Christina Humer

I am a PhD Student and Project Assistant at the Visual Data Science Lab. Before that, I studied Computer Science at Johannes Kepler University and finished the Masters Program with focus on Data Science in August 2020. In my Master Thesis, my research focused on Semantic Image Segmentation and Image Classification in the area of bark beetle detection.

My research topics at the Visual Data Science Lab include Machine Learning Interpretability and - in general - Explainable AI.

Contact

DI Christina Humer
Project Assistant

Johannes Kepler University Linz
Institute of Computer Graphics
Altenberger Straße 69
Computer Science Building, 0307
A-4040 Linz, Austria
+43 732 2468 6638
christina.humer@jku.at
https://christina.humer.dev/
ginihumer
Google Scholar
LinkedIn

Publications

Peer-Reviewed Journal and Conference Papers

Christina Humer, Andreas Hinterreiter, Benedikt Leichtmann, Martina Mara, Marc Streit
Reassuring, Misleading, Debunking: Comparing Effects of XAI Methods on Human Decisions
ACM Transactions on Interactive Intelligent Systems, 2024

Benedikt Leichtmann, Andreas Hinterreiter, Christina Humer, Alfio Ventura, Marc Streit, Martina Mara
Moral reasoning in a digital age: Blaming artificial intelligence for incorrect high-risk decisions
Current Psychology, 2024

Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann
Michael Pühringer, Thomas Wolf, Maximilian Lübbesmeyer, Julian Heinrich, Julius Hillenbrand, Giulio Volpin, Marc Streit
CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space
Journal of Cheminformatics, 2024

Andreas Hinterreiter, Christina Humer, Benedikt Leichtmann, Martina Mara, Marc Streit
Of Deadly Skullcaps and Amethyst Deceivers: Reflections on a Transdisciplinary Study on XAI and Trust
6th Workshop on Visualization for AI Explainability, 2023

Andreas Hinterreiter, Christina Humer, Bernhard Kainz, Marc Streit
ParaDime: A Framework for Parametric Dimensionality Reduction
Computer Graphics Forum (EuroVis '23), 2023

Christina Humer, Vidya Prasad, Marc Streit, Hendrik Strobelt
Understanding and Comparing Multi-Modal Models: Exploring the Latent Space of CLIP-like Models (CLIP, CyCLIP, CLOOB) Using Inter-Modal Pairs
6th Workshop on Visualization for AI Explainability, 2023
Best Submission Award at VISxAI 2023

Benedikt Leichtmann, Christina Humer, Andreas Hinterreiter, Marc Streit, Martina Mara
Effects of Explainable Artificial Intelligence on trust and human behavior in a high-risk decision task
Computers in Human Behavior, 2023

Benedikt Leichtmann, Andreas Hinterreiter, Christina Humer, Marc Streit, Martina Mara
Explainable Artificial Intelligence improves human decision-making: Results from a mushroom picking experiment at a public art festival
International Journal of Human–Computer Interaction, 2023

Klaus Eckelt, Andreas Hinterreiter, Patrick Adelberger, Conny Walchshofer, Vaishali Dhanoa, Christina Humer, Moritz Heckmann, Christian A. Steinparz, Marc Streit
Visual Exploration of Relationships and Structure in Low-Dimensional Embeddings
IEEE Transactions on Visualization and Computer Graphics, 2023

Christina Humer, Henry Heberle, Floriane Montanari, Thomas Wolf, Florian Huber, Ryan Henderson, Julian Heinrich, Marc Streit
ChemInformatics Model Explorer (CIME): Exploratory Analysis of Chemical Model Explanations
Journal of Cheminformatics, 2022

Theses

Christina Humer
Early Detection of Spruce Bark Beetles using Semantic Segmentation and Image Classification
Johannes Kepler University, 2020

Selected Abstracts and Posters

Markus Trainer, Christina Humer, Patrick Adelberger, Marc Streit,
How Far Can Public Transport Take You? Abstract Poster
IEEE VIS Workshop on Visualising Cities (CityVis '23), Melbourne, AU, 2023.

Christina Humer, Mohamed Elharty, Andreas Hinterreiter, Marc Streit,
Interactive Attribution-based Explanations for Image Segmentation Abstract Poster Video
EG Conference on Visualization (EuroVis '22), Rome, IT, 2022.