Content

Our research seminar provides a comprehensive overview of research relevant activities at the HCC.lab, as well as current research topics and methods.  It includes lectures by members of the HCC.lab, BSc/MSc thesis candidates and external researchers, but also joint discussions of particularly relevant articles or lectures.  The list of topics of the seminar will be successively expanded during the semester.  This seminar offers an atmosphere that promotes joint learning and mutual inspiration.  The research seminar is not only about research topics, but also about methods such as empirical research methods or scientific writing.  Therefore, it is also worthwhile to participate in topics that are not in one's own thematic focus.  In principle, the seminar is open to all interested parties.  All members of the HCC.lab, as well as all students writing their BSc/MSc thesis with us, should participate.

Here you can find our Code of Conduct.

Schedule

Non-lecture period

01.10.2020 - HCC Group Meeting (internal) 08.10.2020

2:00 PM - 3:00 PM

Paper Discussion
HOLZINGER, Andreas, et al. Causability and explainability of artificial intelligence in medicine. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019, 9. Jg., Nr. 4, S. e1312.

22.10.2020

2:00 PM - 3:00 PM

Guest Talk
Prof. Dr. Jonathan Jeschke gives the talk "Hi Knowledge: towards an open and interactive atlas of (biodiversity) knowledge".
Website: https://hi-knowledge.org/invasion-biology-large/
Further information in our news.

29.10.2020

3:00 PM - 4:00 PM

Paper Discussion
PEARL, Judea. Theoretical impediments to machine learning with seven sparks from the causal revolution. arXiv preprint arXiv:1801.04016, 2018.

Lecture period

05.11.2020 — HCC Group Meeting (internal) 12.11.2020 — CANCELED 19.11.2020

2:15 PM - 3:00 PM

M.Sc. Thesis Expose Presentation
Semjon Kerner presents the status of his master thesis expose "Evaluating Explainability methods in the context of Interactive Machine Learning".

3:00 PM - 4:00 PM

Paper Discussion
Q. Vera Liao, Daniel Gruen, and Sarah Miller. 2020. Questioning the AI: Informing Design Practices for Explainable AI User Experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–15. DOI:https://doi.org/10.1145/3313831.3376590 (PDF)

(postponed to Nov 26, 2020)

26.11.2020

2:00 PM - 3:00 PM

Paper Discussion
Q. Vera Liao, Daniel Gruen, and Sarah Miller. 2020. Questioning the AI: Informing Design Practices for Explainable AI User Experiences. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–15. DOI:https://doi.org/10.1145/3313831.3376590 (PDF)

3:00 PM - 4:00 PM

Presentation
"Gaze-Based Interaction and Object-Centred Learning in Mixed Reality: A Museum Case Study" by Katrin Glinka.

03.12.2020 — HCC Group Meeting (internal) 10.12.2020

2.00 PM - 3.00 PM

PhD Expose Presentation
"Mapping Digital Environmentalism: A Computational Approach" by Xixuan Zhang (PhD student, Weizenbaum Institut)

3.00 - 4.00 PM

Paper Discussion
Eiband, Malin, Hanna Schneider, Mark Bilandzic, Julian Fazekas-Con, Mareike Haug, und Heinrich Hussmann. „Bringing Transparency Design into Practice“. In Proceedings of the 2018 Conference on Human Information Interaction&Retrieval - IUI 18, 211–23. Tokyo, Japan: ACM Press, 2018. https://doi.org/10.1145/3172944.3172961. (PDF)

17.12.2020

2.00 - 3.00 PM

B.Sc. Thesis Defence
„Evaluating Information Landscapes for Interpretation of Research Topic Embedding by Non-technical Stakeholders“ by Tal Levi

07.01.2021— HCC Group (internal)

2.00 - 3.00 PM

Presentation of the EXIST project by Cecilia Maas and Laura Sofía Salas

14.01.2021 — HCC Group Meeting (internal) 21.01.2021

2.00 - 3.00 PM

M.Sc. Thesis Defence
Thesis Defence by Sinah Gürtler

3.00 - 4.00 PM

Paper Discussion
To watch: Video of talk by Iyad Rahwan: How to trust machines?
To read: Jean-François Bonnefon, Iyad Rahwan: Machine Thinking, Fast and Slow, Trends in Cognitive Sciences, Volume 24, Issue 12, 2020

28.01.2021

2.00 - 3.00 PM

PhD Proposal
"Vertrauenswürdigkeit von eHealth Apps" by Niklas von Kalckreuth

3.00 - 4.00 PM

Paper Discussion
Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, and Jennifer Wortman Vaughan. 2020. Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–14. https://doi.org/10.1145/3313831.3376219

04.02.2021

1.30 - 15.00 PM

Guest Talk
by Prof. Dr. Viktoria Pammer-Schindler (TU Graz)
Further information in our news.

3.00 - 4.00 PM

Paper Discussion
Qian Yang, Aaron Steinfeld, Carolyn Rosé, and John Zimmerman. 2020. Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–13. DOI:https://doi.org/10.1145/3313831.3376301

11.02.2021 — HCC Group Meeting (internal) 18.02.2021 — CANCELED 25.02.2021— HCC Group (internal)