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Augmented Reality Effects in JAUS Subsystem Commander Teleoperation Interfaces Gregory Garcia Center for Intelligent Machines and Robotics Dept. of Mechanical and Aerospace Engineering University of Florida December 2008 Problem areas with AGV teleoperation interfaces: - Communication - High-overhead - Poorly Designed - Outdated technologies

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Center for Intelligent Machines and Robotics College of Engineering Existing Interface 2

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Center for Intelligent Machines and Robotics College of Engineering Functional Demonstration 3

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Center for Intelligent Machines and Robotics College of Engineering 4 User Study Conditions Apparatus: Quiet Room (2 days) Laptop Computer (15.4 inch 1280x800 display) Optical Mouse Experimental and control Interfaces Study Protocol: 5 minute tutorial and Q/A (2x) Interface Evaluation(2x) Questionnaire Metrics: Quantitative Error Rate Decision making time Qualitative Situational Awareness Interaction Style Eye Gaze Ease of use User Confidence Strengths/ Weaknesses Random testing order

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Center for Intelligent Machines and Robotics College of Engineering 5 Results and Analysis H o : OER standard OER video H a : OER standard > OER video p-value = , t = , t α = Fail to reject the Null Hypothesis 28% probability that pattern is due to chance One sided T-test for independent samples w/ unequal variances α =.05 Two sided T-test for independent samples w/ unequal variances α =.05 H 0 : DMT standard – DMT video = 0 H a : DMT standard – DMT video 0 p-value = , t = , t α/2 = Fail to reject the Null Hypothesis 22% probability that patter is due to chance

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Center for Intelligent Machines and Robotics College of Engineering 6 Results and Analysis (2) No Video TimeWith Video Time Other Observations Unanimously chose Video interface Highest marks for ease of learning Increased User Confidence Level Color scheme received favorably Rely heavily on video for initial big- picture, used sensor fusion for details

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Center for Intelligent Machines and Robotics College of Engineering Questions?

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