Conference proceeding
An indoor study to evaluate a mixed-reality interface for unmanned aerial vehicle operations in near earth environments
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop, pp 214-221
28 Sep 2010
Abstract
As the appeal and proliferation of UAVs increase, they are beginning to encounter environments and scenarios for which they were not initially designed. As such, changes to the way UAVs are operated, specifically the operator interface, are being developed to address the newly emerging challenges. Efforts to increase pilot situational awareness led to the development of a mixed reality chase view piloting interface. Chase view is similar to a view of being towed behind the aircraft. It combines real world onboard camera images with a virtual representation of the vehicle and the surrounding operating environment. A series of UAV piloting experiments were performed using a flight simulation package, UAV sensor suite, and an indoor, six degree of freedom, robotic gantry. Subjects' behavioral performance while using an onboard camera view and a mixed reality chase view interface during missions was analyzed. Subjects' cognitive workload during missions was also assessed using subjective measures such as NASA task load index and non-subjective brain activity measurements using a functional Infrared Spectroscopy (fNIR) system. Behavioral analysis showed that the chase view interface improved pilot performance in near Earth flights and increased their situational awareness. fNIR analysis showed that a subjects cognitive workload was significantly less while using the chase view interface.
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2 citations in Scopus
Details
- Title
- An indoor study to evaluate a mixed-reality interface for unmanned aerial vehicle operations in near earth environments
- Creators
- James Hing - Drexel UniversityJustin Menda - Drexel UniversityKurtulus Izzetoglu - Drexel UniversityPaul Oh - Drexel University
- Publication Details
- Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop, pp 214-221
- Conference
- 10th Performance Metrics for Intelligent Systems Workshop, 10th
- Series
- PerMIS '10
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Scopus ID
- 2-s2.0-84871400066
- Other Identifier
- 991019173700004721