Mario Nadj
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The effect of interactive analytical dashboard features on situation awareness and task performance
M Nadj, A Maedche, C Schieder
Decision support systems 135, 113322, 2020
Got flow? Using machine learning on physiological data to classify flow
R Rissler, M Nadj, MX Li, MT Knierim, A Maedche
Extended abstracts of the 2018 CHI conference on human factors in computing …, 2018
A state-of-the-art overview and future research avenues of self-service business intelligence and analytics
S Michalczyk, M Nadj, D Azarfar, A Maedche, C Gröger
Flow in information systems research: Review, integrative theoretical framework, and future directions
R Rissler, M Nadj, M Adam
To be or not to be in flow at work: physiological classification of flow using machine learning
R Rissler, M Nadj, MX Li, N Loewe, MT Knierim, A Maedche
IEEE transactions on affective computing 14 (1), 463-474, 2020
Towards an integrative theoretical framework of IT-mediated interruptions
R Rissler, M Nadj, M Adam, A Maedche
Towards an integrative theoretical framework of interactive machine learning systems
MA Meza Martínez, M Nadj, A Maedche
A Situation Awareness Driven Design for predictive Maintenance Systems: the Case of Oil and gas Pipeline Operations.
M Nadj, H Jegadeesan, A Maedche, D Hoffmann, P Erdmann
ECIS, 2016
Power to the oracle? design principles for interactive labeling systems in machine learning
M Nadj, M Knaeble, MX Li, A Maedche
KI-Künstliche Intelligenz 34, 131-142, 2020
Demystifying job roles in data science: a text mining approach
S Michalczyk, M Nadj, A Maedche, C Gröger
Physio-Adaptive Systems-A State-of-the-Art Review and Future Research Directions.
N Loewe, M Nadj
ECIS, 2020
Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning.
M Knaeble, M Nadj, A Maedche
Wirtschaftsinformatik (Zentrale Tracks), 2-16, 2020
Exploring flow psychophysiology in knowledge work
MT Knierim, R Rissler, A Hariharan, M Nadj, C Weinhardt
Information Systems and Neuroscience: NeuroIS Retreat 2018, 239-249, 2019
Quo vadis real-time business intelligence? a descriptive literature review and future directions
M Nadj, C Schieder
Towards a situation-awareness-driven design of operational business intelligence & analytics systems
M Nadj, S Morana, A Maedche
Univ. College, CORA, 2015
Flow Neurophysiology in Knowledge Work: Electroencephalographic Observations from Two Cognitive Tasks.
MT Knierim, M Nadj, A Hariharan, C Weinhardt
PhyCS, 42-53, 2018
What Disrupts Flow in Office Work? The Impact of Frequency and Relevance of IT-Mediated Interruptions.
M Nadj, R Rissler, MTP Adam, MT Knierim, MX Li, A Maedche, R Riedl
MIS Quarterly 47 (4), 2023
Towards a Physiological Computing Infrastructure for Researching Students’ Flow in Remote Learning: Preliminary Results from a Field Study
MX Li, M Nadj, A Maedche, D Ifenthaler, J Wöhler
Technology, Knowledge and Learning, 1-20, 2022
Situation awareness in aircraft ground handling: the impact of auditory and visual notification cues
M Nadj, A Maedche
Journal of cognitive engineering and decision making 13 (2), 102-122, 2019
Flow and Optimal Difficulty in the Portable EEG: On the Potentiality of using Personalized Frequency Ranges for State Detection.
MT Knierim, M Nadj, C Weinhardt
CHIRA, 183-190, 2019
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