

10.1145/2607023.2607033 article EN 2014-06-17

With the move to ubiquitous computing, user interfaces (UI) are no longer bound specific devices. While this problem can be tackled using model-based UI development (MBUID) process, usability of device-specific is still an open question. We presenting a combined system that integrates MBUID with cognitive modeling framework in order provide predictions at time. Because their potential impact, our focus within problems lies on errors. These captured model capitalizes meta-information provided...

10.1145/2971648.2971667 article EN 2016-09-09

Keep it simple - A case study of model development in the context Dynamic Stocks and Flows (DSF) task This paper describes creation a cognitive submitted to ‘Dynamic Flows’ modeling challenge. challenge aims at comparing computational models for human behavior during an open ended control task. Participants competition were provided with simulation environment training data benchmarking their while actual specification was withheld. To meet this challenge, described here designed optimized...

10.2478/v10229-011-0008-2 article EN Journal of Artificial General Intelligence 2010-12-01

DFG, MO 1038/18-1, Automatische Usability-Evaluierung modellbasierter Interaktionssysteme fur Ambient Assisted Living

10.14279/depositonce-5530 article DE 2016-01-01
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