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         "editor": [ 
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            	{"first" : "Günter Daniel",	"last" : "Rey"}
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         "author": [ 
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            	{"first" : "Laura",	"last" : "Bareiß"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
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         "editor": [ 
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            	{"first" : "M.",	"last" : "Goldwater"},
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            	{"first" : "Tabea",	"last" : "Berberena"},
            	{"first" : "Ksenia",	"last" : "Keplinger"},
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         "volume": "2","pages": "1223281","abstract": "Following recent technological developments in the artificial intelligence space, artificial agents are increasingly taking over organizational tasks typically reserved for humans. Studies have shown that humans respond differently to this, with some being appreciative of their advice (algorithm appreciation), others being averse toward them (algorithm aversion), and others still fully relinquishing control to artificial agents without adequate oversight (automation bias). Using systems thinking, we analyze the existing literature on these phenomena and develop a conceptual model that provides an underlying structural explanation for their emergence. In doing so, we create a powerful visual tool that can be used to ground discussions about the impact artificial agents have on organizations and humans within them.",
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         "booktitle": "Reflection on intelligent systems: Towards a cross-disciplinary definition",
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         "author": [ 
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            	{"first" : "Tabea",	"last" : "Berberena"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
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         "editor": [ 
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            	{"first" : "Gabriella",	"last" : "Lapesa"},
            	{"first" : "Lukas",	"last" : "Erhard"},
            	{"first" : "Curtis",	"last" : "Runstedler"},
            	{"first" : "Sierra",	"last" : "Kaiser"}
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/24d70cb60b62d206c9162e8167351306e/mariawirzberger",         
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         "author": [ 
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            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Anastasia",	"last" : "Lado"},
            	{"first" : "Caroline",	"last" : "Scheiger"},
            	{"first" : "Adrian",	"last" : "Stock"},
            	{"first" : "Francesca",	"last" : "Zermiani"}
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         "abstract": "The omnipresence of distracting information constantly challenges our limited attentional resources. Consequently, approaching educational goals effectively and concentrating on them often becomes difficult for learners. Looking at existing training tools to strengthen executive functions, we often notice the use of artificial tasks and settings that limit the transferability of the acquired skills to everyday life situations. Addressing this gap, the talk introduces an example of how people can be supported to set goals, implement periods of focused work, and integrate a meaningful break management by using an attention training software during regular study and work activities. The computer-based intervention influences the entire lifecycle of self-regulated learning and can easily become part of daily computer use. It enables users to redefine their existing goals into training tasks and thus motivates them to achieve sustainable training results. As its core, the software has an intelligent feedback mechanism that visually discloses the value of staying focused against getting distracted, building on a model of the expected value of cognitive control. Results from field experiments already indicate the benefit of this approach over a control condition, in particular related to task-specific learning. The talk will take a more fine-grained look at patterns of distractibility across different task settings and discuss related benefits of embedding this novel approach to executive functions training across formal and informal learning contexts and workplace scenarios.",
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         "author": [ 
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         "abstract": "Learning requires a multitude of metacognitive activities that support knowledge acquisition and direct the learning process. These include selecting and planning goals, applying, observing and evaluating learning strategies as well as regulatory efforts required for goal achievement. We introduce an example of how learners can be supported to set goals, implement periods of focused work and integrate a meaningful break management by using the AI-based training software ACTrain. Metacognitive feedback based on principles of machine learning conveys the value of staying focused on goal-related activities. Pilot results already indicate positive effects of the presented approach and suggest further investigation. We will explore potentials for integrating such approach in school settings and how this could affect the role of teachers.",
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         "bibtexKey": "wirzberger2021actrainschool"

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         "date" : "2021-04-07 12:35:02",
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         "author": [ 
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            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Madeleine",	"last" : "Schwarz"}
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         "volume": "74","pages": "280-295","abstract": "Lernen erfordert vielfältige metakognitive Aktivitäten, die den Wissensaufbau und die Steuerung des eigenen Lernprozesses unterstützen. Dazu zählen die Auswahl und Planung von Zielen, die Anwendung, Beobachtung und Bewertung von Lernstrategien sowie regulierende Eingriffe zum Erreichen gesetzter Ziele. Der Artikel zeigt beispielhaft auf, wie eine KI-gestützte Trainingssoftware Lernende dabei fördern kann, sich Ziele zu setzen, Phasen fokussierten Arbeitens umzusetzen und ein sinnvolles Pausenmanagement einzubinden. Metakognitives Feedback bildet aufbauend auf Prinzipien des maschinellen Lernens den Wert zielgerichteten Handelns ab. In Pilotbefunden zeigen sich bereits erste positive Effekte dieses Ansatzes, die eine weitere Exploration nahelegen. Basierend darauf wird eine mögliche curriculare Einbindung im Lernfeld Schule sowie Implikationen für die Rolle der Lehrkräfte diskutiert.",
         "doi" : "10.13109/buer.2021.74.3.280",
         
         "bibtexKey": "wirzberger2021frderung"

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         "label" : "ACTrain: Ein KI-basiertes Aufmerksamkeitstraining für die Wissensarbeit",
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         "date" : "2020-03-20 16:22:37",
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         "booktitle": "Digitale Arbeit, digitaler Wandel, digitaler Mensch?. 66. Kongress der Gesellschaft für Arbeitswissenschaft","publisher":"Gesellschaft für Arbeitswissenschaft e.V.","address":"Berlin",
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         "author": [ 
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            	{"first" : "Jean-Claude",	"last" : "Passy"},
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            	{"first" : "Amitai",	"last" : "Shenhav"},
            	{"first" : "Falk",	"last" : "Lieder"}
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         "editor": [ 
            "Matthias Rötting","Linda Onnasch"
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         "editors": [
         	
            	{"first" : "Matthias",	"last" : "Rötting"},
            	{"first" : "Linda",	"last" : "Onnasch"}
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}
