A cognitive classification of pilot performance in air combat

Author(s):  
M.R. Houck ◽  
L.A. Whitaker ◽  
R.R. Kendall
Keyword(s):  
Author(s):  
Jamie L. Estock ◽  
Amy L. Alexander ◽  
Emily M. Stelzer ◽  
Kathryn Baughman

The tremendous expense and inherent dangers of training in the aircraft have led to the increased use of simulators for practicing and maintaining air combat skills; However, the advantages and disadvantages of using high or low-fidelity simulators for such training must be specified. An experiment was conducted to examine the in-simulator performance differences between pilots flying lower-fidelity simulators compared to higher-fidelity simulators. The primary difference between the two simulators is the visual scene field-of-view. Sixteen U.S. Air Force F-16 pilots flew standard training missions as an integrated team of four (a “four-ship”) with two pilots flying in the high-fidelity simulators and two pilots flying in the lower-fidelity simulators. Various subjective and objective measures were collected to assess the pilots' ability to maintain a briefed formation. Overall, the results suggest that pilots who practice four-ship employment in the lower-fidelity simulators can perform at the same level as those who practice in the high-fidelity simulators. Future analyses should be conducted to examine the impact of simulator fidelity on other air combat skills and on training effectiveness.


Author(s):  
Lawrence J. Hettinger ◽  
W. Todd Nelson ◽  
Michael W. Haas

The use of multi-sensory displays for fighter aircraft cockpits is being investigated at the U.S. Air Force's Armstrong Laboratory as a means of enhancing pilot performance. The current experiment was conducted to evaluate the effect of employing such displays on the performance of a simulated air combat task. Each of four experienced US Air Force F-16 pilots flew 12 simulated missions which required them to locate and destroy four enemy bombers whose flight path was pre-programmed. Simultaneously, two other pilots were assigned to auxiliary cockpits in the laboratory and flew enemy fighter aircraft in an attempt to intercept and shoot down the primary pilot. Therefore there were three active participants in each air combat scenario. Each pilot flew six trials using a cockpit comprised of conventional F-15 flight instruments and six trials using a modified, multi-sensory cockpit. The results indicated that pilot performance and situation awareness were generally superior with the multi-sensory cockpit as opposed to the conventional cockpit, although statistical differences between the two were at best marginally significant. Nevertheless, the results suggest that if pilots were to receive advance training with the multi-sensory cockpit their performance may exceed that in the highly overlearned conventional cockpit by even more substantial amounts.


1992 ◽  
Vol 36 (17) ◽  
pp. 1331-1334
Author(s):  
Gary S. Thomas ◽  
Richard W. Obermayer ◽  
William B. Raspotnik ◽  
Wayne L. Waag

The purpose of this effort was to model expert pilot performance and decision making in one-versus-one (1v1) air-to-air combat. Several knowledge-elicitation techniques were used to extract air combat expertise from a former fighter pilot, who served as the subject-matter-expert (SME). Unstructured and then structured interviews were used to elicit the goals and sub-goals of air-to-air combat, plus some of the pilot behaviors necessary to accomplish the goals. The SME also flew a number of combat sorties against another former fighter pilot in the Simulator for Air-to-Air Combat (SAAC) to demonstrate pilot performance required to accomplish the goals of air combat. Based on the SME's verbal protocols, a group of air combat rules were developed. A rule-based production system was then designed to incorporate the resulting knowledge base. The production system was also designed to be capable of analyzing an existing data base of air combat engagements. Expert system development required additional input from the SME to identify specific values of flight parameters required by the production system. Upon completion and SME verification of the expert model, it will be validated by comparing its performance to that of our SME in simulated air-to-air combat. If the model can successfully describe expert pilot performance, the model will be used to provide diagnostic performance feedback in conjunction with SAAC training.


1979 ◽  
Vol 23 (1) ◽  
pp. 324-328 ◽  
Author(s):  
Michael J. Kelly ◽  
A. Lee Wooldridge ◽  
Robert T. Hennessy ◽  
John C. Reed

Due to the complex, dynamic and fast-moving nature of the air combat task, performance assessment during air-to-air combat provides many unique measurement problems. A combined analytical and empirical technical approach was used to develop a candidate measurement structure and algorithm for the measurement of pilot performance during one-versus-one air combat maneuvering. Nearly all of 28 candidate measures were found to discriminate between high and low skilled pilots during free engagements on the Simulator for Air-to-Air Combat. Discriminant analyses provided a measurement algorithm consisting of 13 measures which accounted for 51% of the variance in the performance data and which predicted membership in high or low skill groups with 92% accuracy.


1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.


Author(s):  
Gerald Fine ◽  
Azorides R. Morales

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)


Author(s):  
Irving Dardick

With the extensive industrial use of asbestos in this century and the long latent period (20-50 years) between exposure and tumor presentation, the incidence of malignant mesothelioma is now increasing. Thus, surgical pathologists are more frequently faced with the dilemma of differentiating mesothelioma from metastatic adenocarcinoma and spindle-cell sarcoma involving serosal surfaces. Electron microscopy is amodality useful in clarifying this problem.In utilizing ultrastructural features in the diagnosis of mesothelioma, it is essential to appreciate that the classification of this tumor reflects a variety of morphologic forms of differing biologic behavior (Table 1). Furthermore, with the variable histology and degree of differentiation in mesotheliomas it might be expected that the ultrastructure of such tumors also reflects a range of cytological features. Such is the case.


Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).


Author(s):  
Jacob S. Hanker ◽  
Dale N. Holdren ◽  
Kenneth L. Cohen ◽  
Beverly L. Giammara

Keratitis and conjunctivitis (infections of the cornea or conjunctiva) are ocular infections caused by various bacteria, fungi, viruses or parasites; bacteria, however, are usually prominent. Systemic conditions such as alcoholism, diabetes, debilitating disease, AIDS and immunosuppressive therapy can lead to increased susceptibility but trauma and contact lens use are very important factors. Gram-negative bacteria are most frequently cultured in these situations and Pseudomonas aeruginosa is most usually isolated from culture-positive ulcers of patients using contact lenses. Smears for staining can be obtained with a special swab or spatula and Gram staining frequently guides choice of a therapeutic rinse prior to the report of the culture results upon which specific antibiotic therapy is based. In some cases staining of the direct smear may be diagnostic in situations where the culture will not grow. In these cases different types of stains occasionally assist in guiding therapy.


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