Stabilized annotations for mobile remote assistance

• Main Authors: FAKOURFAR, Omid, TA, Kevin, TANG, Richard, BATEMAN, Scott, TANG, Anthony
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Annotation systems; Augmented reality; Head-mounted displays; Mobile video conferencing; Remote assistance; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7894; https://ink.library.smu.edu.sg/context/sis_research/article/8897/viewcontent/2858036.2858171.pdf
• Institution: Singapore Management University

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.