Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

5-2016

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.

Keywords

Annotation systems, Augmented reality, Head-mounted displays, Mobile video conferencing, Remote assistance

Discipline

Information Security

Research Areas

Information Systems and Management

Publication

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, United States, May 7-12

First Page

1548

Last Page

1560

ISBN

9781450333627

Identifier

10.1145/2858036.2858171

Publisher

Association for Computing Machinery

City or Country

New York

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1145/2858036.2858171

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