BSc. and MSc.

Course Description

The research seminar gives students a comprehensive insight into the research activities in the Human-Centered Computing research group, the HCC Data Lab, and current research topics and methods in the areas of social computing and human-computer interaction.

The seminar will include presentations by members of the research group by writing their BSc/MSc thesis and external researchers. In addition, there will be regular joint discussions on particularly relevant research papers or presentations. During the semester, we will be successively complete the list of topics of the seminar.

We want to foster an atmosphere for shared learning and mutual inspiration in this seminar. Therefore, it is about discussing current research results and critically reflecting on one's scientific practice.

Therefore, it is also worthwhile to participate in topics, not only in one's thematic focus. In principle, the seminar is open to all interested parties. All members of the research group and all students who write their BSc/MSc thesis at the HCC research group must participate regularly.

Here you can find our Code of Conduct.

Schedule

2.15 pm - 3.45 pm

Presentation

by Prof. Dr. Claudia Müller-Birn

Paper Discussion: To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making

Buçinca, Zana, Maja Barbara Malaya, und Krzysztof Z. Gajos. „To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making“. _Proceedings of the ACM on Human-Computer Interaction_ 5, Nr. CSCW1 (22. April 2021): 188:1-188:21. https://doi.org/10.1145/3449287

2.15 pm - 3.45 pm

Presentation and Discussion

by Diane Linke

Paper Draft Discussion: Sharpening the Design Space for Reflective Informatics (Reflection Terminology)

2.15 pm - 3.45 pm

Presentation

by Bastian Breibert

BA Proposal: Delineating the Role of Chatbot Personas as Design Objects in Conversational Agent Design

2.15 pm - 3.45 pm

Presentation and Discussion

by Katrin Glinka

Paper Discussion: Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development

Morgan Klaus Scheuerman, Alex Hanna, and Emily Denton. 2021. Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset Development. Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 317 (October 2021), 37 pages. DOI:https://doi.org/10.1145/3476058

2.15 pm - 3.45 pm

Presentation and Discussion

by Veronika Weiß

Paper Discussion: Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery

Image from: Portenoy, J., Radensky, M., West, J., Horvitz, E., Weld, D., & Hope, T. (2022). Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery (arXiv:2108.05669). arXiv. http://arxiv.org/abs/2108.05669

2.15 pm - 3.00 pm

Presentation and Discussion

by Peter Sörries

Paper Discussion: A Comparative Study of Dark Patterns Across Web and Mobile Modalities.

Johanna Gunawan, Amogh Pradeep, David Choffnes, Woodrow Hartzog, and Christo Wilson. 2021. A Comparative Study of Dark Patterns Across Web and Mobile Modalities. Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 377 (October 2021), 29 pages. https://doi.org/10.1145/3479521

2.15 pm - 3.00 pm

Presentation

by Dr. Daniel Franzen

Paper Discussion: Difficulties of Measuring Culture in Privacy Studies

Reza Ghaiumy Anaraky, Yao Li, and Bart Knijnenburg. 2021. Difficulties of Measuring Culture in Privacy Studies. Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 378 (October 2021), 26 pages. DOI:https://doi.org/10.1145/3479522