Merge branch 'master' of https://github.com/jku-vds-lab/jku-vds-lab.g…

…ithub.io

_publications/2023_visxai_hoxai.md

@@ -0,0 +1,135 @@
+---
+layout: publication # do not change
+
+#### these fields are mandatory. please fill them out
+title: "Of Deadly Skullcaps and Amethyst Deceivers: Reflections on a Transdisciplinary Study on XAI and Trust" # title of your publication 
+
+# choose one of the following types:
+# "paper": Peer-Reviewed Journal and Conference Papers
+# "preprint": Preprint
+# "thesis": Thesis (e.g. Master/PhD Thesis)
+type: paper
+abstract: "Does explainability change how users interact with an artificially intelligent agent? We sought to answer this question in a transdisciplinary research project with a team of computer scientists and psychologists. We chose the high-risk decision making task of AI-assisted mushroom hunting to study the effects that explanations of AI predictions have on user trust. We present an overview of three studies, one of which was carried out in an unusual environment as part of a science and art festival. Our results show that visual explanations can lead to more adequate trust in AI systems and thereby to an improved decision correctness." # insert the abstract of your publication between the quotes; you can use html e.g. to make links (<a></a>) or generate bold (<b></b>) etc. text 
+
+####
+
+
+# set this url, if your paper is on another server; defaults to data.jku-vds-lab.at
+paper_content_url: https://jku-vds-lab.at/
+# uncomment the "hide" property, if you do not want the publication to be displayed on the website (usually you don't need this)
+# hide: True
+# uncomment the "non_group_project" property, if you only want the publication to be displayed on your personal page (i.e. publications where you contributed, but does not have anything to do with the Vis Group e.g. Master Thesis,...)
+# non_group_project: True
+
+
+#### the following fields are optional, but it is recommended to enter as much information as possible
+# The shortname is used for auto-generated titels. e.g. ConfusionFlow
+shortname: HOXAI@VISxAI
+# add a 2:1 aspect ratio (e.g., width: 400px, height: 200px) to the folder /assets/images/papers/ e.g. 2020_tvcg_confusionflow.png
+image: 2023_visxai_hoxai.png
+# add a 2:1 aspect ratio teaser figure (e.g., width: 1200px, height: 600px) to the folder /assets/images/papers/ e.g. 2020_tvcg_confusionflow_teaser.png
+image_large: 2023_visxai_hoxai_teaser.png
+
+# Authors in the "database" can be used with just the key that is specified in the corresponding .md file (usually it is the lastname in lower case e.g. doe). Authors that do not have an individual page here should be stated with their full name (e.g. John Doe)
+# each author is one item in the list. the list is enumerated with dashes ("-")
+# e.g:
+# authors:
+# - doe # .md file exists for this person
+# - streit # .md file exists for this person
+# - Max Mustermann # there is no .md file for this person.
+authors:
+- hinterreiter
+- humer
+- Benedikt Leichtmann
+- Martina Mara
+- streit
+
+# abreviation of the journal/conference ... e.g. IEEE TVCG
+journal-short: VISxAI
+# when was this publication written/ when was the publication accepted (e.g. 2020)
+year: 2023
+
+# if you have an explicit page you want to reference, use this tag; otherwise it will be generated from your doi
+publisherurl: https://visxai.io/ # add link to publisher page of your publication
+
+# what is the publication type and other bib specific properties
+bibentry: article
+bib:
+  journal: 6th Workshop on Visualization for AI Explainability 		# e.g. IEEE Transactions on Visualization and Computer Graphics (to appear)
+  booktitle: 
+  editor: 
+  publisher: 
+  address: 
+  doi: 		# e.g.10.1109/TVCG.2020.3012063
+  url: https://jku-vds-lab.at/hoxai-at-visxai
+  volume: 
+  number: 
+  pages: 
+  month: October
+
+preprint:	 # here you can put the preprint link (arxiv.org, osf.io,...) e.g. https://arxiv.org/abs/1910.00969
+
+
+# Add things like "Best Paper Award at InfoVis 2099, selected out of 4000 submissions"
+award:
+
+# state key of an internal tool. This will link to the tool site e.g. lineup (usually not needed)
+project: 
+
+# Use this if you have an external project website e.g. https://ordino.caleydoapp.org/
+external-project: 
+
+# (deprecated)
+# # The key of the video .md file (in _videos subfolder)
+# video: 
+# # The key of the preview video .md file (in _videos subfolder)
+# preview-video:
+
+# the youtube-id of the video (DEPRECATED)
+#youtube-id: 
+# the youtube-id of the preview-video (DEPRECATED)
+#preview-youtube-id: 
+
+# add videos with metadata to the sidepanel of the publication
+# parameters: 
+# -name: name of the video (keep it short)
+# -youtube-id: id of the video
+# -description: short text description, can use markdown
+# -extraurl: url with fa icon, use markdown syntax
+# -slides: add multiple file entries, baseurl is http://data.jku-vds-lab.at/papers/
+
+#videos:
+# - name: 'Coral: A Web-based Visual Analysis Tool [...] @ ISMB BioVis 2022'
+#   youtube-id: BmeaagRZWnU
+#   timestamp: 0 # optional start timestamp
+#   description: 'Usage and all applications of the Projection Space Explorer can be found on the dedicated [Landing Page](https://jku-vds-lab.at/pse/).'
+#   extraurl: '[BioVis Program](http://biovis.net/2022/program_ismb/)'
+#   slides:
+#    - file: 2022_biovis_adelberger.pdf
+#    - file: 2022_biovis_adelberger.pptx
+#  file: filename to look for, prefix http://data.jku-vds-lab.at/papers/
+
+
+# the name of your publication pdf e.g. 2020_tvcg_confusionflow.pdf; this is usually uploaded to the caleydo aws server
+pdf: hoxai-at-visxai
+# A supplement PDF e.g. 2017_preprint_taggle_supplement.pdf; this is usually uploaded to the caleydo aws server
+supplement: 
+
+# Extra supplements, such as talk slides, data sets, etc.
+supplements:
+#- name: General UpSet
+#  # use link instead of abslink if you want to link to the master directory
+#  abslink: http://vials.io/talk/
+#  # defaults to a download icon, use this if you want a link-out icon
+#  linksym: true
+
+# Link to the repository where the code is hostet
+code: https://github.com/jku-vds-lab/hoxai-at-visxai
+
+# After the --- you can put information that you want to appear on the website using markdown formatting or HTML. A good example are acknowledgements, extra references, an erratum, etc.
+---
+
+# Acknowledgements
+The main part of this project work was funded by Johannes Kepler University Linz, Linz Institute of Technology (LIT), the State of Upper Austria, and the Federal Ministry of Education, Science and Research under grant number LIT-2019-7-SEE-117, awarded to Martina Mara and Marc Streit. The “AI Forest” installation and tablet game could be realized by funding through the LIT Special Call for the Ars Electronica Festival 2021 awarded to Martina Mara. We gratefully acknowledge additional funding by the Austrian Science Fund under grant number FWF DFH 23--N, by the State of Upper Austria through the Human-Interpretable Machine Learning project, and by the Johannes Kepler Open Access Publishing Fund.
+
+This project would not have been possible without the support of many highly motivated people. We want to thank Nives Meloni, Birke van Maartens, Leonie Haasler, Gabriel Vitel, Kenji Tanaka, Stefan Eibelwimmer, Christopher Lindinger, Moritz Heckmann, Alfio Ventura, all supporting student assistants and colleagues from the Robopsychology Lab at JKU, Roman Peherstorfer and the JKU press team, Otto Stoik and the members of the Mycological Working Group (MYAG) at the Biology Center Linz, and all involved members of the German Mycological Society (DGfM).

_publications/2024_loops.md

@@ -25,7 +25,7 @@ authors:
 - Alexander Lex
 - streit
 
-year: 2023
+year: 2024
 journal-short: OSF
 
 bibentry: article
@@ -62,9 +62,9 @@ pdf: 2024_loops.pdf
 code: https://github.com/jku-vds-lab/loops
 
 abstract: "
-Exploratory data science work is often described as an iterative process with cycles of obtaining, cleaning, profiling, analyzing, and interpreting data. These cycles create challenges within the linear structure of computational notebooks, leading to code quality, recall, and reproducibility issues.
-We present Loops, a set of visual support techniques for iterative and exploratory data analysis in computational notebooks. Loops leverages provenance information to provide direct feedback on the impact of changes made within the notebook. Through compact visual representations, we trace the evolution of the notebook over time, highlighting differences between versions. Detail views allow users to compare the cell content and output. Loops is compatible with various types of content present in notebooks, such as code, markdown, data, visualizations, or images.
-Loops not only improves the reproducibility of notebooks, but also supports analysts during their data science work by showing the effects resulting from changes and facilitating the comparison of multiple versions. We demonstrate our approach's utility and potential impact through two use cases and feedback from notebook users spanning various backgrounds.
+Exploratory data science is an iterative process of obtaining, cleaning, profiling, analyzing, and interpreting data. This cyclical way of working creates challenges within the linear structure of computational notebooks, leading to issues with code quality, recall, and reproducibility.
+To remedy this, we present Loops, a set of visual support techniques for iterative and exploratory data analysis in computational notebooks. Loops leverages provenance information to visualize the impact of changes made within a notebook. In visualizations of the notebook provenance, we trace the evolution of the notebook over time and highlight differences between versions. Loops visualizes the provenance of code, markdown, tables, visualizations, and images and their respective differences. Analysts can explore these differences in detail in a separate view.
+Loops not only improves the reproducibility of notebooks but also supports analysts in their data science work by showing the effects of changes and facilitating comparison of multiple versions. We demonstrate our approach's utility and potential impact in two use cases and feedback from notebook users from various backgrounds.
 "
 
 # After the --- you can put information that you want to appear on the website using markdown formatting or HTML. A good example are acknowledgements, extra references, an erratum, etc.