In 2020 I worked on my Master's thesis "Understanding and Supporting Analysis of Audio and Video", supervised by Krishna Subramanian. More information on the thesis is available on its web page.
In 2017 I worked on my Bachelor's thesis "StatWire: Visual Flow-Based Programming for Statistical Analysis", also supervised by Krishna Subramanian,
I have worked as a video HiWi under the supervision of Oliver Nowak.
Publications
- Krishna Subramanian, Johannes Maas, Jan Borchers and James Hollan. From Detectables to Inspectables: Understanding Qualitative Analysis of Audiovisual Data. In Proceedings of the 2021 ACM Conference on Human Factors in Computing Systems, CHI 2021, ACM, May 2021.
- Johannes Maas. Understanding and Supporting Analysis of Audio and Video. Master's Thesis, RWTH Aachen University, Aachen, September 2020.
- Krishna Subramanian, Johannes Maas and Jan Borchers. TRACTUS: Understanding and Supporting Source Code Experimentation in Hypothesis-Driven Data Science. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, CHI '20, pages 10, ACM, New York, NY, USA, April 2020.
- Krishna Subramanian, Johannes Maas, Michael Ellers, Chat Wacharamanotham, Simon Voelker and Jan Borchers. StatWire: Visual Flow-based Statistical Programming. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, CHI EA '18, pages LBW104:1–LBW104:6, ACM, New York, NY, USA, April 2018.
- Johannes Maas. StatWire: Visual Flow-Based Programming for Statistical Analysis. Bachelor's Thesis, RWTH Aachen University, Aachen, August 2017.