Mario Nadj

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 29

Top Topics

Business Intelligence

Theoretical Framework

Frequency Ranges

Top Venues

Publications

Merlin Knaeble, Mario Nadj, Luisa Germann, Alexander Maedche
Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling Systems. ECIS (2023)
Merlin Knaeble, Gabriel Sailer, Zihan Chen, Thorsten Schwarz, Kailun Yang, Mario Nadj, Rainer Stiefelhagen, Alexander Maedche
AutoChemplete - Making Chemical Structural Formulas Accessible. W4A (2023)
Miguel Angel Meza Martínez, Mario Nadj, Moritz Langner, Peyman Toreini, Alexander Maedche
Does this Explanation Help? Designing Local Model-agnostic Explanation Representations and an Experimental Evaluation Using Eye-tracking Technology. ACM Trans. Interact. Intell. Syst. 13 (4) (2023)
Jonas Gunklach, Mario Nadj
Guidance in Business Intelligence & Analytics Systems: A Review and Research Agenda. ECIS (2023)
Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Nico Loewe, Michael T. Knierim, Alexander Maedche
To Be or Not to Be in Flow at Work: Physiological Classification of Flow Using Machine Learning. IEEE Trans. Affect. Comput. 14 (1) (2023)
Jonas Gunklach, Sven Michalczyk, Mario Nadj, Alexander Maedche
Metadata Extraction from User Queries for Self-Service Data Lake Exploration. Datenbank-Spektrum 23 (2) (2023)
Mario Nadj, Raphael Rissler, Marc T. P. Adam, Michael T. Knierim, Maximilian Li, Alexander Maedche, René Riedl
What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions. MIS Q. 47 (4) (2023)
Merlin Knaeble, Gabriel Sailer, Zihan Chen, Thorsten Schwarz, Kailun Yang, Mario Nadj, Rainer Stiefelhagen, Alexander Maedche
AutoChemplete - Making Chemical Structural Formulas Accessible. W4A (2023)
Maximilian Xiling Li, Mario Nadj, Alexander Maedche, Dirk Ifenthaler, Johannes Wöhler
Towards a Physiological Computing Infrastructure for Researching Students' Flow in Remote Learning. Technol. Knowl. Learn. 27 (2) (2022)
Sven Michalczyk, Mario Nadj, Alexander Maedche, Christoph Gröger
Demystifying Job Roles in Data Science: A Text Mining Approach. ECIS (2021)
Markus Foerste, Mario Nadj, Merlin Knaeble, Alexander Maedche, Leonie Gehrmann, Florian Stahl
An Interactive Machine Learning System for Image Advertisements. Mensch und Computer (2021)
Sven Michalczyk, Mario Nadj, Harald Beier, Alexander Maedche
Designing a Self-service Analytics System for Supply Base Optimization. CAiSE Forum (2021)
Mario Nadj, Alexander Maedche, Christian Schieder
The effect of interactive analytical dashboard features on situation awareness and task performance. Decis. Support Syst. 135 (2020)
Mario Nadj, Merlin Knaeble, Maximilian Xiling Li, Alexander Maedche
Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning. Künstliche Intell. 34 (2) (2020)
Nico Loewe, Mario Nadj
Physio-Adaptive Systems- A State-of-the-Art Review and Future Research Directions. ECIS (2020)
Merlin Knaeble, Mario Nadj, Alexander Maedche
Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Sven Michalczyk, Mario Nadj, Darius Azarfar, Alexander Maedche, Christoph Gröger
A State-of-the-Art Overview and Future Research Avenues of Self-Service Business Intelligence and Analytics. ECIS (2020)
Michael T. Knierim, Mario Nadj, Christof Weinhardt
Flow and Optimal Difficulty in the Portable EEG: On the Potentiality of using Personalized Frequency Ranges for State Detection. CHIRA (2019)
Michael T. Knierim, Mario Nadj, Maximilian Li, Christof Weinhardt
Flow in Knowledge Work Groups - Autonomy as a Driver or Digitally Mediated Communication as a Limiting Factor? ICIS (2019)
Miguel Angel Meza Martínez, Mario Nadj, Alexander Maedche
Towards an integrative Theoretical Framework of Interactive Machine Learning Systems. ECIS (2019)
Raphael Rissler, Mario Nadj, Maximilian Xiling Li, Michael Thomas Knierim, Alexander Maedche
Got Flow?: Using Machine Learning on Physiological Data to Classify Flow. CHI Extended Abstracts (2018)
Michael T. Knierim, Mario Nadj, Anuja Hariharan, Christof Weinhardt
Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks. PhyCS (2018)
Raphael Rissler, Mario Nadj, Marc T. P. Adam, Alexander Maedche
Towards an integrative Theoretical Framework of IT-Mediated interruptions. ECIS (2017)
Raphael Rissler, Mario Nadj, Marc T. P. Adam
Flow in Information Systems Research: Review, Integrative Theoretical Framework, and Future Directions. Wirtschaftsinformatik (2017)
Raphael Rissler, Mario Nadj, Alexander Maedche, Norbert Koppenhagen
Flow-Erfassung am Arbeitsplatz: Aktueller Stand der Forschung und innovative Anwendungsszenarien. Wirtschaftsinformatik Manag. 9 (6) (2017)
Mario Nadj, Christian Schieder
Towards a Taxonomy of Real-Time Business Intelligence Systems. ECIS (2017)
Mario Nadj, Felix Häußler, Stefan Wenzel, Alexander Maedche
The Smart Mobile Application Framework (SMAF) - Exploratory Evaluation in the Smart City Context. MKWI (2016)
Mario Nadj, Harshavardhan Jegadeesan, Alexander Maedche, Dirk Hoffmann, Philipp Erdmann
A Situation Awareness Driven Design for predictive Maintenance Systems: the Case of Oil and gas Pipeline Operations. ECIS (2016)
Mario Nadj, Christian Schieder
Quo vadis Real-Time Business Intelligence? A Descriptive literature Review and Future Directions. ECIS (2016)
Martin Kretzer, Mario Nadj, Alexander Mädche
The Effect of Recommender Systems on Users' Situation Awareness and Actions. ICIS (2015)