Dr. Nicolas Pfeuffer

M.Sc. Business Informatics


LinkedIn Profile: https://www.linkedin.com/in/nicolas-pfeuffer

ResearchGate Profile: https://www.researchgate.net/profile/Nicolas_Pfeuffer


Nicolas Pfeuffer studied Business Informatics at the Goethe-Universität Frankfurt (M.Sc.). During his master’s program, he focused on Big Data and Human-Computer Interaction. Prior to his master’s degree, he completed his bachelor’s degree in Business Informatics (B.Sc.) at the University of Applied Sciences Würzburg-Schweinfurt. His focus in the bachelor’s program was on mobile markets as well as on mobile application development.

Nicolas Pfeuffer was a visiting student at Haas Business School, University of California, Berkeley after obtaining his bachelor’s degree and also at Harvard University, Cambridge during his master’s program.

Since December 2017, Nicolas Pfeuffer is a research assistant at the professorship of Prof. Dr. Oliver Hinz, at the Chair of Information Systems and Information Management.

His research focuses on artificial intelligence (AI), human-machine interaction (HCI) and data science. Among other things, he deals with the implementation and HCI to AI-based conversational agents as well as the emergence, effects and treatment of algorithmic discrimination by machine learning-based systems.

Nicolas served as as a reviewer for the KI-Journal (Artificial Intelligence), the International Conference on Information Systems (ICIS, HCI Track), the European Conference on Information Systems (ECIS), the American Conference on Information Systems (AMCIS), as well as the Internationale Tagung Wirtschaftsinformatik (WI,HCI + AI-Track).

Core Areas
  • Artificial Intelligence
  • Machine Learning
  • Human-Computer Interaction
  • Conversational Agents
  • Data Science

Pfeuffer, Nicolas / Baum, Lorenz / Stammer, Wolfgang / Abdel-Karim, Benjamin M. / Schramowski, Patrick / Bucher, Andreas M. / Hügel, Christian / Rohde, Gernot / Kersting, Kristian / Hinz, Oliver (2023): “Explanatory Interactive Machine Learning: Establishing an Action Design Research Process for Machine Learning Projects”, Business & Information Systems Engineering 65, 677–701. doi.org/10.1007/s12599-023-00806-x [Download]

Abdel-Karim, Benjamin M. / Pfeuffer, Nicolas / Carl, K. Valerie / Hinz, Oliver (2023): "How AI-Based Systems Can Induce Reflections: The Case of AI-Augmented Diagnostic Work", Management Information Systems Quarterly (MISQ), 47(4), 1395-1424. doi.org/10.25300/MISQ/2022/16773

Pfeuffer, Nicolas (2021): "Design Principles for (X)AI-based Patient Education Systems", 3. Wissenschaftsforum: Digitale Transformation, Lecture Notes in Informatics (LNI), Gesellschaft für Informatik, Bonn 2021, Accepted Paper.

Pfeuffer, Nicolas (2021): "Explainability in Interactive Machine Learning: Novel Avenues for Information Systems Research", Pacific Asia Conference on Information Systems (PACIS 2021), 231.

Hinz, Oliver / Pfeuffer, Nicolas / Stammer, Wolfgang / Schramowski, Patrick / Abdel-Karim, Benjamin M. / Bucher, Andreas / Hügel, Christian / Rohde, Gernot / Kersting, Kristian (2021) "Insights from Explainable Interactive Machine Learning in the Age of COVID-19", efl Insights (1) 2021, 06-08.

Abdel-Karim, Benjamin M. / Pfeuffer, Nicolas / Hinz, Oliver (2021): "Machine Learning in Information Systems Research - A Bibliographic Review and Open Research Issues", Electronic Markets, 31, 643-670.

Abdel-Karim, Benjamin M. / Pfeuffer, Nicolas / Rohde Gernot / Hinz, Oliver (2020): "How and what can Humans Learn from being in the Loop? Invoking Contradiction Learning as a Measure to Make Humans Smarter", German Journal on Artificial Intelligence, 34 (2), 199-207.

Pfeuffer, Nicolas / Adam, Martin / Toutaoui, Jonas / Hinz, Oliver / Benlian, Alexander (2019): "Mr. and Mrs. Conversational Agent - Gender Stereotyping in Judge-Advisor Systems and the Role of Egocentric Bias", Fortieth International Conference on Information Systems (ICIS), Munich, Germany.

Adam, Martin / Toutaoui, Jonas / Pfeuffer, Nicolas / Hinz, Oliver (2019): "Investment Decisions with Robo-Advisors: The Role of Anthropomorphism and Personalized Anchors in Recommendations", In Proceedings of the 27th European Conference on Information Systems (ECIS), Stockholm & Uppsala, Sweden, June 8-14, 2019. ISBN 978-1-7336325-0-8. Research Papers. [Download]

Pfeuffer, Nicolas / Benlian, Alexander/ Gimpel, Henner / Hinz, Oliver (2019): "Anthropomorphic Information Systems", Business & Information Systems Engineering (BISE). doi.org/10.1007/s12599-019-00599-y [Download]