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<span class="sr-only">HCAI</span>
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<!-- <img src="images/HCAI_logo.svg">--> HCAI</a>
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<li class="active"><a href="#about">About</a></li>
<li><a href="#phdstudents">PhD Students</a></li>
<!--<li><a href="#positions">Open Positions</a></li>-->
<li><a href="#publications">Publications</a></li>
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<header class="jumbotron subhead" id="overview">
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<h1>
<img src="images/HCAI_logo.svg" style="height:97px;position:relative; top:-5px;margin-right:15px;">HCAI
</h1>
<p class="lead" style="margin-left:5px;">Human-Centered Artificial Intelligence</p>
</div>
</header>
<div class="container">
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<div class="col-md-9">
<section id="about">
<h2 class="page-header">About</h2>
<p>
The rapid development of artificial intelligence (AI) in recent years has brought enormous opportunities but has also posed new risks. AI research has so far focused primarily on the development of systems that are intended to solve increasingly complex tasks with the greatest possible accuracy. As a result, the decisions and actions of such systems are becoming increasingly difficult to comprehend.
</p>
<p>
HCAI is a doctoral research and education program run jointly by the University of Applied Sciences Upper Austria and Johannes Kepler University Linz. The program is funded by the Austrian Science Fund (FWF). It aims to put people and their needs at the center of AI research. Methods are being developed to make artificial intelligence more understandable, transparent and fair for humans on the one hand, and to support the interaction between humans and AI systems on the other hand. The doctoral students working in this program receive interdisciplinary training and work at the forefront of research and development of a newgeneration of human-centric AI technology.
</p>
<p>
The project started in April 2022 and will run for 48 months.
</p>
</section>
<section id="phdstudents">
<h2 class="page-header">PhD Students</h2>
<!--<p>
We are looking for five motivated PhD students to join the project.
If you strive to conduct cutting-edge research with a societal impact,
please see the <a href="http://www.cp.jku.at/projects/HCAI/HCAI_Job_Announcement.pdf">full announcement</a>.
</p>-->
<ul class="staff">
<li>
<a href="mailto:[email protected]" class="btn btn-md">
<span class="fa-stack fa-sm">
<i class="fa fa-circle-thin fa-stack-2x"></i>
<i class="fa fa-user fa-stack-1x"></i>
</span>
<span class="text">Amal Alnouri</span>
</a>
</li>
<li>
<a href="mailto:[email protected]" class="btn btn-md">
<span class="fa-stack fa-sm">
<i class="fa fa-circle-thin fa-stack-2x"></i>
<i class="fa fa-user fa-stack-1x"></i>
</span>
<span class="text">Christina Humer</span>
</a>
</li>
<!-- <li>
<a href="mailto:[email protected]" class="btn btn-md">
<span class="fa-stack fa-sm">
<i class="fa fa-circle-thin fa-stack-2x"></i>
<i class="fa fa-user fa-stack-1x"></i>
</span>
<span class="text">Dmitry Ivanov</span>
</a>
</li>-->
<li>
<a href="mailto:[email protected]" class="btn btn-md">
<span class="fa-stack fa-sm">
<i class="fa fa-circle-thin fa-stack-2x"></i>
<i class="fa fa-user fa-stack-1x"></i>
</span>
<span class="text">Gustavo Escobedo</span>
</a>
</li>
<li>
<a href="mailto:[email protected]" class="btn btn-md">
<span class="fa-stack fa-sm">
<i class="fa fa-circle-thin fa-stack-2x"></i>
<i class="fa fa-user fa-stack-1x"></i>
</span>
<span class="text">Karin Breckner</span>
</a>
</li>
</ul>
</section>
<!--<section id="positions">
<h2 class="page-header">Open Positions</h2>
<p>
We are looking for five motivated PhD students to join the project.
If you strive to conduct cutting-edge research with a societal impact,
please see the <a href="http://www.cp.jku.at/projects/HCAI/HCAI_Job_Announcement.pdf">full announcement</a>.
</p>
</section>-->
<section id="publications">
<h2 class="page-header">Publications</h2>
<!--<p>
Coming soon.
</p>-->
<ul class="publication-list">
<li>
Ali Nikrang, <b>Karin Breckner</b>, Thomas Neumayr, Frederik Hirschmann, <b>Mirjam Augstein</b><br>
<strong><a href="https://www.routledge.com/Artificial-Intelligence-Co-Creation-and-Creativity-The-New-Frontier-for-Innovation/Moura/p/book/9781032592626">AI Creativity in The Light of Autonomy</a></strong><br>
Artificial Intelligence, Co-Creation and Creativity: The New Frontier for Innovation, Routledge, 2024<br>
</li>
<li>
<b>Christina Humer</b>, Rachel Nicholls, Henry Heberle, Moritz Heckmann, Michael Pühringer, Thomas Wolf, Maximilian Lübbesmeyer, Julian Heinrich, Julius Hillenbrand, Giulio Volpin, <b>Marc Streit</b><br>
<strong><a href="https://jku-vds-lab.at/publications/2024_cime4r/">CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space</a></strong><br>
ChemRxiv Preprint, 2023<br>
</li>
<li>
Andreas Hinterreiter, <b>Christina Humer</b>, Benedikt Leichtmann, <b>Martina Mara</b>, <b>Marc Streit</b><br>
<strong><a href="https://jku-vds-lab.at/publications/2023_visxai_hoxai/">Of Deadly Skullcaps and Amethyst Deceivers: Reflections on a Transdisciplinary Study on XAI and Trust</a></strong><br>
6th Workshop on Visualization for AI Explainability, 2023<br>
</li>
<li>
Andreas Hinterreiter, <b>Christina Humer</b>, Bernhard Kainz, <b>Marc Streit</b><br>
<strong><a href="https://jku-vds-lab.at/publications/2023_eurovis_paradime/">ParaDime: A Framework for Parametric Dimensionality Reduction</a></strong><br>
Computer Graphics Forum (EuroVis '23), 2023<br>
</li>
<li>
<b>Christina Humer</b>, Vidya Prasad, <b>Marc Streit</b>, Hendrik Strobelt<br>
<strong><a href="https://jku-vds-lab.at/publications/2023_amumo/">Understanding and Comparing Multi-Modal Models: Exploring the Latent Space of CLIP-like Models (CLIP, CyCLIP, CLOOB) Using Inter-Modal Pairs</a></strong><br>
6th Workshop on Visualization for AI Explainability, 2023<br>
<i><b>Best Submission Award at VISxAI 2023</b></i><br>
</li>
<li>
Benedikt Leichtmann, <b>Christina Humer</b>, Andreas Hinterreiter, <b>Marc Streit</b>, <b>Martina Mara</b><br>
<strong><a href="https://jku-vds-lab.at/publications/2022_paper_hoxai_study1/">Effects of Explainable Artificial Intelligence on trust and human behavior in a high-risk decision task</a></strong><br>
Computers in Human Behavior, 2023<br>
</li>
<li>
Benedikt Leichtmann, Andreas Hinterreiter, <b>Christina Humer</b>, <b>Marc Streit</b>, <b>Martina Mara</b><br>
<strong><a href="https://jku-vds-lab.at/publications/2022_ijhci_hoxai_ars_study/">Explainable Artificial Intelligence improves human decision-making: Results from a mushroom picking experiment at a public art festival</a></strong><br>
International Journal of Human–Computer Interaction, 2023 <br>
</li>
<li>
Klaus Eckelt, Andreas Hinterreiter, Patrick Adelberger, Conny Walchshofer, Vaishali Dhanoa, <b>Christina Humer</b>, Moritz Heckmann, Christian A. Steinparz, <b>Marc Streit</b><br>
<strong><a href="https://jku-vds-lab.at/publications/2022_embedding_structure/">Visual Exploration of Relationships and Structure in Low-Dimensional Embeddings</a></strong><br>
IEEE Transactions on Visualization and Computer Graphics, 2023 <br>
</li>
<li>
Markus Trainer, <b>Christina Humer</b>, Patrick Adelberger, <b>Marc Streit</b><br>
<strong>How Far Can Public Transport Take You?</strong><br>
IEEE VIS Workshop on Visualising Cities (CityVis '23), Melbourne, AU, 2023<br>
</li>
<li>
<b>Christina Humer</b>, Andreas Hinterreiter, Benedikt Leichtmann, <b>Martina Mara</b>, <b>Marc Streit</b><br>
<strong><a href="https://jku-vds-lab.at/publications/2022_preprint_hoxai_study2/">Reassuring, Misleading, Debunking: Comparing Effects of XAI Methods on Human Decisions</a></strong><br>
OSF Preprint, 2022<br>
</li>
<li>
<b>Christina Humer</b>, Henry Heberle, Floriane Montanari, Thomas Wolf, Florian Huber, Ryan Henderson, Julian Heinrich, <b>Marc Streit</b><br>
<strong><a href="https://jku-vds-lab.at/publications/2022_cheminformatics_cime/">ChemInformatics Model Explorer (CIME): Exploratory Analysis of Chemical Model Explanations</a></strong><br>
Journal of Cheminformatics, 2022<br>
</li>
<li>
<b>Christina Humer</b>, Mohamed Elharty, Andreas Hinterreiter, <b>Marc Streit</b><br>
<strong>Interactive Attribution-based Explanations for Image Segmentation</strong><br>
EG Conference on Visualization (EuroVis '22), Rome, IT, 2022.<br>
</li>
</ul>
<!-- <h3 id="papers">Journal Publications</h3> -->
<!-- <ul class="publication-list">
<li>
Christina Niederer, Holger Stitz, Reem Hourieh, Florian Grassinger, Wolfgang Aigner, Marc Streit<br>
<strong>TACO: Visualizing Changes in Tables Over Time</strong><br>
IEEE Transactions on Visualization and Computer Graphics (InfoVis '17), 24(1), pp. 677-686, 2018.<br>
<a href="http://taco.caleydo.org"><span class="text">Paper Homepage</span></a>
</li>
<li>
Holger Stitz, Stefan Luger, Nils Gehlenborg, and Marc Streit<br>
<strong>AVOCADO: Visualization of Workflow-Derived Data Provenance for Reproducible Biomedical Research</strong><br>
Computer Graphics Forum (EuroVis '16), vol. 35, no. 3, pp. 481-490, 2016 <br>
<a href="http://avocado.caleydo.org"><span class="text">Paper Homepage</span></a>
</li>
<li>
Holger Stitz, Samuel Gratzl, Wolfgang Aigner, and Marc Streit<br>
<strong>ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor</strong><br>
IEEE Transactions on Visualization and Computer Graphics, 22(12), pp. 2594-2607, 2016<br>
<a href="http://thermalplot.pipes-vs-dams.at"><span class="text">Paper Homepage</span></a>
</li>
</ul> -->
<!-- <h3 id="posters" style="margin-top:40px">Extended Abstracts and Posters</h3> -->
<!-- <ul class="publication-list">
<li>
Holger Stitz, Samuel Gratzl, Harald Piringer, and Marc Streit<br>
<strong>Provenance-Based Visualization Retrieval</strong><br>
IEEE Conference on Visual Analytics Science and Technology (VAST ’17), Phoenix, AZ, USA, 2017<br>
<span class="award pull-right"><i class="fa fa-trophy"></i> IEEE VAST 2017 Best Poster Award</span>
<a href="http://data.caleydo.org/posters/2017_vast_provenance-retrieval_abstract.pdf"><span class="text">Poster Abstract</span></a> |
<a href="http://data.caleydo.org/posters/2017_vast_provenance-retrieval_poster.pdf"><span class="text">Poster</span></a> |
<a href="https://youtu.be/z8SSqQfrbG8"><span class="text">Video</span></a>
</li>
<li>
Reem Hourieh, Holger Stitz, Nils Gehlenborg, Marc Streit<br>
<strong>TaCo: Comparative Visualization of Large Tabular Data</strong><br>
Poster Compendium of the Eurographics/IEEE Symposium on Visualization (EuroVis ’16), Groningen, Netherlands, 2016. <br>
<a href="http://data.caleydo.org/posters/2016_eurovis_taco_abstract.pdf"><span class="text">Poster Abstract</span></a> |
<a href="http://data.caleydo.org/posters/2016_eurovis_taco_poster.pdf"><span class="text">Poster</span></a> |
<a href="https://youtu.be/yFWPCtjBlCc"><span class="text">Video</span></a>
</li>
<li>
Stefan Luger, Holger Stitz, Nils Gehlenborg, and Marc Streit<br>
<strong>Interactive Visualization of Provenance Graphs for Reproducible Biomedical Research</strong><br>
IEEE Conference on Information Visualization (InfoVis ’15), Chicago, IL, USA, 2015<br>
<span class="award pull-right"><i class="fa fa-trophy"></i> IEEE InfoVis 2015 Best Poster Award</span>
<a href="http://sluger.github.io/assets/docs/provvis-poster-submission.pdf"><span class="text">Poster Abstract</span></a> |
<a href="http://sluger.github.io/assets/docs/provvis-poster.pdf"><span class="text">Poster</span></a>
</li>
<li>
Holger Stitz, Samuel Gratzl, Wolfgang Aigner, and Marc Streit<br>
<strong>ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor</strong><br>
IEEE Conference on Information Visualization (InfoVis ’15), Chicago, IL, USA, 2015<br>
<span class="award pull-right"><i class="fa fa-trophy"></i> IEEE InfoVis 2015 Honorable Mention Poster Award</span>
<a href="http://thermalplot.pipes-vs-dams.at"><span class="text">Poster Homepage</span></a>
</li>
<li>
FH St. Pölten<br>
<strong>VisOnFire: Visual Analysis of Large and Heterogeneous Scientific Workflows for Analytical Provenance</strong><br>
European Researchers Night, 2015 <br>
<a href="resources/poster_2015_visonfire-european-researchers-night.pdf"><span class="text">Poster</span></a>
</li>
</ul> -->
<!-- <h3 id="theses" style="margin-top:40px">Theses</h3> -->
<!-- <ul class="publication-list">
<li>
Michael Gillhofer | Master's Thesis<br>
<strong>Provenance Graph Based Steering</strong><br>
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Reem Hourieh | Master's Thesis<br>
<strong>Comparative Visualization of Large Tabular Data</strong><br>
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<a href="http://sluger.github.io/">Stefan Luger</a> | Master's Thesis<br>
<strong>Interactive Visualization of Provenance Graphs for Reproducible Biomedical Research</strong><br>
Supervision: Prof. Marc Streit
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