Assessing tools for use with webcasts

Toms, Elaine G.; Dufour, Christine; Lewis, Jonathan S.; Baecker, Ronald M.

doi:10.1145/1065385.1065403

Cited by 9 publications

(3 citation statements)

References 14 publications

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“…Studies on how archived webcasts are used [3], and on the effectiveness of navigational tools for webcast archives [21] provide clues as to how users access information in webcasts. Transcripts seem much needed to aid navigating through a webcast [3] or accessing information in spoken media [24].…”

Section: Related Workmentioning

confidence: 99%

The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives

Munteanu

Baecker

Penn

et al. 2006

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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The widespread availability of broadband connections has led to an increase in the use of Internet broadcasting (webcasting). Most webcasts are archived and accessed numerous times retrospectively. In the absence of transcripts of what was said, users have difficulty searching and scanning for specific topics. This research investigates user needs for transcription accuracy in webcast archives, and measures how the quality of transcripts affects user performance in a question-answering task, and how quality affects overall user experience. We tested 48 subjects in a within-subjects design under 4 conditions: perfect transcripts, transcripts with 25% Word Error Rate (WER), transcripts with 45% WER, and no transcript. Our data reveals that speech recognition accuracy linearly influences both user performance and experience, shows that transcripts with 45% WER are unsatisfactory, and suggests that transcripts having a WER of 25% or less would be useful and usable in webcast archives.

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Section: Related Workmentioning

confidence: 99%

The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives

Munteanu

Baecker

Penn

et al. 2006

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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“…Just like a book or a web site with many pages has a user navigation metaphor based on an index or a table of contents, a video needs structure to facilitate user through numerous scenes. Video table of contents is perceived by people to have high value for finding information, yet are seldom used for navigation when one is available [3]. Scenes are generally provided to the user with a set of thumbnails, which are called key-frames, if they are fixed pictures, or skims, if they are short videos [4].…”

Section: Related Workmentioning

confidence: 99%

Video Pulses: User-Based Modeling of Interesting Video Segments

Avlonitis

Chorianopoulos

2014

Advances in Multimedia

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We present a user-based method that detects regions of interest within a video in order to provide video skims and video summaries. Previous research in video retrieval has focused on content-based techniques, such as pattern recognition algorithms that attempt to understand the low-level features of a video. We are proposing a pulse modeling method, which makes sense of a web video by analyzing users'Replayinteractions with the video player. In particular, we have modeled the user information seeking behavior as a time series and the semantic regions as a discrete pulse of fixed width. Then, we have calculated the correlation coefficient between the dynamically detected pulses at the local maximums of the user activity signal and the pulse of reference. We have found that users'Replayactivity significantly matches the important segments in information-rich and visually complex videos, such as lecture, how-to, and documentary. The proposed signal processing of user activity is complementary to previous work in content-based video retrieval and provides an additional user-based dimension for modeling the semantics of a social video on the web.

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“…For example, a user must listen to or watch a long recording in order to locate a specific passage, instead of quickly skimming through the content of a text document looking for visual landmarks Various methods propose improved access to speech recordings by manipulating the audio playback [2,21] or to webcast archives through a table of contents [3,23] or timeline [3], although such methods have certain limitations. However, user studies [5] suggest that transcripts are a much-needed tool for carrying out complex tasks that require information-seeking from webcast archives.…”

Section: Introductionmentioning

confidence: 99%

Collaborative editing for improved usefulness and usability of transcript-enhanced webcasts

Munteanu

Baecker

Penn

2008

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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One challenge in facilitating skimming or browsing through archives of on-line recordings of webcast lectures is the lack of text transcripts of the recorded lecture. Ideally, transcripts would be obtainable through Automatic Speech Recognition (ASR). However, current ASR systems can only deliver, in realistic lecture conditions, a Word Error Rate of around 45% -above the accepted threshold of 25%. In this paper, we present the iterative design of a webcast extension that engages users to collaborate in a wiki-like manner on editing the ASR-produced imperfect transcripts, and show that this is a feasible solution for improving the quality of lecture transcripts. We also present the findings of a field study carried out in a real lecture environment investigating how students use and edit the transcripts.

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Assessing tools for use with webcasts

Cited by 9 publications

References 14 publications

The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives

The effect of speech recognition accuracy rates on the usefulness and usability of webcast archives

Video Pulses: User-Based Modeling of Interesting Video Segments

Collaborative editing for improved usefulness and usability of transcript-enhanced webcasts

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