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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2b8e91288f1f78f9aad0477bca97182c1/mariawirzberger",         
         "tags" : [
            "cognition","eduScrum","feedback","focUS","learning","myown","training"
         ],
         
         "intraHash" : "b8e91288f1f78f9aad0477bca97182c1",
         "interHash" : "c080bec330ea1993d3d8ed7a320e6431",
         "label" : "eduScrum meets focUS: A computer-assisted training to promote selfregulation skills in Higher Education",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2025-09-12 12:21:06",
         "changeDate" : "2025-09-12 12:21:06",
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         "pub-type": "article",
         "journal": "Frontiers in Computer Science","publisher":"Frontiers",
         "year": "2025", 
         "url": "", 
         
         "author": [ 
            "Alina Schmitz-Hübsch","Laura Bareiß","Eva Jahn","Maria Wirzberger"
         ],
         "authors": [
         	
            	{"first" : "Alina",	"last" : "Schmitz-Hübsch"},
            	{"first" : "Laura",	"last" : "Bareiß"},
            	{"first" : "Eva",	"last" : "Jahn"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
         ],
         "volume": "7","pages": "1593889","abstract": "Given the ever-evolving demands of the professional world, higher education plays a vital role in equipping students with strategies for self-organized and sustainable skill development. This enables students to quickly and independently adapt to new knowledge and skills throughout their careers. Therefore, it is of the essence to integrate methods that enhance self-regulation skills into our study programs, alongside the instruction of specific subject-matter expertise. Addressing these demands, we introduce a focused training that embeds the assistive software tool focUS into a structured seminar concept, leveraging eduScrum elements and accompanying learning communities. After introducing the results of a pilot evaluation with a small group of interdisciplinary doctoral students, we discuss possibilities of technical and conceptual integration in course curricula and learning counseling in higher education. Taken together, our approach indicates value for empowering future professionals across various domains to unleash their full potential.",
         "doi" : "https://doi.org/10.3389/fcom.2025.1593889",
         
         "bibtexKey": "schmitz7eduscrum"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2f1192f6e4c03016955aa049a78516ee2/mariawirzberger",         
         "tags" : [
            "VR","cognition","fNIRS","haptics","imported","learning","myOwn","neurodiversity","training"
         ],
         
         "intraHash" : "f1192f6e4c03016955aa049a78516ee2",
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         "label" : "Exploring Neuroadaptivity for Virtual-Reality-Based Cognitive Skill Training in Autistic Adults",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2025-09-12 12:10:06",
         "changeDate" : "2025-09-12 20:16:38",
         "count" : 5,
         "pub-type": "inproceedings",
         "booktitle": "MuC '25: Proceedings of the Mensch und Computer 2025",
         "year": "2025", 
         "url": "https://doi.org/10.1145/3743049.3748574", 
         
         "author": [ 
            "Anna Vorreuther","Nektaria Tagalidou","Katharina Lingelbach","Laura Bareiß","Maria Wirzberger","Mathias Vukelić"
         ],
         "authors": [
         	
            	{"first" : "Anna",	"last" : "Vorreuther"},
            	{"first" : "Nektaria",	"last" : "Tagalidou"},
            	{"first" : "Katharina",	"last" : "Lingelbach"},
            	{"first" : "Laura",	"last" : "Bareiß"},
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Mathias",	"last" : "Vukelić"}
         ],
         "pages": "571-577","abstract": "This paper presents a novel adaptive training system that integrates a Virtual Reality (VR) environement, real-time neurofeedback (NF) via functional near-infrared spectroscopy (fNIRS), and tactile stimulation, specifically designed to enhance cognitive skills in autistic adults. Central to this system is an integration platform that enables real-time, synchronised interplay between user behaviours and neurophysiological data. The presented neuroadaptivity loop employs a feedback mechanism that continuously assesses users\u2019 cognitive states through fNIRS, allowing the system to dynamically adjust environmental complexity and send tactile cues based on real-time mental state indicators. This multimodal approach fosters cognitive executive functions relevant for managing everyday situations. By prioritising user-centred design through iterative feedback from autistic individuals, the platform ensures usability and safety while promoting skill transfer from structured training to real-world applications. The implications of this system extend to personalised, adaptive technologies in workplace training, highlighting important considerations regarding user empowerment.",
         "doi" : "10.1145/3743049.3748574",
         
         "bibtexKey": "vorreuther2025exploring"

      }
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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2311aa2c0f11d85f2586c14c282fc8f0f/mariawirzberger",         
         "tags" : [
            "attention","cognition","distractions","education","elderly","environment","intelligent","learning","load","memory","myown","technology","training"
         ],
         
         "intraHash" : "311aa2c0f11d85f2586c14c282fc8f0f",
         "interHash" : "fff19cd1112fa381a84c3ed688cab4f8",
         "label" : "Pädagogik trifft Psychologie und Informatik. Interdisziplinäre Perspektiven zur Gestaltung intelligenter Bildungstechnologien",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2020-08-16 17:53:07",
         "changeDate" : "2020-08-16 15:53:07",
         "count" : 1,
         "pub-type": "inproceedings",
         "booktitle": "Positionen 34/2019. Maria Gräfin von Linden-Preis 2019","publisher":"Verband Baden-Württembergischer Wissenschaftlerinnen","address":"Esslingen",
         "year": "2019", 
         "url": "https://maria-wirzberger.de/wp-content/uploads/2020/08/Aufsatz_Positionen_2019_Wirzberger.pdf", 
         
         "author": [ 
            "Maria Wirzberger"
         ],
         "authors": [
         	
            	{"first" : "Maria",	"last" : "Wirzberger"}
         ],
         
         "editor": [ 
            "Dagmar Höppel"
         ],
         "editors": [
         	
            	{"first" : "Dagmar",	"last" : "Höppel"}
         ],
         "pages": "55-63","abstract": "Wie lassen sich Lernsituationen bestmöglich auf die Lernenden abstimmen, um damit individuelle und gesellschaftlich relevante Bildungsziele nachhaltig zu erreichen? Die Antwort darauf suche ich durch die Verbindung von pädagogischer Theorie, psychologischer Methodik und intelligenten Algorithmen. Die daraus entstehenden intelligenten Technologien bieten die Möglichkeit, auf individuelle Bedarfe unterschiedlicher Lernender in verschiedenen Kontexten gezielt einzugehen. Dazu müssen sie allerdings fähig sein, sich auf spezifische Charakteristika der Lernenden und der Situation einzustellen. Dies bedeutet, beobachtete Zustände korrekt zu interpretieren und mit dem notwendigen Maß an Unterstützung angemessen darauf zu reagieren. In meinen Forschungsprojekten setze ich mich mit Aspekten der Lernenden und der Lernsituation auseinander, die für die Schaffung solcher Systeme wichtig sind. Im Beitrag möchte ich vier ausgewählte Schwerpunkte meiner Arbeit vorstellen.",
         "bibtexKey": "wirzberger2019pdagogik"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/286d723f6c46fe3b0a187e6a67f96f16e/mariawirzberger",         
         "tags" : [
            "agent","delay","learning","memory","myown","training"
         ],
         
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         "interHash" : "73e1482871c3ab0e93ac3b49ab3898c4",
         "label" : "Auswirkung systeminduzierter Delays auf die menschliche Gedächtnisleistung in einem virtuellen agentenbasierten Trainingssetting",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2020-03-20 16:22:37",
         "changeDate" : "2020-03-20 15:28:30",
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         "pub-type": "inproceedings",
         "booktitle": "INFORMATIK 2017, Lecture Notes in Informatics (LNI)","publisher":"Gesellschaft für Informatik","address":"Bonn",
         "year": "2017", 
         "url": "", 
         
         "author": [ 
            "Maria Wirzberger","R\\´ene Schmidt","Günter Daniel Rey","Wolfram Hardt"
         ],
         "authors": [
         	
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "R\\´ene",	"last" : "Schmidt"},
            	{"first" : "Günter Daniel",	"last" : "Rey"},
            	{"first" : "Wolfram",	"last" : "Hardt"}
         ],
         
         "editor": [ 
            "Maximilian Eibl","Martin Gaedke"
         ],
         "editors": [
         	
            	{"first" : "Maximilian",	"last" : "Eibl"},
            	{"first" : "Martin",	"last" : "Gaedke"}
         ],
         "pages": "2287--2294",
         "doi" : "10.18420/in2017_229",
         
         "bibtexKey": "Wirzberger2017Delay"

      }
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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2dfa09f10917bf31c26f1584616b1c9e6/inue",         
         "tags" : [
            "multiple-output","myown","from:sdnr","(artificial","multiplex;complex","communication;neural","networks;Training;Antenna","estimation;gradient","system;Artificial","descent","modulation;deep","intelligence);MIMO","massive","indoor","localization;deep","arrays;Antenna","networks;multiple-input","methods;learning","user","measurements;OFDM;Machine","neural","frequency","systems;gradient","channel","learning","learning-based","training","coefficients;indoor","division","nets;OFDM","optimization;two-step","positioning","MIMO","procedure;OFDM","user;orthogonal"
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         "intraHash" : "dfa09f10917bf31c26f1584616b1c9e6",
         "interHash" : "9e12fc3098e3ba0e029e11d959b7c620",
         "label" : "On Deep Learning-Based Massive MIMO Indoor User Localization",
         "user" : "inue",
         "description" : "",
         "date" : "2020-03-20 15:07:06",
         "changeDate" : "2020-03-20 14:07:06",
         "count" : 3,
         "pub-type": "inproceedings",
         "booktitle": "2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)",
         "year": "2018", 
         "url": "", 
         
         "author": [ 
            "M. Arnold","S. Dörner","S. Cammerer","S. ten Brink"
         ],
         "authors": [
         	
            	{"first" : "M.",	"last" : "Arnold"},
            	{"first" : "S.",	"last" : "Dörner"},
            	{"first" : "S.",	"last" : "Cammerer"},
            	{"first" : "S.",	"last" : "ten Brink"}
         ],
         "pages": "1-5",
         "issn" : "1948-3252",
         
         "doi" : "10.1109/SPAWC.2018.8446013",
         
         "bibtexKey": "positioning_spawc"

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