Johannes Maas

Thesis Student

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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

2021

• 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.
  

2020

• 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.
  

2018

• 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.
  

2017

• Johannes Maas. StatWire: Visual Flow-Based Programming for Statistical Analysis. Bachelor's Thesis, RWTH Aachen University, Aachen, August 2017.