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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2776785bd941f4b566ad6f7720e8f5593/mariawirzberger",         
         "tags" : [
            "myown","ChatGPT","dynamics","simulation","workload","workplace","trust"
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         "intraHash" : "776785bd941f4b566ad6f7720e8f5593",
         "interHash" : "de14d5534491162c36e097186f529e82",
         "label" : "Simulation and ChatGPT: Large language models as tools for model analysis",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2025-09-14 12:19:27",
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         "pub-type": "inproceedings",
         "booktitle": "Conference Proceedings for the 2024 System Dynamics Conference",
         "year": "2024", 
         "url": "", 
         
         "author": [ 
            "Ivan Dula","Tabea Berberena","Ksenia Keplinger","Maria Wirzberger"
         ],
         "authors": [
         	
            	{"first" : "Ivan",	"last" : "Dula"},
            	{"first" : "Tabea",	"last" : "Berberena"},
            	{"first" : "Ksenia",	"last" : "Keplinger"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
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         "bibtexKey": "dula2024simulation"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/23c510e8bf0fc1fd3000cb2ed71ef13d9/mariawirzberger",         
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            "myown","teaming","safety","workload","human-ai","llis","aviation","performance","trust"
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         "intraHash" : "3c510e8bf0fc1fd3000cb2ed71ef13d9",
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         "label" : "Assessing an evaluation framework for Human-AI-Teaming in flight deck applications",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2025-09-14 12:08:02",
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         "pub-type": "inproceedings",
         "booktitle": "44th AIAA DATC/IEEE Digital Avionics Systems Conference",
         "year": "2025", 
         "url": "", 
         
         "author": [ 
            "Patrick Lorrig","Michelle Fini","Lennart Lux","Maria Wirzberger","Zamira Daw"
         ],
         "authors": [
         	
            	{"first" : "Patrick",	"last" : "Lorrig"},
            	{"first" : "Michelle",	"last" : "Fini"},
            	{"first" : "Lennart",	"last" : "Lux"},
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Zamira",	"last" : "Daw"}
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         "bibtexKey": "lorrig2025assessing"

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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/20bf5204692e1ba405c3d3bcc99c756b4/mariawirzberger",         
         "tags" : [
            "fNIRS","myown","emotion","cognition","simulation","workload","llis","performance"
         ],
         
         "intraHash" : "0bf5204692e1ba405c3d3bcc99c756b4",
         "interHash" : "624fe12bf6b88562c04d7d5eabb39c6a",
         "label" : "Workload-dependent hemispheric asymmetries during the emotion-cognition interaction: a close-to-naturalistic fNIRS study",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2024-08-25 17:11:21",
         "changeDate" : "2024-08-25 17:11:21",
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         "pub-type": "article",
         "journal": "Frontiers in Neuroergonomics",
         "year": "2023", 
         "url": "", 
         
         "author": [ 
            "Katharina Lingelbach","Sabrina Gado","Maria Wirzberger","Mathias Vukelic"
         ],
         "authors": [
         	
            	{"first" : "Katharina",	"last" : "Lingelbach"},
            	{"first" : "Sabrina",	"last" : "Gado"},
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Mathias",	"last" : "Vukelic"}
         ],
         "volume": "4","pages": "1273810","abstract": "Introduction\r\nWe investigated brain activation patterns of interacting emotional distractions and cognitive processes in a close-to-naturalistic functional near-infrared spectroscopy (fNIRS) study.\r\nMethods\r\nEighteen participants engaged in a monitoring-control task, mimicking common air traffic controller requirements. The scenario entailed experiencing both low and high workload, while concurrently being exposed to emotional speech distractions of positive, negative, and neutral valence.\r\nResults\r\nOur investigation identified hemispheric asymmetries in prefrontal cortex (PFC) activity during the presentation of negative and positive emotional speech distractions at different workload levels. Thereby, in particular, activation in the left inferior frontal gyrus (IFG) and orbitofrontal cortex (OFC) seems to play a crucial role. Brain activation patterns revealed a cross-over interaction indicating workload-dependent left hemispheric inhibition processes during negative distractions and high workload. For positive emotional distractions under low workload, we observed left-hemispheric PFC recruitment potentially associated with speech-related processes. Furthermore, we found a workload-independent negativity bias for neutral distractions, showing brain activation patterns similar to those of negative distractions.\r\nDiscussion\r\nIn conclusion, lateralized hemispheric processing, regulating emotional speech distractions and integrating emotional and cognitive processes, is influenced by workload levels and stimulus characteristics. These findings advance our understanding of the factors modulating hemispheric asymmetries during the processing and inhibition of emotional distractions, as well as the interplay between emotion and cognition. Moreover, they emphasize the significance of exploring emotion-cognition interactions in more naturalistic settings to gain a deeper understanding of their implications in real-world application scenarios (e.g., working and learning environments).",
         "doi" : "https://doi.org/10.3389/fnrgo.2023.1273810",
         
         "bibtexKey": "lingelbach2024workloaddependent"

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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/215e85b761408f2935a7c16d9adee5435/mariawirzberger",         
         "tags" : [
            "myown","modeling","process","workload","prediction","ATC"
         ],
         
         "intraHash" : "15e85b761408f2935a7c16d9adee5435",
         "interHash" : "21ed286b995e06598600be49346c3ef5",
         "label" : "A dynamic process model for predicting workload in an air traffic controller task",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2020-03-20 16:22:37",
         "changeDate" : "2020-03-20 15:45:01",
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         "pub-type": "inproceedings",
         "booktitle": "Proceedings of the 39th Annual Meeting of the Cognitive Science Society","publisher":"Cognitive Science Society","address":"Austin, TX",
         "year": "2017", 
         "url": "https://mindmodeling.org/cogsci2017/papers/0236/paper0236.pdf", 
         
         "author": [ 
            "Martina Truschzinski","Maria Wirzberger"
         ],
         "authors": [
         	
            	{"first" : "Martina",	"last" : "Truschzinski"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
         ],
         
         "editor": [ 
            "Glenn Gunzelmann","Andrew Howes","Thora Tenbrink","Eddy Davelaar"
         ],
         "editors": [
         	
            	{"first" : "Glenn",	"last" : "Gunzelmann"},
            	{"first" : "Andrew",	"last" : "Howes"},
            	{"first" : "Thora",	"last" : "Tenbrink"},
            	{"first" : "Eddy",	"last" : "Davelaar"}
         ],
         "pages": "1224--1229",
         "bibtexKey": "Truschzinski2017CogSci"

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}