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Katrin Angerbauer

M. Sc.

Doctoral Researcher
Visualization Research Center (VISUS)
Sedlmair Group

Contact

Allmandring 19
70569 Stuttgart
Germany
Room: 00.006

Subject

I'm interested in HCI and in particular in Accessibility and Assistive Technology in Visual Computing.Here, I for example investigate the accessibility of visualizations or develop tools that assist people with impairments.

Publications

2024
1. Krauter, Christian ; Angerbauer, Katrin ; Sousa Calepso, Aimée ; Achberger, Alexander ; Mayer, Sven ; Sedlmair, Michael: Sitting Posture Recognition and Feedback: A Literature Review. In: CHI ’24: Proceedings of the CHI Conference on Human Factors in Computing Systems, CHI ’24: Proceedings of the CHI Conference on Human Factors in Computing Systems. NY : ACM, 2024
  BibTeX
  @inproceedings{krauter:2024:sitting, address = {NY}, affiliation = {Krauter, Christian, University of Stuttgart. Angerbauer, Katrin, Visualisierungsinstitut der Universität Stuttgart. Sousa Calepso, Aimée, Visualisierungsinstitut der Universität Stuttgart. Achberger, Alexander, Visualisierungsinstitut der Universität Stuttgart. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Krauter, Christian and Angerbauer, Katrin and Sousa Calepso, Aimée and Achberger, Alexander and Mayer, Sven and Sedlmair, Michael}, booktitle = {CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3613904.3642657}, orcid-numbers = {Krauter, Christian/0000-0002-9787-0816, Angerbauer, Katrin/0000-0002-1126-5288, Sedlmair, Michael/0000-0001-7048-9292}, publisher = {ACM}, series = {CHI}, title = {Sitting Posture Recognition and Feedback: A Literature Review}, url = {https://github.com/ChristianKrauter/sitting-posture-review-material}, year = 2024 }
  Link
  https://github.com/ChristianKrauter/sitting-posture-review-material
  DOI
  10.1145/3613904.3642657
2023
1. Doerr, Nina ; Angerbauer, Katrin ; Reinelt, Melissa ; Sedlmair, Michael: Bees, Birds and Butterflies: Investigating the Influence of Distractors on Visual Attention Guidance Techniques. In: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Hamburg, Germany : Association for Computing Machinery, 2023 — ISBN 9781450394222
  BibTeX
  @inproceedings{10.1145/3544549.3585816, abstract = {Visual attention guidance methods direct the viewer’s gaze in immersive environments by visually highlighting elements of interest. The highlighting can be done, for instance, by adding a colored circle around elements, adding animated swarms (HiveFive), or removing objects from one eye in a stereoscopic display (Deadeye). We contribute a controlled user experiment (N=30) comparing these three techniques under the influence of visual distractors, such as bees flying by. Our results show that Circle and HiveFive performed best in terms of task performance and qualitative feedback, and were largely robust against different levels of distractions. Furthermore, we discovered a high mental demand for Deadeye.}, address = {New York, NY, USA}, articleno = {51}, author = {Doerr, Nina and Angerbauer, Katrin and Reinelt, Melissa and Sedlmair, Michael}, booktitle = {Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3544549.3585816}, isbn = {9781450394222}, location = {Hamburg, Germany}, numpages = {7}, publisher = {Association for Computing Machinery}, series = {CHI EA '23}, title = {Bees, Birds and Butterflies: Investigating the Influence of Distractors on Visual Attention Guidance Techniques}, url = {https://doi.org/10.1145/3544549.3585816}, year = 2023 }
  Link
  https://doi.org/10.1145/3544549.3585816
  DOI
  10.1145/3544549.3585816
2022
1. Abdelaal, Moataz ; Schiele, Nathan D. ; Angerbauer, Katrin ; Kurzhals, Kuno ; Sedlmair, Michael ; Weiskopf, Daniel: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. (2022), S. 1–11
  - BibTeX
  - DOI
  BibTeX
  @article{9908291, abstract = {This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study (n = 150), we measure the task accuracy and completion time of the three representations for different network classes and properties. In contrast to the literature, which covers mostly topology-based tasks (e.g., path finding) in small datasets, we mainly focus on overview tasks for large and directed networks. We consider three overview tasks on networks with 500 nodes: (T1) network class identification, (T2) cluster detection, and (T3) network density estimation, and two detailed tasks: (T4) node in-degree vs. out-degree and (T5) representation mapping, on networks with 50 and 20 nodes, respectively. Our results show that bipartite layouts are beneficial for revealing the overall network structure, while adjacency matrices are most reliable across the different tasks.}, author = {Abdelaal, Moataz and Schiele, Nathan D. and Angerbauer, Katrin and Kurzhals, Kuno and Sedlmair, Michael and Weiskopf, Daniel}, doi = {10.1109/TVCG.2022.3209427}, issn = {1941-0506}, journal = {IEEE Transactions on Visualization and Computer Graphics}, pages = {1-11}, title = {Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations}, year = 2022 }
  DOI
  10.1109/TVCG.2022.3209427
2. Dosdall, Sarah ; Angerbauer, Katrin ; Merino, Leonel ; Sedlmair, Michael ; Weiskopf, Daniel: Toward In-Situ Authoring of Situated Visualization with Chorded Keyboards. In: Burch, M. ; Wallner, G. ; Limberger, D. (Hrsg.) ; Burch, M. ; Wallner, G. ; Limberger, D. (Hrsg.): 15th International Symposium on Visual Information Communication and Interaction, VINCI 2022, Chur, Switzerland, August 16-18, 2022, 15th International Symposium on Visual Information Communication and Interaction, VINCI 2022, Chur, Switzerland, August 16-18, 2022 : ACM, 2022, S. 1–5
  BibTeX
  @inproceedings{DosdallAMSW22, abstract = {Authoring situated visualizations in-situ is challenging due to the need of writing code in a mobile and highly dynamic fashion. To provide better support for that, we define requirements for text input methods that target situated visualization authoring. We identify wearable chorded keyboards as a potentially suitable method that fulfills some of these requirements. To further investigate this approach, we tailored a chorded keyboard device to visualization authoring, developed a learning application, and conducted a pilot user study. Our results confirm that learning a high number of chords is the main barrier for adoption, as in other application areas. Based on that, we discuss ideas on how chorded keyboards with a strongly reduced alphabet, hand gestures, and voice recognition might be used as a viable, multi-modal support for authoring situated visualizations in-situ.}, author = {Dosdall, Sarah and Angerbauer, Katrin and Merino, Leonel and Sedlmair, Michael and Weiskopf, Daniel}, booktitle = {15th International Symposium on Visual Information Communication and Interaction, {VINCI} 2022, Chur, Switzerland, August 16-18, 2022}, doi = {10.1145/3554944.3554970}, editor = {Burch, Michael and Wallner, G{\"{u}}nter and Limberger, Daniel}, pages = {1-5}, publisher = {{ACM}}, title = {Toward In-Situ Authoring of Situated Visualization with Chorded Keyboards}, url = {https://doi.org/10.1145/3554944.3554970}, year = 2022 }
  Link
  https://doi.org/10.1145/3554944.3554970
  DOI
  10.1145/3554944.3554970
3. Angerbauer, Katrin ; Sedlmair, Michael: Toward Inclusion and Accessibility in Visualization Research: Speculations on Challenges, Solution Strategies, and Calls for Action (Position Paper). In: 2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), 2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV), 2022, S. 20–27
  BibTeX
  @inproceedings{9978448, abstract = {Inclusion and accessibility in visualization research have gained increasing attention in recent years. However, many challenges still remain to be solved on the road toward a more inclusive, shared-experience-driven visualization design and evaluation process. In this position paper, we discuss challenges and speculate about potential solutions, based on related work, our own research, as well as personal experiences. The goal of this paper is to start discussions on the role of accessibility and inclusion in visualization design and evaluation.}, author = {Angerbauer, Katrin and Sedlmair, Michael}, booktitle = {2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)}, doi = {10.1109/BELIV57783.2022.00007}, month = {10}, pages = {20-27}, title = {Toward Inclusion and Accessibility in Visualization Research: Speculations on Challenges, Solution Strategies, and Calls for Action (Position Paper)}, url = {https://ieeexplore.ieee.org/document/9978448}, year = 2022 }
  Link
  https://ieeexplore.ieee.org/document/9978448
  DOI
  10.1109/BELIV57783.2022.00007
4. Angerbauer, Katrin ; Rodrigues, Nils ; Cutura, René ; Öney, Seyda ; Pathmanathan, Nelusa ; Morariu, Cristina ; Weiskopf, Daniel ; Sedlmair, Michael: Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. In: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. New York, NY, USA : Association for Computing Machinery, 2022
  BibTeX
  @inproceedings{10.1145/3491102.3502133, address = {New York, NY, USA}, affiliation = {Angerbauer, Katrin, Visualisierungsinstitut der Universität Stuttgart. Rodrigues, Nils, Visualisierungsinstitut der Universität Stuttgart. Cutura, René, Visualisierungsinstitut der Universität Stuttgart. Öney, Seyda, Visualisierungsinstitut der Universität Stuttgart. Pathmanathan, Nelusa, Visualisierungsinstitut der Universität Stuttgart. Morariu, Cristina, Visualisierungsinstitut der Universität Stuttgart. Weiskopf, Daniel, Visualisierungsinstitut der Universität Stuttgart. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Angerbauer, Katrin and Rodrigues, Nils and Cutura, René and Öney, Seyda and Pathmanathan, Nelusa and Morariu, Cristina and Weiskopf, Daniel and Sedlmair, Michael}, booktitle = {Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3491102.3502133}, orcid-numbers = {Angerbauer, Katrin/0000-0002-1126-5288, Rodrigues, Nils/0000-0002-1485-8249, Cutura, René/0000-0003-0395-2448, Öney, Seyda/0000-0002-5785-6788, Pathmanathan, Nelusa/0000-0002-6848-8554, Morariu, Cristina/0000-0003-2698-4258, Weiskopf, Daniel/0000-0003-1174-1026, Sedlmair, Michael/0000-0001-7048-9292}, publisher = {Association for Computing Machinery}, series = {CHI '22}, title = {Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures}, url = {https://doi.org/10.1145/3491102.3502133}, year = 2022 }
  Link
  https://doi.org/10.1145/3491102.3502133
  DOI
  10.1145/3491102.3502133
5. Angerbauer, Katrin ; Rodrigues, Nils ; Cutura, Rene ; Öney, Seyda ; Pathmanathan, Nelusa ; Morariu, Cristina ; Weiskopf, Daniel ; Sedlmair, Michael: Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. In: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. New Orleans, LA, USA : Association for Computing Machinery, 2022 — ISBN 9781450391573
  BibTeX
  @inproceedings{10.1145/3491102.3502133, abstract = {We present an exploratory study on the accessibility of images in publications when viewed with color vision deficiencies (CVDs). The study is based on 1,710 images sampled from a visualization dataset (VIS30K) over five years. We simulated four CVDs on each image. First, four researchers (one with a CVD) identified existing issues and helpful aspects in a subset of the images. Based on the resulting labels, 200 crowdworkers provided  30,000 ratings on present CVD issues in the simulated images. We analyzed this data for correlations, clusters, trends, and free text comments to gain a first overview of paper figure accessibility. Overall, about 60 % of the images were rated accessible. Furthermore, our study indicates that accessibility issues are subjective and hard to detect. On a meta-level, we reflect on our study experience to point out challenges and opportunities of large-scale accessibility studies for future research directions.}, address = {New York, NY, USA}, articleno = {134}, author = {Angerbauer, Katrin and Rodrigues, Nils and Cutura, Rene and \"{O}ney, Seyda and Pathmanathan, Nelusa and Morariu, Cristina and Weiskopf, Daniel and Sedlmair, Michael}, booktitle = {Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3491102.3502133}, isbn = {9781450391573}, location = {New Orleans, LA, USA}, numpages = {23}, publisher = {Association for Computing Machinery}, series = {CHI '22}, title = {Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures}, url = {https://doi.org/10.1145/3491102.3502133}, year = 2022 }
  Link
  https://doi.org/10.1145/3491102.3502133
  DOI
  10.1145/3491102.3502133
6. Abdelaal, Moataz ; Schiele, Nathan Daniel ; Angerbauer, Katrin ; Kurzhals, Kuno ; Sedlmair, Michael ; Weiskopf, Daniel: Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations, DaRUS (2022)
  BibTeX
  @misc{https://doi.org/10.18419/darus-3100, author = {Abdelaal, Moataz and Schiele, Nathan Daniel and Angerbauer, Katrin and Kurzhals, Kuno and Sedlmair, Michael and Weiskopf, Daniel}, doi = {10.18419/DARUS-3100}, publisher = {DaRUS}, title = {Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations}, url = {https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-3100}, year = 2022 }
  Link
  https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-3100
  DOI
  10.18419/DARUS-3100
2021
1. Cutura, Rene ; Angerbauer, Katrin ; Heyen, Frank ; Hube, Natalie ; Sedlmair, Michael: DaRt: Generative Art using Dimensionality Reduction Algorithms. In: 2021 IEEE VIS Arts Program (VISAP), 2021 IEEE VIS Arts Program (VISAP) : IEEE, 2021, S. 59--72
  - BibTeX
  - DOI
  BibTeX
  @inproceedings{cutura2021generative, abstract = {Dimensionality Reduction (DR) is a popular technique that is often used in Machine Learning and Visualization communities to analyze high-dimensional data. The approach is empirically proven to be powerful for uncovering previously unseen structures in the data. While observing the results of the intermediate optimization steps of DR algorithms, we coincidently discovered the artistic beauty of the DR process. With enthusiasm for the beauty, we decided to look at DR from a generative art lens rather than their technical application aspects and use DR techniques to create artwork. Particularly, we use the optimization process to generate images, by drawing each intermediate step of the optimization process with some opacity over the previous intermediate result. As another alternative input, we used a neural-network model for face-landmark detection, to apply DR to portraits, while maintaining some facial properties, resulting in abstracted facial avatars. In this work, we provide such a collection of such artwork.}, author = {Cutura, Rene and Angerbauer, Katrin and Heyen, Frank and Hube, Natalie and Sedlmair, Michael}, booktitle = {2021 IEEE VIS Arts Program (VISAP)}, doi = {10.1109/VISAP52981.2021.00013}, organization = {IEEE}, pages = {59--72}, title = {DaRt: Generative Art using Dimensionality Reduction Algorithms}, year = 2021 }
  DOI
  10.1109/VISAP52981.2021.00013
2. Krauter, Christian ; Vogelsang, Jonas ; Calepso, Aimee Sousa ; Angerbauer, Katrin ; Sedlmair, Michael: Don’t Catch It: An Interactive Virtual-Reality Environment to Learn About COVID-19 Measures Using Gamification Elements. In: Mensch und Computer, Mensch und Computer : ACM, 2021, S. 593--596
  BibTeX
  @inproceedings{krauter2021muc, abstract = {The world is still under the influence of the COVID-19 pandemic. Even though vaccines are deployed as rapidly as possible, it is still necessary to use other measures to reduce the spread of the virus. Measures such as social distancing or wearing a mask receive a lot of criticism. Therefore, we want to demonstrate a serious game to help the players understand these measures better and show them why they are still necessary. The player of the game has to avoid other agents to keep their risk of a COVID-19 infection low. The game uses Virtual Reality through a Head-Mounted-Display to deliver an immersive and enjoyable experience. Gamification elements are used to engage the user with the game while they explore various environments. We also implemented visualizations that help the user with social distancing.}, author = {Krauter, Christian and Vogelsang, Jonas and Calepso, Aimee Sousa and Angerbauer, Katrin and Sedlmair, Michael}, booktitle = {Mensch und Computer}, doi = {10.1145/3473856.3474031}, pages = {593--596}, publisher = {ACM}, title = {Don’t Catch It: An Interactive Virtual-Reality Environment to Learn About {COVID-19} Measures Using Gamification Elements}, url = {https://doi.org/10.1145/3473856.3474031}, year = 2021 }
  Link
  https://doi.org/10.1145/3473856.3474031
  DOI
  10.1145/3473856.3474031
3. Hube, Natalie ; Angerbauer, Katrin ; Pohlandt, Daniel ; Vidačković, Krešimir ; Sedlmair, Michael: VR Collaboration in Large Companies: An Interview Study on the Role of Avatars. In: 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) : IEEE, 2021, S. 139--144
  - BibTeX
  - DOI
  BibTeX
  @inproceedings{hube2021collaboration, author = {Hube, Natalie and Angerbauer, Katrin and Pohlandt, Daniel and Vidačković, Krešimir and Sedlmair, Michael}, booktitle = {2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)}, doi = {10.1109/ISMAR-Adjunct54149.2021.00037}, organization = {IEEE}, pages = {139--144}, title = {VR Collaboration in Large Companies: An Interview Study on the Role of Avatars}, year = 2021 }
  DOI
  10.1109/ISMAR-Adjunct54149.2021.00037
2020
1. Streichert, Annalena ; Angerbauer, Katrin ; Schwarzl, Magdalena ; Sedlmair, Michael: Comparing Input Modalities for Shape Drawing Tasks. In: Proceedings of the Symposium on Eye Tracking Research & Applications-Short Papers (ETRA-SP), Proceedings of the Symposium on Eye Tracking Research & Applications-Short Papers (ETRA-SP) : ACM, 2020 — ISBN 9781450371346, S. 1–5
  BibTeX
  @inproceedings{10.1145/3379156.3391830, abstract = {With the growing interest in Immersive Analytics, there is also a need for novel and suitable input modalities for such applications. We explore eye tracking, head tracking, hand motion tracking, and data gloves as input methods for a 2D tracing task and compare them to touch input as a baseline in an exploratory user study (N=20). We compare these methods in terms of user experience, workload, accuracy, and time required for input. The results show that the input method has a significant influence on these measured variables. While touch input surpasses all other input methods in terms of user experience, workload, and accuracy, eye tracking shows promise in respect of the input time. The results form a starting point for future research investigating input methods.}, author = {Streichert, Annalena and Angerbauer, Katrin and Schwarzl, Magdalena and Sedlmair, Michael}, booktitle = {Proceedings of the Symposium on Eye Tracking Research & Applications-Short Papers (ETRA-SP)}, doi = {10.1145/3379156.3391830}, isbn = {9781450371346}, number = 51, pages = {1-5}, publisher = {ACM}, series = {ETRA '20 Short Papers}, title = {Comparing Input Modalities for Shape Drawing Tasks}, url = {https://doi.org/10.1145/3379156.3391830}, year = 2020 }
  Link
  https://doi.org/10.1145/3379156.3391830
  DOI
  10.1145/3379156.3391830
2. Kraus, Matthias ; Angerbauer, Katrin ; Buchmüller, Juri ; Schweitzer, Daniel ; Keim, Daniel A. ; Sedlmair, Michael ; Fuchs, Johannes: Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, Proceedings of the CHI Conference on Human Factors in Computing Systems, 2020 — ISBN 9781450367080, S. 546:1–546:14
  BibTeX
  @inproceedings{10.1145/3313831.3376675, abstract = {Heatmaps are a popular visualization technique that encode 2D density distributions using color or brightness. Experimental studies have shown though that both of these visual variables are inaccurate when reading and comparing numeric data values. A potential remedy might be to use 3D heatmaps by introducing height as a third dimension to encode the data. Encoding abstract data in 3D, however, poses many problems, too. To better understand this tradeoff, we conducted an empirical study (N=48) to evaluate the user performance of 2D and 3D heatmaps for comparative analysis tasks. We test our conditions on a conventional 2D screen, but also in a virtual reality environment to allow for real stereoscopic vision. Our main results show that 3D heatmaps are superior in terms of error rate when reading and comparing single data items. However, for overview tasks, the well-established 2D heatmap performs better.}, author = {Kraus, Matthias and Angerbauer, Katrin and Buchm\"{u}ller, Juri and Schweitzer, Daniel and Keim, Daniel A. and Sedlmair, Michael and Fuchs, Johannes}, booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3313831.3376675}, isbn = {9781450367080}, numpages = {14}, pages = {546:1–546:14}, title = {Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study}, url = {https://dl.acm.org/doi/abs/10.1145/3313831.3376675}, year = 2020 }
  Link
  https://dl.acm.org/doi/abs/10.1145/3313831.3376675
  DOI
  10.1145/3313831.3376675
3. Weiß, M. ; Angerbauer, Katrin ; Voit, Alexandra ; Schwarzl, Magdalena ; Sedlmair, Michael ; Mayer, Sven: Revisited: Comparison of Empirical Methods to Evaluate Visualizations Supporting Crafting and Assembly Purposes. In: IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Visualization and Computer Graphics. (2020), S. 1–10
  - BibTeX
  - Link
  BibTeX
  @article{9225008, affiliation = {Angerbauer, Katrin, Visualisierungsinstitut der Universität Stuttgart. Voit, Alexandra, Institut für Visualisierung und Interaktive Systeme. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Weiß, M. and Angerbauer, Katrin and Voit, Alexandra and Schwarzl, Magdalena and Sedlmair, Michael and Mayer, Sven}, journal = {IEEE Transactions on Visualization and Computer Graphics}, orcid-numbers = {Angerbauer, Katrin/0000-0002-1126-5288, Sedlmair, Michael/0000-0001-7048-9292}, pages = {1-10}, title = {Revisited: Comparison of Empirical Methods to Evaluate Visualizations Supporting Crafting and Assembly Purposes}, url = {https://ieeexplore.ieee.org/document/9225008}, year = 2020 }
  Link
  https://ieeexplore.ieee.org/document/9225008
4. Kurzhals, Kuno ; Göbel, Fabian ; Angerbauer, Katrin ; Sedlmair, Michael ; Raubal, Martin: A View on the Viewer: Gaze-Adaptive Captions for Videos. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, Proceedings of the CHI Conference on Human Factors in Computing Systems. Honolulu, HI, USA, 2020 — ISBN 9781450367080, S. 139:1–139:12
  BibTeX
  @inproceedings{10.1145/3313831.3376266, abstract = {Subtitles play a crucial role in cross-lingual distribution of multimedia content and help communicate information where auditory content is not feasible (loud environments, hearing impairments, unknown languages). Established methods utilize text at the bottom of the screen, which may distract from the video. Alternative techniques place captions closer to related content (e.g., faces) but are not applicable to arbitrary videos such as documentations. Hence, we propose to leverage live gaze as indirect input method to adapt captions to individual viewing behavior. We implemented two gaze-adaptive methods and compared them in a user study (n=54) to traditional captions and audio-only videos. The results show that viewers with less experience with captions prefer our gaze-adaptive methods as they assist them in reading. Furthermore, gaze distributions resulting from our methods are closer to natural viewing behavior compared to the traditional approach. Based on these results, we provide design implications for gaze-adaptive captions.}, author = {Kurzhals, Kuno and G\"{o}bel, Fabian and Angerbauer, Katrin and Sedlmair, Michael and Raubal, Martin}, booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3313831.3376266}, isbn = {9781450367080}, location = {Honolulu, HI, USA}, numpages = {12}, pages = {139:1–139:12}, title = {A View on the Viewer: Gaze-Adaptive Captions for Videos}, url = {https://dl.acm.org/doi/abs/10.1145/3313831.3376266}, year = 2020 }
  Link
  https://dl.acm.org/doi/abs/10.1145/3313831.3376266
  DOI
  10.1145/3313831.3376266
5. Balestrucci, Priscilla ; Angerbauer, Katrin ; Morariu, Cristina ; Welsch, Robin ; Chuang, Lewis L ; Weiskopf, Daniel ; Ernst, Marc O ; Sedlmair, Michael: Pipelines Bent, Pipelines Broken: Interdisciplinary Self-Reflection on the Impact of COVID-19 on Current and Future Research (Position Paper). In: 2020 IEEE Workshop on Evaluation and Beyond-Methodological Approaches to Visualization (BELIV), 2020 IEEE Workshop on Evaluation and Beyond-Methodological Approaches to Visualization (BELIV) : IEEE, 2020, S. 11--18
  BibTeX
  @inproceedings{balestrucci2020pipelines, abstract = {Among the many changes brought about by the COVID-19 pandemic, one of the most pressing for scientific research concerns user testing. For the researchers who conduct studies with human participants, the requirements for social distancing have created a need for reflecting on methodologies that previously seemed relatively straightforward. It has become clear from the emerging literature on the topic and from first-hand experiences of researchers that the restrictions due to the pandemic affect every aspect of the research pipeline. The current paper offers an initial reflection on user-based research, drawing on the authors' own experiences and on the results of a survey that was conducted among researchers in different disciplines, primarily psychology, human-computer interaction (HCI), and visualization communities. While this sampling of researchers is by no means comprehensive, the multi-disciplinary approach and the consideration of different aspects of the research pipeline allow us to examine current and future challenges for user-based research. Through an exploration of these issues, this paper also invites others in the VIS-as well as in the wider-research community, to reflect on and discuss the ways in which the current crisis might also present new and previously unexplored opportunities.}, author = {Balestrucci, Priscilla and Angerbauer, Katrin and Morariu, Cristina and Welsch, Robin and Chuang, Lewis L and Weiskopf, Daniel and Ernst, Marc O and Sedlmair, Michael}, booktitle = {2020 IEEE Workshop on Evaluation and Beyond-Methodological Approaches to Visualization (BELIV)}, doi = {10.1109/BELIV51497.2020.00009}, organization = {IEEE}, pages = {11--18}, title = {Pipelines Bent, Pipelines Broken: Interdisciplinary Self-Reflection on the Impact of COVID-19 on Current and Future Research (Position Paper)}, url = {https://ieeexplore.ieee.org/abstract/document/9307759}, year = 2020 }
  Link
  https://ieeexplore.ieee.org/abstract/document/9307759
  DOI
  10.1109/BELIV51497.2020.00009
6. Yu, Xingyao ; Angerbauer, Katrin ; Mohr, Peter ; Kalkofen, Denis ; Sedlmair, Michael: Perspective Matters: Design Implications for Motion Guidance in Mixed Reality. In: Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020, S. 577–587
  BibTeX
  @inproceedings{yu2020perspective, abstract = {We investigate how Mixed Reality (MR) can be used to guide human body motions, such as in physiotherapy, dancing, or workout applications. While first MR prototypes have shown promising results, many dimensions of the design space behind such applications remain largely unexplored. To better understand this design space, we approach the topic from different angles by contributing three user studies. In particular, we take a closer look at the influence of the perspective, the characteristics of motions, and visual guidance on different user performance measures. Our results indicate that a first-person perspective performs best for all visible motions, whereas the type of visual instruction plays a minor role. From our results we compile a set of considerations that can guide future work on the design of instructions, evaluations, and the technical setup of MR motion guidance systems.}, author = {Yu, Xingyao and Angerbauer, Katrin and Mohr, Peter and Kalkofen, Denis and Sedlmair, Michael}, booktitle = {Proceedings of the IEEE International Symposium on Mixed and Augmented Reality (ISMAR)}, doi = {10.1109/ISMAR50242.2020.00085}, pages = {577-587}, title = {Perspective Matters: Design Implications for Motion Guidance in Mixed Reality}, url = {https://ieeexplore.ieee.org/abstract/document/9284729}, year = 2020 }
  Link
  https://ieeexplore.ieee.org/abstract/document/9284729
  DOI
  10.1109/ISMAR50242.2020.00085
  Documents
  - final submission PID6614515.pdf
7. Kraus, Matthias ; Angerbauer, Katrin ; Buchmüller, Juri ; Schweitzer, Daniel ; Keim, Daniel A. ; Sedlmair, Michael ; Fuchs, Johannes: Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, Proceedings of the CHI Conference on Human Factors in Computing Systems, 2020, S. 546:1-546:14
  BibTeX
  @inproceedings{10.1145/3313831.3376675, affiliation = {Angerbauer, Katrin, Visualisierungsinstitut der Universität Stuttgart. Keim, Daniel A., Universität Konstanz. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Kraus, Matthias and Angerbauer, Katrin and Buchmüller, Juri and Schweitzer, Daniel and Keim, Daniel A. and Sedlmair, Michael and Fuchs, Johannes}, booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3313831.3376675}, orcid-numbers = {Angerbauer, Katrin/0000-0002-1126-5288, Sedlmair, Michael/0000-0001-7048-9292}, pages = {546:1-546:14}, title = {Assessing 2D and 3D Heatmaps for Comparative Analysis: An Empirical Study}, url = {https://dl.acm.org/doi/abs/10.1145/3313831.3376675}, year = 2020 }
  Link
  https://dl.acm.org/doi/abs/10.1145/3313831.3376675
  DOI
  10.1145/3313831.3376675
8. Kurzhals, Kuno ; Göbel, Fabian ; Angerbauer, Katrin ; Sedlmair, Michael ; Raubal, Martin: A View on the Viewer: Gaze-Adaptive Captions for Videos. In: Proceedings of the CHI Conference on Human Factors in Computing Systems, Proceedings of the CHI Conference on Human Factors in Computing Systems, 2020, S. 139:1-139:12
  BibTeX
  @inproceedings{10.1145/3313831.3376266, affiliation = {Kurzhals, Kuno, Visualisierungsinstitut der Universität Stuttgart. Angerbauer, Katrin, Visualisierungsinstitut der Universität Stuttgart. Sedlmair, Michael, Visualisierungsinstitut der Universität Stuttgart}, author = {Kurzhals, Kuno and Göbel, Fabian and Angerbauer, Katrin and Sedlmair, Michael and Raubal, Martin}, booktitle = {Proceedings of the CHI Conference on Human Factors in Computing Systems}, doi = {10.1145/3313831.3376266}, orcid-numbers = {Kurzhals, Kuno/0000-0003-4919-4582, Angerbauer, Katrin/0000-0002-1126-5288, Sedlmair, Michael/0000-0001-7048-9292}, pages = {139:1-139:12}, title = {A View on the Viewer: Gaze-Adaptive Captions for Videos}, url = {https://dl.acm.org/doi/abs/10.1145/3313831.3376266}, year = 2020 }
  Link
  https://dl.acm.org/doi/abs/10.1145/3313831.3376266
  DOI
  10.1145/3313831.3376266
2019
1. Kern, Dagmar ; Hienert, Daniel ; Angerbauer, Katrin ; Dingler, Tilman ; Borlund, Pia: Lessons learned from users reading highlighted abstracts in a digital library. In: Proceedings of the 2019 conference on human information interaction and retrieval, Proceedings of the 2019 conference on human information interaction and retrieval : ACM, 2019 — ISBN 978-1-4503-6025-8, S. 271–275
  - BibTeX
  - DOI
  BibTeX
  @inproceedings{kern2019lessons, address = {New York, NY}, affiliation = {Kern, D (Reprint Author), Leibniz Inst Social Sci, GESIS, Cologne, Germany. Kern, Dagmar; Hienert, Daniel, Leibniz Inst Social Sci, GESIS, Cologne, Germany. Angerbauer, Katrin, Univ Stuttgart, VISUS, Stuttgart, Germany. Dingler, Tilman, Univ Melbourne, Melbourne, Vic, Australia. Borlund, Pia, Oslo Metropolitan Univ, Oslo, Norway.}, author = {Kern, Dagmar and Hienert, Daniel and Angerbauer, Katrin and Dingler, Tilman and Borlund, Pia}, booktitle = {Proceedings of the 2019 conference on human information interaction and retrieval}, doi = {10.1145/3295750.3298950}, eventdate = {2019-03-10/2019-03-14}, eventtitle = {4th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR)}, isbn = {978-1-4503-6025-8}, language = {eng}, pages = {271-275}, publisher = {ACM}, research-areas = {Computer Science}, title = {Lessons learned from users reading highlighted abstracts in a digital library}, unique-id = {ISI:000471026000034}, venue = {Glasgow, Scotland}, year = 2019 }
  DOI
  10.1145/3295750.3298950
2. Angerbauer, Katrin ; Adel, Heike ; Vu, Ngoc Thang: Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience. In: Proc. Interspeech 2019, Proc. Interspeech 2019, 2019, S. 594--598
  BibTeX
  @inproceedings{Angerbauer2019, author = {Angerbauer, Katrin and Adel, Heike and Vu, Ngoc Thang}, booktitle = {Proc. Interspeech 2019}, doi = {10.21437/Interspeech.2019-1750}, pages = {594--598}, title = {Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience}, url = {http://dx.doi.org/10.21437/Interspeech.2019-1750}, year = 2019 }
  Link
  http://dx.doi.org/10.21437/Interspeech.2019-1750
  DOI
  10.21437/Interspeech.2019-1750
2017
1. Dingler, Tilman ; Kern, Dagmar ; Angerbauer, Katrin ; Schmidt, Albrecht: Text Priming - Effects of Text Visualizations on Readers Prior to Reading. In: Bernhaupt, R. ; Dalvi, G. ; Joshi, A. ; Balkrishan, D. K. ; O’Neill, J. ; Winckler, M. (Hrsg.) ; Bernhaupt, R. ; Dalvi, G. ; Joshi, A. ; Balkrishan, D. K. ; O’Neill, J. ; Winckler, M. (Hrsg.): INTERACT (3), INTERACT (3). Bd. 10515 : Springer, 2017 — ISBN 978-3-319-67687-6, S. 345–365
  - BibTeX
  - Link
  BibTeX
  @inproceedings{conf/interact/DinglerKA017, author = {Dingler, Tilman and Kern, Dagmar and Angerbauer, Katrin and Schmidt, Albrecht}, booktitle = {INTERACT (3)}, crossref = {conf/interact/2017-3}, editor = {Bernhaupt, Regina and Dalvi, Girish and Joshi, Anirudha and Balkrishan, Devanuj K. and O'Neill, Jacki and Winckler, Marco}, ee = {https://www.wikidata.org/entity/Q56913888}, isbn = {978-3-319-67687-6}, pages = {345-365}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Text Priming - Effects of Text Visualizations on Readers Prior to Reading.}, url = {http://dblp.uni-trier.de/db/conf/interact/interact2017-3.html#DinglerKA017}, volume = 10515, year = 2017 }
  Link
  http://dblp.uni-trier.de/db/conf/interact/interact2017-3.html#DinglerKA017
2. Angerbauer, Katrin ; Okanovic, Dusan ; van Hoorn, André ; Heger, Christoph: The Back End is Only One Part of the Picture: Mobile-Aware Application Performance Monitoring and Problem Diagnosis. In: Marin, A. ; Houdt, B. V. ; Casale, G. ; Petriu, D. C. ; Rossi, S. (Hrsg.) ; Marin, A. ; Houdt, B. V. ; Casale, G. ; Petriu, D. C. ; Rossi, S. (Hrsg.): VALUETOOLS, VALUETOOLS : ACM, 2017, S. 82–89
  - BibTeX
  - Link
  BibTeX
  @inproceedings{conf/valuetools/AngerbauerOHH17, author = {Angerbauer, Katrin and Okanovic, Dusan and van Hoorn, André and Heger, Christoph}, booktitle = {VALUETOOLS}, crossref = {conf/valuetools/2017}, editor = {Marin, Andrea and Houdt, Benny Van and Casale, Giuliano and Petriu, Dorina C. and Rossi, Sabina}, ee = {https://doi.org/10.1145/3150928.3150939}, pages = {82-89}, publisher = {ACM}, title = {The Back End is Only One Part of the Picture: Mobile-Aware Application Performance Monitoring and Problem Diagnosis.}, url = {http://dblp.uni-trier.de/db/conf/valuetools/valuetools2017.html#AngerbauerOHH17}, year = 2017 }
  Link
  http://dblp.uni-trier.de/db/conf/valuetools/valuetools2017.html#AngerbauerOHH17
2015
1. Angerbauer, Katrin ; Dingler, Tilman ; Kern, Dagmar ; Schmidt, Albrecht: Utilizing the Effects of Priming to Facilitate Text Comprehension. In: In Proceedings to CHI ’15 Extended Abstracts on Human Factors in Computing Systems, (CHI’15). Seoul, Republic of South Korea., In Proceedings to CHI ’15 Extended Abstracts on Human Factors in Computing Systems, (CHI’15). Seoul, Republic of South Korea.. Bd. 2015, 2015. — Rezensiertes Poster
  BibTeX
  @inproceedings{823b756c570540368a72000b14dfb66c, affiliation = {Angerbauer, Katrin, Visualisierungsinstitut der Universität Stuttgart. Dingler, Tilman, Institut für Visualisierung und Interaktive Systeme}, author = {Angerbauer, Katrin and Dingler, Tilman and Kern, Dagmar and Schmidt, Albrecht}, booktitle = {In Proceedings to CHI '15 Extended Abstracts on Human Factors in Computing Systems, (CHI'15). Seoul, Republic of South Korea.}, doi = {10.1145/2702613.2732914}, note = {Rezensiertes Poster}, orcid-numbers = {Angerbauer, Katrin/0000-0002-1126-5288}, privnote = {uid:2036}, title = {Utilizing the Effects of Priming to Facilitate Text Comprehension}, url = {http://dx.doi.org/10.1145/2702613.2732914}, volume = 2015, year = 2015 }
  Link
  http://dx.doi.org/10.1145/2702613.2732914
  DOI
  10.1145/2702613.2732914

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Katrin Angerbauer

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