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

Perez-Ortiz, Maria; Bulathwela, Sahan; Dormann, Claire; Verma, Meghana; Kreitmayer, Stefan; Noss, Richard; Shawe-Taylor, John; ... Yilmaz, Emine; + view all (2022) Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos? In: CHIIR '22: Proceedings of the 2022 Conference on Human Information Interaction and Retrieval. (pp. pp. 90-101). ACM Green open access

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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 visuallyappealing 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.

Type: Proceedings paper
Title: Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
Event: ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR'22)
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3498366.3505814
Publisher version: https://doi.org/10.1145/3498366.3505814
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10142920
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