Name
Abstract | ||
|---|---|---|
Recent mobile technology has provided new opportunities for creating remote assistance systems. However, mobile support systems present a particular challenge: both the camera and display are held by the user, leading to shaky video. When pointing or drawing annotations, this means that the desired target often moves, causing the gesture to lose its intended meaning. To address this problem, we investigate annotation stabilization techniques, which allow annotations to stick to their intended location. We studied two annotation systems, using three different forms of annotations, with both tablets and head-mounted displays. Our analysis suggests that stabilized annotations and head-mounted displays are only beneficial in certain situations. However, the simplest approach of automatically freezing video while drawing annotations was surprisingly effective in facilitating the completion of remote assistance tasks.
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Year | DOI | Venue |
|---|---|---|
2016 | 10.1145/2858036.2858171 | CHI |
Keywords | Field | DocType |
Mobile video conferencing, annotation systems, augmented reality, head-mounted displays, remote assistance | Mobile technology,Annotation,Remote assistance,Support system,Gesture,Computer science,Augmented reality,Human–computer interaction,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-3362-7 | 17 | 0.64 |
References | Authors | |
30 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omid Fakourfar | 1 | 17 | 0.64 |
| Kevin Ta | 2 | 19 | 2.03 |
| Richard Tang | 3 | 42 | 2.88 |
| Scott Bateman | 4 | 621 | 41.58 |
| Anthony Tang | 5 | 299 | 20.48 |