Improving Video Navigation for Spatial Task Tutorials by Spatially Segmenting and Situating How-To Videos

How-to videos are widely used for accessing instructional content. Many of the tasks covered in these videos are spatial, requiring movement between locations within a physical space to complete different parts of the activity. Conventional linear video interfaces, which often only allow time-based navigational techniques, like scrubbing, prove inefficient and cumbersome for such tasks. To address this, we investigate an approach for video browsing and navigation optimized for how-to videos involving spatial tasks by chaptering videos based on where tasks occur by using augmented reality to anchor these video segments to their physical locations via virtual signposts. Through two studies, we demonstrate that our approach outperforms standard and chaptered video interfaces in speed and ease. Our work contributes empirical evidence that spatially segmenting and situating tutorials is a promising strategy for improving video navigation.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1145/3677386.3682103
Citations
2
Primary Topic
Spatial Cognition and Navigation
Type
article
Field-Weighted Citation Impact
0.41
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article

Improving Video Navigation for Spatial Task Tutorials by Spatially Segmenting and Situating How-To Videos

Book Sadprasid, Scott Bateman, Carl Gutwin
2 citations
Spatial Cognition and Navigation
0.41
article

Improving Video Navigation for Spatial Task Tutorials by Spatially Segmenting and Situating How-To Videos

Book Sadprasid, Scott Bateman, Carl Gutwin
article en
2 citations

Abstract

How-to videos are widely used for accessing instructional content. Many of the tasks covered in these videos are spatial, requiring movement between locations within a physical space to complete different parts of the activity. Conventional linear video interfaces, which often only allow time-based navigational techniques, like scrubbing, prove inefficient and cumbersome for such tasks. To address this, we investigate an approach for video browsing and navigation optimized for how-to videos involving spatial tasks by chaptering videos based on where tasks occur by using augmented reality to anchor these video segments to their physical locations via virtual signposts. Through two studies, we demonstrate that our approach outperforms standard and chaptered video interfaces in speed and ease. Our work contributes empirical evidence that spatially segmenting and situating tutorials is a promising strategy for improving video navigation.

University of New Brunswick (CA), University of Toronto (CA), University of Saskatchewan (CA)
Openalex Percentile: Top 40%
Spatial Cognition and Navigation
0.41
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Improving Video Navigation for Spatial Task Tutorials by Spatially Segmenting and Situating How-To Videos — Book Sadprasid, Scott Bateman, et al. · (2024) | TGRS Research Map | TGRS