We present an analytic provenance data repository that can be used to study human analysis activity, thought processes, and software interaction with visual analysis tools during exploratory data analysis. We conducted a series of user studies involving exploratory data analysis scenario with textual and cyber security data. Interactions logs, think-alouds, videos and all coded data in this study are available online for research purposes. Analysis sessions are segmented in multiple sub-task steps based on user think-alouds, video and audios captured during the studies. These analytic provenance datasets can be used for research involving tools and techniques for analyzing interaction logs and analysis history. By providing high-quality coded data along with interaction logs, it is possible to compare algorithmic data processing techniques to the ground-truth records of analysis history.
@article{arxiv.1801.05076,
title = {Analytic Provenance Datasets: A Data Repository of Human Analysis Activity and Interaction Logs},
author = {Sina Mohseni and Andrew Pachuilo and Ehsanul Haque Nirjhar and Rhema Linder and Alyssa Pena and Eric D. Ragan},
journal= {arXiv preprint arXiv:1801.05076},
year = {2018}
}
Comments
Datasets are available online at https://research.arch.tamu.edu/analytic-provenance/datasets/ for research purposes