CoUX is a collaborative visual analytics tool to support multiple UX evaluators with analyzing think-aloud usability test recordings. From an input video, a video analysis engine extracts various types of features, which are stored on a back-end and presented on a front-end visual interface to facilitate the identification of usability problems among UX evaluators. Moreover, the front-end, consisting of three interactively coordinated panels, communicates with the back-end to support individual problem logging and annotation as well as collaboration amongst a team of UX evaluators.
This repo contains the code for two main parts of the system: 1) the video analysis engine, and 2) the user interface. The code is in corresponding with the following paper:
Ehsan Jahangirzadeh Soure*, Emily Kuang*, Mingming Fan, Jian Zhao. CoUX: Collaborative Visual Analysis of Think-Aloud Usability Test Videos for Digital Interfaces. IEEE Transactions on Visualization and Computer Graphics (Proceedings of VIS'21), 2022.
A video demostration of the system can be viewed here.
Follow the instructions in the README.md under the video-analysis-engine folder to extract the acoustic, visual, and textual features.
Follow the instructions in the README.md under the user-interface folder to run/deploy the backend and frontend.