Advanced user interfaces for dynamic video browsing

Hürst, Wolfgang; Götz, Georg; Jarvers, Philipp

doi:10.1145/1027527.1027694

Cited by 17 publications

(13 citation statements)

References 3 publications

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“…Previous techniques have applied elastic, rubber band-like interactions to scrubbing [17,24,34,35]. Our technique differs in that 1) it uses interaction data instead of content-driven keyframes, 2) elasticity is selectively applied to parts of the timeline, and 3) the playhead and the cursor are always synchronized, which reduced user confusion in our pilot studies.…”

Section: Non-linear Scrubbing With the Phantom Cursormentioning

confidence: 99%

Data-driven interaction techniques for improving navigation of educational videos

Kim

Guo

Cai

et al. 2014

Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology

140

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With an unprecedented scale of learners watching educational videos on online platforms such as MOOCs and YouTube, there is an opportunity to incorporate data generated from their interactions into the design of novel video interaction techniques. Interaction data has the potential to help not only instructors to improve their videos, but also to enrich the learning experience of educational video watchers. This paper explores the design space of data-driven interaction techniques for educational video navigation. We introduce a set of techniques that augment existing video interface widgets, including: a 2D video timeline with an embedded visualization of collective navigation traces; dynamic and non-linear timeline scrubbing; data-enhanced transcript search and keyword summary; automatic display of relevant still frames next to the video; and a visual summary representing points with high learner activity. To evaluate the feasibility of the techniques, we ran a laboratory user study with simulated learning tasks. Participants rated watching lecture videos with interaction data to be efficient and useful in completing the tasks. However, no significant differences were found in task performance, suggesting that interaction data may not always align with moment-by-moment information needs during the tasks.

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Section: Non-linear Scrubbing With the Phantom Cursormentioning

confidence: 99%

Data-driven interaction techniques for improving navigation of educational videos

Kim

Guo

Cai

et al. 2014

Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology

140

View full text Add to dashboard Cite

show abstract

“…A first category of works like the Smart Player [6] and elastic skimming [19] help users to scale some parts of the video time slider different from specified. This allows focussing on certain parts of the video without losing the context of the whole video.…”

Section: Video Interaction Techniquesmentioning

confidence: 99%

“…This allows users to see the whole video and to pay attention to the particularly most interesting fragments. Hurst et al [19] propose elastic skimming, a combination of the traditional video time slider and elastic graphical user interfaces [23]. Elastic skimming relates the skimming speed to the distance between the mouse pointer and the thumb on the time slider.…”

Section: Video Interaction Techniquesmentioning

confidence: 99%

Finding a needle in a haystack: an interactive video archive explorer for professional video searchers

Haesen

Meskens

Luyten

et al. 2011

Multimed Tools Appl

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Abstract1 Professional video searchers typically have to search for particular video fragments in a vast video archive that contains many hours of video data. Without having the right video archive exploration tools, this is a difficult and time consuming task that induces hours of video skimming. We propose the video archive explorer, a video exploration tool that provides visual representations of automatically detected concepts to facilitate individual and collaborative video search tasks. This video archive explorer is developed by employing a user-centred methodology, which ensures that the tool is more likely to fit to the end user needs. A qualitative evaluation with professional video searchers shows that the combination of automatic video indexing, interactive visualisations and user-centred design can result in an increased usability, user satisfaction and productivity.

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“…For example, various layouts for video keyframes for gist understanding and for searching have been studied in [11,12,13,14,15]. Selecting the right keyframes for presenting the result of a user's video query has also been studied [16] and interactive playback tools that allow efficient content-browsing [17,18], interactive montages of map and timelines to visualise news video contents [19] have been evaluated. These experiments address some of the end-user's experiences with video retrieval systems, in other words, studying the constituent elements of a more complete, integrated, full multimedia retrieval system by attempting to explore and optimise the details of the best methods to use in these searching/browsing/presentation tools.…”

Section: Retrievalmentioning

confidence: 99%

Collaborative video searching on a tabletop

et al. 2006

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Almost all system and application design for multimedia systems is based around a single user working in isolation to perform some task yet much of the work for which we use computers to help us, is based on working collaboratively with colleagues. Groupware systems do support user collaboration but typically this is supported through software and users still physically work in independently. Tabletop systems such as the DiamondTouch from MERL, are interface devices which support direct user collaboration on a tabletop. When a tabletop is used as the interface for a multimedia system, such as a video search system, then this kind of direct collaboration raises many questions for system design. In this paper we present a tabletop system for supporting a pair of users in a video search task and we evaluate the system not only in terms of search performance but also in terms of user-user interaction and how different user personalities within each a pair of searchers impacts search performance and user interaction. Incorporating the user into the system evaluation as we have done here reveals several interesting results and has important ramifications for the design of a multimedia search system.

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Advanced user interfaces for dynamic video browsing

Cited by 17 publications

References 3 publications

Data-driven interaction techniques for improving navigation of educational videos

Data-driven interaction techniques for improving navigation of educational videos

Finding a needle in a haystack: an interactive video archive explorer for professional video searchers

Collaborative video searching on a tabletop

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