INTERACTION SUPPORT FOR INFORMATION FINDING AND COMPARATIVE ANALYSIS IN ONLINE VIDEO

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Xia, J. (2017). INTERACTION SUPPORT FOR INFORMATION FINDING AND COMPARATIVE ANALYSIS IN ONLINE VIDEO. Unc Charlotte Electronic Theses And Dissertations.
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Abstract

Current online video interaction is typically designed with a focus on straightforward distribution and passive consumption of individual videos. This "click play, sit back and watch" context is typical of videos for entertainment. However, there are many task scenarios that require active engagement and analysis of video content as a means to an end, such as educational material for flipped classrooms and critical review of performance — in sports, performing arts, or other spatial domains. Interface design has focused on the former context in interface interaction controls, and common interaction tools are limited to basic player affordances such as play/pause, speed change, and scrubbing. These basic interactions, however, can be cumbersome for goal-directed tasks such as contextualized communication, information finding, or comparative analysis. More active, goal-directed use of online video requires better interface designs to support these kinds of task-based interaction.In this research, we investigate approaches that enable and support more active user interaction with online video. In order to conduct the investigation, we present an illustrative research probe that employs analytics on user engagement to facilitate interaction. For example, video segments that are re-played by many users may indicate an important concept to review in a flipped classroom video. To study this kind of interaction, we introduce metrics for measuring the degree of user engagement and an interface component for visualizing and interacting with user engagement data as a heatmap. To evaluate our research probe, we have conducted a series of user studyexperiments. The set of experiments studied the impacts on user interaction of making engagement data available across multiple levels: individual user, small groups, and large groups such as a general population. The results of the studies show that the heatmap interaction approach can provide better support for active interactions with online videos such as information finding, content understanding, and comparative analysis. More specifically in the online learning context, our research prototype supports viewers to find information more effectively and also helps them feel more confident in their learning. For the group of class instructors, the study shows that our research prototype can better support the development and refinement of teaching methods and improve course video content.

Details
Author

Xia, Jinyue

Title

INTERACTION SUPPORT FOR INFORMATION FINDING AND COMPARATIVE ANALYSIS IN ONLINE VIDEO

Physical Description

1 online resource (161 pages) : PDF

Date

2017

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

Current online video interaction is typically designed with a focus on straightforward distribution and passive consumption of individual videos. This "click play, sit back and watch" context is typical of videos for entertainment. However, there are many task scenarios that require active engagement and analysis of video content as a means to an end, such as educational material for flipped classrooms and critical review of performance — in sports, performing arts, or other spatial domains. Interface design has focused on the former context in interface interaction controls, and common interaction tools are limited to basic player affordances such as play/pause, speed change, and scrubbing. These basic interactions, however, can be cumbersome for goal-directed tasks such as contextualized communication, information finding, or comparative analysis. More active, goal-directed use of online video requires better interface designs to support these kinds of task-based interaction.In this research, we investigate approaches that enable and support more active user interaction with online video. In order to conduct the investigation, we present an illustrative research probe that employs analytics on user engagement to facilitate interaction. For example, video segments that are re-played by many users may indicate an important concept to review in a flipped classroom video. To study this kind of interaction, we introduce metrics for measuring the degree of user engagement and an interface component for visualizing and interacting with user engagement data as a heatmap. To evaluate our research probe, we have conducted a series of user studyexperiments. The set of experiments studied the impacts on user interaction of making engagement data available across multiple levels: individual user, small groups, and large groups such as a general population. The results of the studies show that the heatmap interaction approach can provide better support for active interactions with online videos such as information finding, content understanding, and comparative analysis. More specifically in the online learning context, our research prototype supports viewers to find information more effectively and also helps them feel more confident in their learning. For the group of class instructors, the study shows that our research prototype can better support the development and refinement of teaching methods and improve course video content.

Genre

doctoral dissertations

Subjects--Topics

Information technology

Degree

Ph.D.

Subject Area

Information Technology

Advisor(s)

Wilson, David

Committee Members

Maher, Mary Lou
Latulipe, Celine
Shehab, Mohamed
Huskey, Sybil

Degree Note

Thesis (Ph.D.)--University of North Carolina at Charlotte, 2017.

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Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Xia_uncc_0694D_11350

Permalink

http://hdl.handle.net/20.500.13093/etd:1382