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      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/28a272e97519486515dac77309559554e/mariawirzberger",         
         "tags" : [
            "feedback","myown","washing","cognition","personas","behavior","clusters"
         ],
         
         "intraHash" : "8a272e97519486515dac77309559554e",
         "interHash" : "a16cb8d785b20a8a7db07c6cc331cbd5",
         "label" : "Can personalized feedback encourage sustainable washing behavior? A field study",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2025-09-14 12:28:25",
         "changeDate" : "2025-09-14 12:28:25",
         "count" : 5,
         "pub-type": "conference",
         "booktitle": "53rd Congress of the German Society for Psychology / 15th Congress of the Austrian Psychological Society",
         "year": "2024", 
         "url": "", 
         
         "author": [ 
            "Laura Höpfl","Maria Wirzberger"
         ],
         "authors": [
         	
            	{"first" : "Laura",	"last" : "Höpfl"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
         ],
         
         "bibtexKey": "hopfl2024personalized"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/210e791a85e2b9de0d19f27ca7c09b69d/mariawirzberger",         
         "tags" : [
            "myown","learning","technology","performance","effort","digital","feedback","UTAUT","acceptance","academic","self-regulation","working","expectancy"
         ],
         
         "intraHash" : "10e791a85e2b9de0d19f27ca7c09b69d",
         "interHash" : "aa0c7aa833c1f78085582a4ea6384eda",
         "label" : "Performance expectancy benefits acceptance towards digital support for self-regulation",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2025-09-12 20:29:24",
         "changeDate" : "2025-09-12 20:29:43",
         "count" : 3,
         "pub-type": "article",
         "journal": "Acta Psychologica","publisher":"Elsevier",
         "year": "2025", 
         "url": "https://doi.org/10.1016/j.actpsy.2025.105273", 
         
         "author": [ 
            "Maria Wirzberger","Laura Bareiß","Veronika Herbst","Adrian Stock","Jule Kembitzky"
         ],
         "authors": [
         	
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Laura",	"last" : "Bareiß"},
            	{"first" : "Veronika",	"last" : "Herbst"},
            	{"first" : "Adrian",	"last" : "Stock"},
            	{"first" : "Jule",	"last" : "Kembitzky"}
         ],
         "volume": "258","pages": "105273","abstract": "Introduction\r\nThe persistent prevalence of distractions challenges people's capacities to study and work productively. Digital tools can support focusing on meaningful tasks with features like time tracking, feedback, or rewards. Evidence exists for benefits regarding behavioral focus, distraction management, and motivation, but also for hesitation to use digital support at all. Building on the Unified Theory of Acceptance and Use of Technology (UTAUT), this research explores which factors can foster or hinder the intention to use an exemplary software to support self-regulation.\r\nMethods\r\nA sample of 96 adult volunteers watched a short introductory video explaining how the software focUS fosters self-regulated studying and working. Subsequently, participants completed an online survey to capture their willingness to use focUS, expected gains and challenges, and individual characteristics.\r\nResults\r\nParticipants expressed stronger intentions to use focUS when they expected increased benefits in performance. By trend, lower levels of expected effort also hinted on stronger intentions to use focUS. Contrary to expectations, participants lacking previous experience with software in the scope described, who anticipated higher effort when using focUS, tended to express stronger intentions to use it.\r\nDiscussion\r\nTaken together, our evidence suggests that highlighting specific performance improvements may encourage the use of digital support for tasks that require self-regulation. Ensuring the use of digital support to be as effortless as possible could provide yet another compelling argument to use it. Particularly for inexperienced users, sparking curiosity for the challenges of the unknown might be a worthwhile strategy to reduce hesitation towards emerging technologies.",
         "doi" : "https://doi.org/10.1016/j.actpsy.2025.105273",
         
         "bibtexKey": "wirzberger2025performance"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2a632ab175f3ac190d854c92110d20b8e/mariawirzberger",         
         "tags" : [
            "myown","efficacy","study","sustainability","personalized","feedback","washing","field","behavior","clusters"
         ],
         
         "intraHash" : "a632ab175f3ac190d854c92110d20b8e",
         "interHash" : "b3be926625292d13566f114cf2c44c65",
         "label" : "Efficacy of personalized feedback in encouraging sustainable washing behavior: evidence from a pilot study in Germany",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2025-09-12 20:26:23",
         "changeDate" : "2025-09-12 20:26:48",
         "count" : 5,
         "pub-type": "article",
         "journal": "Frontiers in Psychology","publisher":"Frontiers Media SA",
         "year": "2025", 
         "url": "", 
         
         "author": [ 
            "Laura Höpfl","Ivan Đula","Francisco Kiss","Rebecca Walter","Maria Wirzberger"
         ],
         "authors": [
         	
            	{"first" : "Laura",	"last" : "Höpfl"},
            	{"first" : "Ivan",	"last" : "Đula"},
            	{"first" : "Francisco",	"last" : "Kiss"},
            	{"first" : "Rebecca",	"last" : "Walter"},
            	{"first" : "Maria",	"last" : "Wirzberger"}
         ],
         "volume": "15","pages": "1473953","abstract": "ntroduction: Reducing household energy consumption through behavioral changes is a key strategy in addressing the emissions driving the climate crisis. Behavioral changes in affluent households toward more sustainable practices can have a significant positive impact. Prior research highlighted the role of individual values and motivational factors in shaping sustainable clusters. A more personalized approach toward encouraging the resulting clusters of people to adopt more sustainable strategies seems promising. Such an approach could incorporate aligned feedback, which has been proven to be a powerful mechanism throughout learning processes.\r\n\r\nMethod: Over 9 weeks, a pilot study with 50 participants investigated the impact of different types of feedback on washing behavior. The within-subjects design included (1) a baseline condition, (2) feedback on energy consumption (kWh), and (3) feedback on monetary costs per cycle (EUR). Data collection encompassed pre- and post-condition surveys, a final comprehensive survey, and a diary-formatted table. The primary objective was to evaluate the potential for individualization. Asynchronous structured interviews were conducted at the end to explore participants' perceptions and washing behaviors.\r\n\r\nResults: While we found effects for the feedback manipulation, we found no differences between user clusters in individual washing behaviors. Furthermore, participants qualitatively reported habitual changes, feeling more knowledgeable about the monetary impacts of specific washing programs and temperatures, and wished for a more accessible preset time function. Most participants expressed willingness to switch to a dynamic energy price if it translated to significant cost savings.\r\n\r\nDiscussion: Our findings may support the notion that individualized behavior change strategies are promising. In general, these strategies should be easily applicable, cost-effective, and promote habits to be exerted regularly. Arising methodological limitations suggest further research in this domain. From an applied perspective, our research provides valuable insights for designing products, services, and regulations by governments and companies, empowering them to develop more effective strategies for reducing energy consumption.",
         "bibtexKey": "hopfl2025efficacy"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2b8e91288f1f78f9aad0477bca97182c1/mariawirzberger",         
         "tags" : [
            "feedback","myown","focUS","cognition","learning","training","eduScrum"
         ],
         
         "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",
         "count" : 4,
         "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"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/21f40a9cd6b355cd54aac59d027839695/mariawirzberger",         
         "tags" : [
            "distraction","feedback","myown","cognition","self-regulation","MDP","attention","llis","HCI"
         ],
         
         "intraHash" : "1f40a9cd6b355cd54aac59d027839695",
         "interHash" : "92d96b65deecca3a0794008e2fd2a81e",
         "label" : "Optimal feedback improves behavioral focus during self-regulated computer-based work",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2024-08-12 12:23:20",
         "changeDate" : "2024-08-25 17:25:18",
         "count" : 3,
         "pub-type": "article",
         "journal": "Scientific Reports",
         "year": "2024", 
         "url": "https://doi.org/10.1038/s41598-024-53388-3", 
         
         "author": [ 
            "Maria Wirzberger","Anastasia Lado","Mike Prentice","Ivan Oreshnikov","Jean-Claude Passy","Adrian Stock","Falk Lieder"
         ],
         "authors": [
         	
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Anastasia",	"last" : "Lado"},
            	{"first" : "Mike",	"last" : "Prentice"},
            	{"first" : "Ivan",	"last" : "Oreshnikov"},
            	{"first" : "Jean-Claude",	"last" : "Passy"},
            	{"first" : "Adrian",	"last" : "Stock"},
            	{"first" : "Falk",	"last" : "Lieder"}
         ],
         "volume": "14","number": "1","pages": "3124","abstract": "Distractions are omnipresent and can derail our attention, which is a precious and very limited resource. To achieve their goals in the face of distractions, people need to regulate their attention, thoughts, and behavior; this is known as self-regulation. How can self-regulation be supported or strengthened in ways that are relevant for everyday work and learning activities? To address this question, we introduce and evaluate a desktop application that helps people stay focused on their work and train self-regulation at the same time. Our application lets the user set a goal for what they want to do during a defined period of focused work at their computer, then gives negative feedback when they get distracted, and positive feedback when they reorient their attention towards their goal. After this so-called focus session, the user receives overall feedback on how well they focused on their goal relative to previous sessions. While existing approaches to attention training often use artificial tasks, our approach transforms real-life challenges into opportunities for building strong attention control skills. Our results indicate that optimal attentional feedback can generate large increases in behavioral focus, task motivation, and self-control---benefitting users to successfully achieve their long-term goals.",
         "issn" : "2045-2322",
         
         "preprinturl" : "https://doi.org/10.21203%2Frs.3.rs-3355487%2Fv1",
         
         "doi" : "10.1038/s41598-024-53388-3",
         
         "bibtexKey": "Wirzberger2024"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/24d70cb60b62d206c9162e8167351306e/mariawirzberger",         
         "tags" : [
            "feedback","myown","cognition","AI","self-regulation","learning","llis"
         ],
         
         "intraHash" : "4d70cb60b62d206c9162e8167351306e",
         "interHash" : "271134d8d8c4d3674c3166addc1b99e7",
         "label" : "Augmented learning contexts: Leveraging augmented technologies to foster self-regulation in everyday life",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2022-08-03 08:19:57",
         "changeDate" : "2023-10-31 09:24:30",
         "count" : 3,
         "pub-type": "conference",
         
         "year": "2022", 
         "url": "", 
         
         "author": [ 
            "Maria Wirzberger","Anastasia Lado","Caroline Scheiger","Adrian Stock","Francesca Zermiani"
         ],
         "authors": [
         	
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Anastasia",	"last" : "Lado"},
            	{"first" : "Caroline",	"last" : "Scheiger"},
            	{"first" : "Adrian",	"last" : "Stock"},
            	{"first" : "Francesca",	"last" : "Zermiani"}
         ],
         "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.",
         "eventtitle" : "52nd Bi-annual Congress of the German Psychological Society.",
         
         "bibtexKey": "wirzberger2022augmented"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/213ebc4a8181233a87de80249e0a594eb/mariawirzberger",         
         "tags" : [
            "distraction","feedback","myown","cognition","training","attention","control"
         ],
         
         "intraHash" : "13ebc4a8181233a87de80249e0a594eb",
         "interHash" : "8cc82162cfd50441763115ea99d70af4",
         "label" : "How to navigate everyday distractions: Leveraging optimal feedback to train attention control",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2020-08-16 17:44:17",
         "changeDate" : "2023-10-31 09:22:45",
         "count" : 3,
         "pub-type": "inproceedings",
         "booktitle": "Proceedings of the 42nd Annual Conference of the Cognitive Science Society","publisher":"Cognitive Science Society",
         "year": "2020", 
         "url": "https://maria-wirzberger.de/wp-content/uploads/2020/07/Poster_Wirzberger_CogSci2020.pdf", 
         
         "author": [ 
            "Maria Wirzberger","Anastasia Lado","Lisa Eckerstorfer","Ivan Oreshnikov","Jean-Claude Passy","Adrian Stock","Amitai Shenhav","Falk Lieder"
         ],
         "authors": [
         	
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Anastasia",	"last" : "Lado"},
            	{"first" : "Lisa",	"last" : "Eckerstorfer"},
            	{"first" : "Ivan",	"last" : "Oreshnikov"},
            	{"first" : "Jean-Claude",	"last" : "Passy"},
            	{"first" : "Adrian",	"last" : "Stock"},
            	{"first" : "Amitai",	"last" : "Shenhav"},
            	{"first" : "Falk",	"last" : "Lieder"}
         ],
         
         "editor": [ 
            "Stephanie Denison","Michael Mack","Yang Xu","Blair C. Armstrong"
         ],
         "editors": [
         	
            	{"first" : "Stephanie",	"last" : "Denison"},
            	{"first" : "Michael",	"last" : "Mack"},
            	{"first" : "Yang",	"last" : "Xu"},
            	{"first" : "Blair C.",	"last" : "Armstrong"}
         ],
         "pages": "1736","abstract": "To stay focused on their chosen tasks, people have to inhibit distractions. The underlying attention control skills can improve through reinforcement learning, which can be accelerated by giving feedback. We applied the theory of metacognitive reinforcement learning to develop a training app that gives people optimal feedback on their attention control while they are working or studying. In an eight-day field experiment with 99 participants, we investigated the effect of this training on people\u2019s productivity, sustained attention, and self-control. Compared to a control condition without feedback, we found that participants receiving optimal feedback learned to focus increasingly better (f = .08, p < .01) and achieved higher productivity scores (f = .19, p < .01) during the training. In addition, they evaluated their productivity more accurately (r = .12, p <.01). However, due to asymmetric attrition problems, these findings need to be taken with a grain of salt.",
         "bibtexKey": "wirzberger2020navigate"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2f2b1e7b1c720f1a77c0d68edfe365e60/mariawirzberger",         
         "tags" : [
            "feedback","gamification","myown","learning","education"
         ],
         
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         "interHash" : "60b8503e4b2bcc76229db4ef8022ec52",
         "label" : "How should we incentivize learning? An optimal feedback mechanism for educational games and online courses",
         "user" : "mariawirzberger",
         "description" : "",
         "date" : "2020-03-20 16:22:37",
         "changeDate" : "2020-03-20 15:23:48",
         "count" : 1,
         "pub-type": "inproceedings",
         "booktitle": "41st Annual Meeting of the Cognitive Science Society","publisher":"Cognitive Science Society","address":"Montreal, QB",
         "year": "2019", 
         "url": "", 
         
         "author": [ 
            "Lin Xu","Maria Wirzberger","Falk Lieder"
         ],
         "authors": [
         	
            	{"first" : "Lin",	"last" : "Xu"},
            	{"first" : "Maria",	"last" : "Wirzberger"},
            	{"first" : "Falk",	"last" : "Lieder"}
         ],
         "pages": "3136--3142",
         "bibtexKey": "Xu2019CogSci"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2ee24311f62b2704e33bf0feb7bb2069a/karstenkuritz",         
         "tags" : [
            "law;ensemble","oscillators;Parkinson's","dynamics;biological","curve;phase","control","formulation;cellular","rhythms;feedback;neurophysiology;oscillations;oscillators;physiological","disease;cancer;heart","states;phase","distribution;Fourier","biology;emerging","response","system;regulatory","behavior;oscillatory","populations;phase","models;healthy","models;ensemble","controllability;cellular","Papers","distributions;population-level","mechanism;Oscillators;Sociology;Statistics;Controllability;Limit-cycles;Diseases;Orbits;Systems","diseases;phase","cancer;cellular","feedback","systems","systems;cellular","parameter","biophysics;circadian","applications;distributed","coefficients;oscillating"
         ],
         
         "intraHash" : "ee24311f62b2704e33bf0feb7bb2069a",
         "interHash" : "214a67cf1ccf0a66b1cdf33f6cd3a3c3",
         "label" : "Ensemble Controllability of Cellular Oscillators",
         "user" : "karstenkuritz",
         "description" : "",
         "date" : "2019-02-07 21:34:03",
         "changeDate" : "2019-02-07 20:34:03",
         "count" : 1,
         "pub-type": "article",
         "journal": "IEEE Control Systems Letters",
         "year": "2019", 
         "url": "", 
         
         "author": [ 
            "K. Kuritz","S. Zeng","F. Allgöwer"
         ],
         "authors": [
         	
            	{"first" : "K.",	"last" : "Kuritz"},
            	{"first" : "S.",	"last" : "Zeng"},
            	{"first" : "F.",	"last" : "Allgöwer"}
         ],
         "volume": "3","number": "2","pages": "296-301",
         "issn" : "2475-1456",
         
         "doi" : "10.1109/LCSYS.2018.2870967",
         
         "bibtexKey": "kuritz18e"

      }
,
      {
         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/24a48320a55144e5de41b8899613eb3e0/mhartmann",         
         "tags" : [
            "Feedback","control","vorlaeufig"
         ],
         
         "intraHash" : "4a48320a55144e5de41b8899613eb3e0",
         "interHash" : "7d76e8038def559e45489301747640a9",
         "label" : "Reduced basis method for H2 optimal feedback control problems",
         "user" : "mhartmann",
         "description" : "",
         "date" : "2018-07-20 10:54:15",
         "changeDate" : "2018-07-20 08:54:15",
         "count" : 9,
         "pub-type": "article",
         "journal": "IFAC-PapersOnLine",
         "year": "2016", 
         "url": "http://www.sciencedirect.com/science/article/pii/S240589631630670X", 
         
         "author": [ 
            "A. Schmidt","B. Haasdonk"
         ],
         "authors": [
         	
            	{"first" : "A.",	"last" : "Schmidt"},
            	{"first" : "B.",	"last" : "Haasdonk"}
         ],
         "volume": "49","number": "8","pages": "327 - 332","note": "2nd IFAC Workshop on Control of Systems Governed by Partial Differential\n\tEquations CPDE 2016","abstract": "Abstract In this paper we examine the application of recently introduced\n\tparametric model reduction techniques to the \\H2\\ optimal feedback\n\tcontrol problem. The \\H2\\ control problem provides a realistic\n\tframework for control applications, since it considers disturbances\n\tin the system and in the measurement outputs. Furthermore it employs\n\tstate-estimation to reconstruct the unknown state from the noisy\n\tmeasurements. It turns out, that the controller is a dynamical system\n\tand two solutions of algebraic Riccati equations (AREs) are required\n\tto form it. We apply parametric model order reduction techniques\n\tto the \\AREs\\ and to the state equation of the observer and show\n\tby numerical examples, that this approach can yield a significant\n\tspeed-up in multi-query scenarios for large scale parametric problems\n\tfor the control of partial differential equations (PDE).",
         "issn" : "2405-8963",
         
         "owner" : "schmidta",
         
         "doi" : "http://dx.doi.org/10.1016/j.ifacol.2016.07.462",
         
         "bibtexKey": "schmidt2016reduced"

      }
	  
   ]
}
