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Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?

Authors :
Perez-Ortiz, Maria
Bulathwela, Sahan
Dormann, Claire
Verma, Meghana
Kreitmayer, Stefan
Noss, Richard
Shawe-Taylor, John
Rogers, Yvonne
Yilmaz, Emine
Publication Year :
2022

Abstract

Prior research has shown how 'content preview tools' improve speed and accuracy of user relevance judgements across different information retrieval tasks. This paper describes a novel user interface tool, the Content Flow Bar, designed to allow users to quickly identify relevant fragments within informational videos to facilitate browsing, through a cognitively augmented form of navigation. It achieves this by providing semantic "snippets" that enable the user to rapidly scan through video content. The tool provides visually-appealing pop-ups that appear in a time series bar at the bottom of each video, allowing to see in advance and at a glance how topics evolve in the content. We conducted a user study to evaluate how the tool changes the users search experience in video retrieval, as well as how it supports exploration and information seeking. The user questionnaire revealed that participants found the Content Flow Bar helpful and enjoyable for finding relevant information in videos. The interaction logs of the user study, where participants interacted with the tool for completing two informational tasks, showed that it holds promise for enhancing discoverability of content both across and within videos. This discovered potential could leverage a new generation of navigation tools in search and information retrieval.<br />Comment: Published at the ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'22)

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2201.03408
Document Type :
Working Paper