ProjectsData workers perform their tasks in two phases: Experimentation andconfirmation. When performing confirmation, they face the issue ofunderstanding their experiments. To address this issue, we developedTRACTUS. It can visualize source code, organizing it into hypotheses andpresent contextual information to the data workers.

TRACTUS project page

Data workers use two modalities in their work: Scripts andcomputational notebooks. Through interviews and observations, westudied the tradeoffs between these modalities and identified thepain points data workers face.

Modality Use project page

To help students learn the practical know-how of statistical analysis, wedeveloped StatPlayground. It is a web-based simulation tool that usesvisualizations to help students self-learn statistical concepts.

StatPlayground project page

To better support the data-driven, non-linear, and iterative nature of datascience programming, we developed StatWire, a hybrid-programminginterface for R, a common programming language for statisticalcomputing.

StatWire project page

Statsplorer guides novices in selecting the appropriate statistical testsbased on their research questions. It prevents common mistakes withstatistical analysis.

Statsplorer project page

ARPen is an iOS app that allows users to perform mid-air sketching inAugmented Reality.

ARPen project page

VisualFlow is a web application that simulates evacuation scenariosacross multiple cities in Germany.

Publications

2020 ➔ Krishna Subramanian, Nur Hamdan and Jan Borchers. CasualNotebooks and Rigid Scripts: Understanding Data ScienceProgramming. (In Press) 2020 IEEE Symposium on Visual Languagesand Human-Centric Computing (VL/HCC ‘20), Dunedin, New Zealand.

➔ Krishna Subramanian, Johannes Maas and Jan Borchers. TRACTUS:Understanding and Supporting Source Code Experimentation inHypothesis-Driven Data Science. In Proceedings of the 2020 CHIConference on Human Factors in Computing Systems (CHI ‘20),ACM, New York, NY, USA.

2019 ➔ Krishna Subramanian, Jeanine Bonot, Radu A. Coanda and JanBorchers. StatPlayground: A Sandbox for Learning PracticalStatistics. In Human-Computer Interaction — INTERACT 2019,Springer International Publishing, Cham.

Krishna Subramanian, Ilya Zubarev, Simon Voelker and JanBorchers. Supporting Data Workers to Perform ExploratoryProgramming. In Extended Abstracts of the 2019 CHI Conference onHuman Factors in Computing Systems, CHI EA '19,ACM, New York, NY, USA.

2018 Krishna Subramanian, Johannes Maas, Michael Ellers, ChatWacharamanotham, Simon Voelker and Jan Borchers. StatWire: VisualFlow-based Statistical Programming. In Extended Abstracts of the2018 CHI Conference on Human Factors in Computing Systems, CHI EA'18, ACM, New York, NY, USA.

2017 Krishna Subramanian and Jan Borchers. StatPlayground: ExploringStatistics through Visualizations. In CHI '17: Extended Abstracts of the2017 CHI Conference Extended Abstracts on Human Factors inComputing Systems, CHI EA ‘17, ACM, New York, NY, USA.

2015 ➔ Chat Wacharamanotham, Krishna Subramanian, Sarah Theres Völkel,and Jan Borchers. Statsplorer: Guiding Novices in StatisticalAnalysis. In CHI '15: Proceedings of the 33rd Annual ACM Conferenceon Human Factors in Computing Systems (CHI ‘15),New York, NY, USA.

2014 Krishna Subramanian.VisiStat: Visualization-driven, Interactive Statistical Analysis.In CHI ’14: Extended Abstracts on Human Factors in Computing Systems(CHI ‘14), ACM, New York, USA.

Krishna Subramanian.VisiStat: Visualization-driven, Interactive Statistical Analysis.Masters's Thesis, RWTH Aachen University, Aachen.

➔ indicates peer-reviewed publications