Publications

Alina Schmitz-Hübsch, M. E. Gruber, Yazmin Diaz, Maria Wirzberger, und P. A. Hancock. Towards enhanced performance: an integrated framework of emotional valence, arousal, and task demand. Ergonomics, 1–14, Informa UK Limited, Juli 2024. [PUMA: cognition effort emotion llis myown performance] URL

Francesca Zermiani, Prajit Dhar, Ekta Sood, Fabian Kögel, Andreas Bulling, und Maria Wirzberger. InteRead: An Eye Tracking Dataset of Interrupted Reading. Proc. 31st Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), 1--16, 2024. [PUMA: NLP cognition dataset llis myown psycholinguistics reading]

Laura Höpfl, und Maria Wirzberger. Understanding cognition of laundry habits to foster sustainable behavior. In M. Goldwater, F. K. Anggoro, B. K. Hayes, und D. C. Ong (Hrsg.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 3954, Cognitive Science Society, 2023. [PUMA: climate cognition energy environment habits laundry llis myown] URL

Veronika Herbst, Adrian Stock, Laura Bareiß, und Maria Wirzberger. User’s acceptance of an AI-based software to promote attention control. In M. Goldwater, F. K. Anggoro, B. K. Hayes, und D. C. Ong (Hrsg.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 3911, Cognitive Science Society, 2023. [PUMA: acceptance cognition llis myown performance technology] URL

Chad C. Williams, Daniel Weinhardt, Maria Wirzberger, und Sebastian Musslick. Augmenting EEG with generative adversarial networks enhances brain decoding across classifiers and sample sizes. In M. Goldwater, F. K. Anggoro, B. K. Hayes, und D. C. Ong (Hrsg.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 1770–1776, Cognitive Science Society, 2023. [PUMA: EEG GAN brain classifier cognition llis modeling myown] URL

Francesca Zermiani, Andreas Bulling, und Maria Wirzberger. Mind wandering trait-level tendencies during lecture viewing: A pilot study. 2022 Symposium on Eye Tracking Research and Applications (ETRA '22), June 8–11, 2022, Seattle, WA, USA, ACM, New York, NY, USA, 2022. [PUMA: cognition instruction learning llis mind-wandering myown] URL

Maria Wirzberger, Anastasia Lado, Lisa Eckerstorfer, Ivan Oreshnikov, Jean-Claude Passy, Adrian Stock, Amitai Shenhav, und Falk Lieder. How to navigate everyday distractions: Leveraging optimal feedback to train attention control. In Stephanie Denison, Michael Mack, Yang Xu, und Blair C. Armstrong (Hrsg.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society, 1736, Cognitive Science Society, 2020. [PUMA: cognition distractions llis modeling myown self-regulation] URL

Tabea Berberena, und Maria Wirzberger. Embedding reflective learning opportunities in teaching about intelligent systems. In Gabriella Lapesa, Lukas Erhard, Curtis Runstedler, und Sierra Kaiser (Hrsg.), Reflection on intelligent systems: Towards a cross-disciplinary definition, 2022. [PUMA: awareness bias cognition iris learning llis myown reflection stereotype] URL

Tabea Berberena, und Maria Wirzberger. Bringing Thiagi to the classroom: Reducing stereotype-threat by promoting reflection in CRT. EARLI 2021 - Online, 2021. [PUMA: bias cognition instruction iris learning llis myown reflection stereotype] URL

Tabea Berberena, und Maria Wirzberger. Unveiling unconscious biases and stereotypes in students: The necessity of self-reflection in Higher Education. In Tecumseh Fitch, Claus Lamm, Helmut Leder, und Kristin Teßmar-Raible (Hrsg.), Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021. [PUMA: bias cognition iris learning llis myown reflection stereotype] URL

Sebastian Musslick, Maria Wirzberger, Ivan Grahek, Laura Bustamante, Amitai Shenhav, und Johnathan D. Cohen. Mental effort: One construct, many faces?. In Stephanie Denison, Michael Mack, Yang Xu, und Blair C. Armstrong (Hrsg.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society, 1-2, Cognitive Science Society, 2020. [PUMA: cognition effort llis load modeling myown] URL

Maria Wirzberger, Ivan Oreshnikov, Jean-Claude Passy, Anastasia Lado, Amitai Shenhav, und Falk Lieder. ACTrain: Ein KI-basiertes Aufmerksamkeitstraining für die Wissensarbeit. In Matthias Rötting, und Linda Onnasch (Hrsg.), Digitale Arbeit, digitaler Wandel, digitaler Mensch?. 66. Kongress der Gesellschaft für Arbeitswissenschaft, C.8.8, Gesellschaft für Arbeitswissenschaft e.V., Berlin, 2020. [PUMA: cognition distractions llis myown self-regulation technology work]

Maria Wirzberger, Jelmer P Borst, Josef F Krems, und Günter Daniel Rey. Memory-related cognitive load effects in an interrupted learning task: A model-based explanation. Trends in Neuroscience and Education, 100139, Elsevier, 2020. [PUMA: ACT-R cognition learning llis load modeling myown]

Maria Wirzberger, und Madeleine Schwarz. Förderung selbstregulierten Lernens durch ein KI-gestütztes Training. Bildung und Erziehung, (74):280-295, 2021. [PUMA: cognition distractions learning llis myown self-regulation technology]

Alina Schmitz-Hübsch, Sophie-Marie Stasch, Ron Becker, Sven Fuchs, und Maria Wirzberger. Affective response categories – Towards personalized reactions in affect-adaptive tutoring systems. Frontiers in Artificial Intelligence, 2022. [PUMA: myown emotion cognition learning llis performance] URL

Maria Wirzberger. ACTrain@School: Can we bring AI to the classroom to foster self-regulated learning?. EARLI 2021 - Online, 2021. [PUMA: cognition distractions learning llis myown self-regulation] URL