README ------ This project contains supplemental material for the paper submission titled "Eliciting Multimodal and Collaborative Interactions for Data Exploration on Large Vertical Displays". ### Data ### The Data folder contains the following three CSV files: - modality-prev-experience.csv: The frequency of use participants reported for each of the interaction modalities. - interactions.csv: The 1015 interaction proposals we elicited in the study. - perceived-effectiveness.csv: Participant ratings on how effective they considered each modality for the given interaction scenario. ### Scripts ### The Scripts folder contains the following three Jupyter notebooks: - modality-prev-experience.ipynb: Code to generate Figure 2. - interactions.ipynb: Code to generate Figure 4 and Table 3. - perceived-effectiveness.ipynb: Code to generate Figure 6. The project also includes a video explaining the study, a pdf file with the top 3 proposals per referent, and another pdf file with the task prompts. ---------- ### How to run the scripts ### The Jupyter notebooks run with Python 3.8 and Jupyter Notebook 6.3. At the beginning of each notebook, you can find the list of Python libraries required. 1. Download the csv files to a folder called "data". 2. Run each script with Jupyter Notebook in the parent folder. The pdf versions of the figures will be generated in the parent folder.