30 May 1996 Voice and aided hand trackers to designate targets in 3D space
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Abstract
The purpose of this research was to examine the utility of several forms of target selection controllers in various air-to-air engagement scenarios for 3-D stereoscopic tactical situation displays. The target selection controller interfaces included: (1) ultra-sonic hand tracker with a proximity cursor aiding algorithm (proximity aiding consisted of an algorithm that selected the target closest to the cursor), 2) ultra-sonic hand tracker with a contact cursor aiding algorithm (contact aiding consisted of an algorithm which only selected the target that graphically 'touched' the cursor), and (3) voice recognition system (VRS). The air-to-air engagement target scenarios ratios encompassed: (1) a target ratio in which there was one enemy aircraft for every three noise targets (1 v 3), (2) a ratio in which there was one enemy for every two noise targets (1 v 2), and (3) a ratio in which there were three enemy targets for every one noise target (3 v 1). The performance of these controllers within the differing target environments was measured by (1) the amount of time required for the subjects to complete each task using the different controllers, and (2) the number of errors produced by the subjects in each condition with each controller type. Results show that voice recognition was the fastest and most accurate. Proximity aided hand tracker was second fastest but yielded the most errors. The more cluttered 1 v 3 ratio condition caused more errors than the other two target to noise ratio conditions.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Thomas J. Solz, John M. Reising, Timothy P. Barry, David C. Hartsock, "Voice and aided hand trackers to designate targets in 3D space", Proc. SPIE 2734, Cockpit Displays III, (30 May 1996); doi: 10.1117/12.240989; https://doi.org/10.1117/12.240989
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