Inga Ibs

Inga Ibs joined the lab as a PhD student in June 2020.

From 2020-2023 she is part of the PlexPlain Project investigating approaches for explainable AI for linear programs.

Since 2023 she is part of the LOEWE Research Cluster WhiteBox reseraching methods to make AI and Humans more explainable.

I am currently interested in understanding how human observers of complex systems build explanations for the system's behavior and how similar explanations can be automatically generated for complex artificial intelligence-based systems to aid human understanding of these systems.

During my studies in Cognitive Science at Osnabrück University I worked on probabilistic modeling of decision making under uncertainty and their applications in medical and legal contexts.

• Kadner, F., Willkomm, H., Ibs, I., & Rothkopf, C. (2023). Finding your Way Out: Planning Strategies in Human Maze-Solving Behavior. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45).
• Claire Ott & Inga Ibs (2022) Leveraging Human Optimization Strategies for Explainable AI, Talk at the „Workshop on Human Behavioral Aspects of (X)AI“ Birkbeck, University of London
• Talk at the GK Doctoral Symposium on Cognitive Science „Perspectives on Learning“ (2022), where I was also part of the organizational team.
• Ibs, I., and Potyka, N. (2020), Explainable Automated Reasoning in Law using Probabilis-tic Epistemic Argumentation, Talk at the virtual „Workshop on Models of LegalReasoning“ held in conjunction with the „International Conference on Principles of Knowledge Representation and Reasoning“
• Ehinger, B.V., Gross, K., Ibs, I., and Koenig, P. A new comprehensive eye-tracking test battery concurrently evaluating the Pupil Labs glasses and the EyeLink 1000, PeerJ, 7,e7086
• Wiggermann, V., Ibs, I., Schoerner, S., Hernandez-Torres, E., Vorobeychik, G., Metz, L., Li, D., Traboulsee, A. and Rauscher, A. Exploring Mechanisms of Multiple Sclerosis Lesion Evolution Using Advanced MRI, Neurology, 86

B.Sc.

• Sabine Dotterer: Investigating the Influence of Different Cost-Profit Ratios on Human Performance and Strategies in Optimization Problems in an Eye Tracking Experiment
• Jaron Schäfer: Linking Human Reconstruction Models for Policy Summarizations to Task Structure

M.Sc.

• Jonas Matthias Hillebrand: Humans & Machines: Investigating Joint Performance in a Traffic Management Game