The document discusses interactive video and personality detection in interactive video. It notes four types of interaction with video material: navigating for more information, exploring similar or related videos, interacting with other users, and contributing additional materials. It also describes an interactive video annotation tool that can automatically and semi-automatically label large video collections in a faster and more cost-effective way to provide ground truths for computer vision tasks. Reflections suggest interactive video could engage students more and the annotation tool could help address visual data association in real time.