Skeletonographer - Skeleton-based Digital Ethnography Tool [Demonstration]
CSCW '19: Conference Companion Publication of Computer Supported Cooperative Work and Social Computing 2019
Bokyung Lee, Michael Lee, Pan Zhang, Alexander Tessier, Daniel Saakes, Azam Khan
November 2019
4 Pages
Understanding natural human behaviours in-the-wild are highly valued in HCI and CSCW communities. However, it is challenging to collect and analyze the field data due to public privacy. We present Skeletonographer, the tool that supports anonymous digital ethnography studies using skeletonized representations of people. Our system utilizes computer vision techniques to generate and visualize skeletons from video. Users can play back the skeleton data similar to a video player, and apply custom labels for analysis. We applied this tool to our project as a case study, and proved its feasibility to act as an ethnographic research tool.