Dr. Nicolas Pfeuffer

Alumnus
Dr. Nicolas Pfeuffer

Dr. Nicolas Pfeuffer

Alumnus
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. His research focuses on artificial intelligence (AI), human-computer interaction (HCI) and data science.

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 (Künstliche Intelligenz), 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).

Publications

VHB A+

Abdel-Karim, Benjamin M. / Pfeuffer, Nicolas / Carl, Kim Valerie / Hinz, Oliver (2023)
How AI-Based Systems Can Induce Reflections: The Case of AI-Augmented Diagnostic Work
Management Information Systems Quarterly (MISQ), Vol. 47 (4), pp. 1395-1424

VHB A

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.

VHB B

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

VHB C

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

VHB D

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

No VHB Rating

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.

Sponsors

The following sponsors support efl - the Data Science Institute Frankfurt