Multi-faceted Index driven Navigation for Educational Videos in Mobile Phones

Abhishek Kumar, Kushal Srivastava, Kuldeep Yadav, Om Deshmukh
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引用次数: 3

Abstract

One of the challenges that is holding back wide spread consumption of educational videos on mobile devices is the lack of mobile interfaces which can provide efficient video navigation capabilities. In this paper, we utilize multi-modal data analysis techniques which include analysis of the spoken content and the written content of the video, to create a multi-faceted index. We present a novel and first-of-its-kind mobile interface which uses aforementioned multi-faceted index to provide intuitive, usable, and efficient way to navigate through a video. The efficacy of the proposed multi-faceted index driven mobile interface for non-linear navigation is demonstrated through a preliminary user study of 15 participants. We demonstrate that the proposed interface leads to statistically significant savings in navigation time as compared to that of a baseline interface used by leading e-learning providers.
多面索引驱动的手机教育视频导航
阻碍教育视频在移动设备上广泛传播的挑战之一是缺乏能够提供高效视频导航功能的移动界面。在本文中,我们利用多模态数据分析技术,包括对视频的口头内容和书面内容的分析,来创建一个多方面的索引。我们提出了一种新颖的、首创的移动界面,它使用前面提到的多面索引来提供直观、可用和有效的方式来浏览视频。通过对15名参与者的初步用户研究,证明了所提出的多面索引驱动的非线性导航移动界面的有效性。我们证明,与领先的电子学习提供商使用的基线接口相比,所建议的接口在统计上显著节省了导航时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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