The Effect of Recommender Systems on Users' Situation Awareness and Actions. - Martin Kretzer; Mario Nadj; Alexander Mädche (ICIS, 2015)

A Situation Awareness Driven Design for predictive Maintenance Systems: the Case of Oil and gas Pipeline Operations. - Mario Nadj; Harshavardhan Jegadeesan; Alexander Maedche; Dirk Hoffmann; Philipp Erdmann (ECIS, 2016)

Quo vadis Real-Time Business Intelligence? A Descriptive literature Review and Future Directions. - Mario Nadj; Christian Schieder (ECIS, 2016)

The Smart Mobile Application Framework (SMAF) - Exploratory Evaluation in the Smart City Context. - Mario Nadj; Felix Häußler; Stefan Wenzel; Alexander Maedche (MKWI, 2016)

Towards a Taxonomy of Real-Time Business Intelligence Systems. - Mario Nadj; Christian Schieder (ECIS, 2017)

Towards an integrative Theoretical Framework of IT-Mediated interruptions. - Raphael Rissler; Mario Nadj; Marc T. P. Adam; Alexander Maedche (ECIS, 2017)

Flow in Information Systems Research: Review, Integrative Theoretical Framework, and Future Directions. - Raphael Rissler; Mario Nadj; Marc T. P. Adam (Wirtschaftsinformatik, 2017)

Flow-Erfassung am Arbeitsplatz: Aktueller Stand der Forschung und innovative Anwendungsszenarien. - Raphael Rissler; Mario Nadj; Alexander Maedche; Norbert Koppenhagen (Wirtschaftsinformatik Manag., 2017)

Got Flow?: Using Machine Learning on Physiological Data to Classify Flow. - Raphael Rissler; Mario Nadj; Maximilian Xiling Li; Michael Thomas Knierim; Alexander Maedche (CHI Extended Abstracts, 2018)

Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks. - Michael T. Knierim; Mario Nadj; Anuja Hariharan; Christof Weinhardt (PhyCS, 2018)

Flow and Optimal Difficulty in the Portable EEG: On the Potentiality of using Personalized Frequency Ranges for State Detection. - Michael T. Knierim; Mario Nadj; Christof Weinhardt (CHIRA, 2019)

Towards an integrative Theoretical Framework of Interactive Machine Learning Systems. - Miguel Angel Meza Martínez; Mario Nadj; Alexander Maedche (ECIS, 2019)

Flow in Knowledge Work Groups - Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor? - Michael T. Knierim; Mario Nadj; Maximilian Xiling Li; Christof Weinhardt (ICIS, 2019)

Physio-Adaptive Systems- A State-of-the-Art Review and Future Research Directions. - Nico Loewe; Mario Nadj (ECIS, 2020)

A State-of-the-Art Overview and Future Research Avenues of Self-Service Business Intelligence and Analytics. - Sven Michalczyk; Mario Nadj; Darius Azarfar; Alexander Maedche; Christoph Gröger (ECIS, 2020)

Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning. - Merlin Knaeble; Mario Nadj; Alexander Maedche (Wirtschaftsinformatik (Zentrale Tracks), 2020)

The effect of interactive analytical dashboard features on situation awareness and task performance. - Mario Nadj; Alexander Maedche; Christian Schieder (Decis. Support Syst., 2020)

Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning. - Mario Nadj; Merlin Knaeble; Maximilian Xiling Li; Alexander Maedche (Künstliche Intell., 2020)

Designing a Self-service Analytics System for Supply Base Optimization. - Sven Michalczyk; Mario Nadj; Harald Beier; Alexander Maedche (CAiSE Forum, 2021)

Demystifying Job Roles in Data Science: A Text Mining Approach. - Sven Michalczyk; Mario Nadj; Alexander Maedche; Christoph Gröger (ECIS, 2021)

An Interactive Machine Learning System for Image Advertisements. - Markus Foerste; Mario Nadj; Merlin Knaeble; Alexander Maedche; Leonie Gehrmann; Florian Stahl (MuC, 2021)

Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning. - Maximilian Xiling Li; Mario Nadj; Alexander Maedche; Dirk Ifenthaler; Johannes Wöhler (Technol. Knowl. Learn., 2022)

Guidance in Business Intelligence & Analytics Systems: A Review and Research Agenda. - Jonas Gunklach; Mario Nadj (ECIS, 2023)

Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling Systems. - Merlin Knaeble; Mario Nadj; Luisa Germann; Alexander Maedche (ECIS, 2023)

AutoChemplete - Making Chemical Structural Formulas Accessible. - Merlin Knaeble; Gabriel Sailer; Zihan Chen; Thorsten Schwarz; Kailun Yang 001; Mario Nadj; Rainer Stiefelhagen; Alexander Maedche (W4A, 2023)

Metadata Extraction from User Queries for Self-Service Data Lake Exploration. - Jonas Gunklach; Sven Michalczyk; Mario Nadj; Alexander Maedche (Datenbank-Spektrum, 2023)

What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions. - Mario Nadj; Raphael Rissler; Marc T. P. Adam; Michael T. Knierim; Maximilian Xiling Li; Alexander Maedche; René Riedl (MIS Q., 2023)

To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning. - Raphael Rissler; Mario Nadj; Maximilian Xiling Li; Nico Loewe; Michael T. Knierim; Alexander Maedche (IEEE Trans. Affect. Comput., 2023)

Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation Using Eye-tracking Technology. - Miguel Angel Meza Martínez; Mario Nadj; Moritz Langner; Peyman Toreini; Alexander Maedche (ACM Trans. Interact. Intell. Syst., 2023)

Designing for Effective Human-Guided Machine Learning Feasibility Analysis. - Jonas Gunklach; Mario Nadj; Merlin Knaeble; Isabela Bragaglia; Alexander Mädche (ICIS, 2024)

Mental Readiness and Fatigue: Extended Perspectives on Cognitive Functioning and Flow Experiences at Work. - Lukas Schick; Michael Thomas Knierim; Benjamin Gaube; Mario Nadj; Alexander Mädche (CHI Extended Abstracts, 2025)

Interactive Explainable Intelligent Systems: Requirements, Design Principles, and Prototypical Implementation. - Pauline Speckmann; Mario Nadj; Christian Janiesch (DESRIST (2), 2025)

IXAII: An Interactive Explainable Artificial Intelligence Interface for Decision Support Systems. - Pauline Speckmann; Mario Nadj; Christian Janiesch (CoRR, 2025)