332
Views
8
CrossRef citations to date
0
Altmetric
Original Article

Unmanned Aircraft Systems Selection Practices: Current Research and Future Directions

, &
Pages 413-427 | Published online: 13 Dec 2017

References

  • Arnold, R. D., & Guest, M. A. (2011, May). Identification of multi-UAS operator and crew skill and ability requirements. Poster presented at the 2011 Annual Meeting of the Aerospace Medical Association, Anchorage, AK.
  • Barnes, M. J., Knapp, B. G., Tillman, B. W., Walters, B. A., & Velicki, D. (2000). Crew systems analysis of unmanned aerial vehicle (UAV) future job and tasking environments ( ARL-TR-2081) Aberdeen Proving Ground, MDArmy Research Laboratory
  • Biggerstaff, S., Blower, D. J., Portman, C. A., & Chapman, A. D. (1998). The development and initial validation of the unmanned aerial vehicle (UAV) external pilot selection system ( NAMRL Report No. 1398). Pensacola, FL: Naval Aerospace Medical Research Laboratory.
  • Borman, W. C., Kubisiak, U. C., & Schneider, R. J. (1999). Work styles. In N. G. Peterson, M. D. Mumford, W. C. Borman, P. R. Jeanneret, & E. A. Fleishman (Eds.), An occupational information system for the 21st century: The development of O*NET (pp. 213–226). Washington, DC: American Psychological Association. doi:10.1037/10313-012
  • Bruskiewicz, K. T., Houston, J. S., Hezlett, S. A., & Ferstl, K. L. (2007). Development of a selection instrument for unmanned aerial system (UAS) operations ( Tech. Rep. No. 580). Minneapolis, MN: Personnel Decisions Research Institute.
  • Carretta, T. R. (2005). Development and validation of the Test of Basic Aviation Skills ( TBAS; AFRL-HE-WP-TR-2005–0172). Wright-Patterson AFB, OH: Air Force Research Laboratory, Human Effectiveness Directorate, Warfighter Interface Division.
  • Carretta, T. R. (2011). Pilot Candidate Selection Method: Still an effective predictor of US Air Force pilot training performance. Aviation Psychology and Applied Human Factors, 1, 3–8. doi:10.1027/2192-0923/a00002
  • Carretta, T. R. (2013). Predictive validity of pilot selection instruments for remotely piloted aircraft training outcome. Aviation, Space, and Environmental Medicine, 84, 47–53. doi:10.3357/ASEM.3441.2013
  • Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. New York, NY: Cambridge University Press. doi:10.1017/CBO9780511571312
  • Chappelle, W., McDonald, K., Heaton, J. N., Thompson, W., & Haynes, J. (2012, May). Neuropsychological and personality attributes distinguishing high vs. low training performance of MQ-1B Pilot trainees. Paper presented at the Aerospace Medicine Association Annual Conference, Atlanta, GA.
  • Chappelle, W., McDonald, K., & King, R. E. (2010). Psychological attributes critical to the performance of MQ-1 and MQ-9 Reaper U.S. Air Force sensor operators ( AFRL-SA-BR-TR-2010–0007). Brooks City-Base, TX: Air Force Research Laboratory, 711th Human Performance Wing, School of Aerospace Medicine.
  • Chappelle, W., McDonald, K., & McMillan, K. (2011). Important and critical psychological attributes of USAF MQ-1 Predator and MQ-9 Reaper pilots according to subject matter experts ( AFRL-SA-WP-TR-2011–0002). Wright-Patterson AFB, OH: Air Force Research Laboratory, 711th Human Performance Wing, School of Aerospace Medicine.
  • Christal, R. E. (1994). R&D summary report on contract F33615-91-D-0010. Unpublished final status report for Delivery Order 0010 for the period Feb 93 to Nov 94. Brooks AFB, TX: Manpower and Personnel Division, Air Force Human Resources Laboratory.
  • Costa, P. T., Jr., & McCrae, R. R. (1992). NEO PI-R professional manual. Odessa, FL: Psychological Assessment Resources.
  • Costanza, D. P., Fleishman, E. A., & Marshall-Mies, J. (1999). Knowledges. In N. G. Peterson, M. D. Mumford, W. C. Borman, P. R. Jeanneret, & E. A. Fleishman (Eds.), An occupational information system for the 21st century: The development of O*NET (pp. 71–90). Washington, DC: American Psychological Association. doi:10.1037/10313-005
  • Crumley, L. M., & Bailey, J. P. (1979). Summary of the results of structured interviews of remotely piloted vehicle system operators ( Working Paper No. FSFU 79–1). Fort Sill, OK: U.S. Army Research Institute for the Behavioral and Social Sciences Fort Sill Field Unit.
  • Damos, D. (2011). KSAOs for military pilot selection: A review of the literature ( AFCAPS-FR-2011–0003). Randolph AFB, TX: HQ AFPC/DSYX Strategic Research and Assessment Branch.
  • Dillingham, G. L. (2012). Unmanned aircraft systems: Use in the national airspace system and the role of the Department of Homeland Security (GAO-12-889T). Washington, DC: Government Accountability Office.
  • Drasgow, F., Nye, C. D., Carretta, T. R., & Ree, M. J. (2010). Factor structure of the Air Force Officer Qualifying Test Form S: Analysis and comparison with previous forms. Military Psychology, 22, 68–85. doi:10.1080/08995600903249255
  • FAA Modernization and Reform Act, 49 U.S.C. §§. 331–336 (2012).
  • Fleishman, E. A., Costanza, D. P., & Marshall-Mies, J. (1999). Abilities. In N. G. Peterson, M. D. Mumford, W. C. Borman, P. R. Jeanneret, & E. A. Fleishman (Eds.), An occupational information system for the 21st century: The development of O*NET (pp. 175–195). Washington, DC: American Psychological Association. doi:10.1037/10313-010
  • Fleishman, E. A., & Quaintance, M. K. (1984). Taxonomies of human performance: The description of human tasks. Orlando, FL: Academic Press.
  • Foster, C., Phillips, H. L., & Arnold, R. (2011). UAS operator selection: A case for change. Call Signs, 2, 5–8.
  • General Atomics Aeronautical. (2012). Predator B demonstrates automatic takeoff and landing capability: Capability significantly reduces land incidents and operator training costs [ Press release]. Retrieved from http://www.ga-asi.com/news_events/index.php?read=1&id=400
  • Gertler, J. (2012). U.S. unmanned aerial systems ( Report No. R42136). Washington, DC: Congressional Research Service.
  • Heffner, T. S., White, L., & Owens, K. S. (2010). Tier one performance screen ( JO-04). Paper presented at 27th Army Science Conference, Orlando, FL.
  • Hopson, J. (1995). Pilot study for selection of external pilots for unmanned aerial vehicle flight training. Unpublished manuscript.
  • Houston, J. S., & Bruskiewicz, K. T. (2006). Development and preliminary validation of a selection instrument for U.S. Army Flight Training (SIFT): Vol. 1 (TR 523). Minneapolis, MN: Personnel Decisions Research Institutes.
  • Howse, W. R. (2011). Knowledge, skills, abilities, and other characteristics for remotely piloted aircraft pilots and operators ( AFCAPS-FR-2011–0006). Randolph AFB, TX: HQ AFPC/DSYX Strategic Research and Assessment Branch.
  • HQ AFPC/DPSIDC. (2011a, October). Air Force officer classification directory (AFOCD): The official guide to the Air Force officer classification codes. Randolph AFB, TX: Author.
  • HQ AFPC/DPSIDC. (2011b, October). Air Force enlisted classification directory (AFECD): The official guide to the Air Force enlisted classification codes. Randolph AFB, TX: Author.
  • Kalita, S. W., & Duma, K. M. (2008a). U.S. Air force unmanned aircraft systems performance analysis: Predator pilot multiple aircraft control front end analysis (FEA) report. Wright-Patterson AFB, OH: SURVIAC.
  • Kalita, S. W., & Duma, K. M. (2008b). U.S. Air force unmanned aircraft systems performance analysis: Predator sensor operator multiple aircraft control (MAC) front end analysis (FEA) report. Wright-Patterson AFN, OH: SURVIAC.
  • Mangos, P. M., Vincenzi, D. A., Shrader, D. M., Williams, H. P., & Arnold, R. D. (2012). Analysis of cross-platform Naval unmanned aircraft system task and competency requirements. Patuxent River, MD: Naval Air Systems Command.
  • Manley, G. G. (2011). Development of domain and facet level scales for the Self-Description Inventory ( AFCAPS-TR-2011–0007). Randolph AFB, TX: HQ AFPC/DSYX Strategic Research and Assessment Branch.
  • Mumford, M. D., Peterson, N. G., & Childs, R. A. (1999). Basic and cross-functional skills. In N. G. Peterson, M. D. Mumford, W. C. Borman, P. R. Jeanneret, & E. A. Fleishman (Eds.), An occupational information system for the 21st century: The development of O*NET (pp. 49–69). Washington DC: American Psychological Association. doi:10.1037/10313-004
  • Nagy, J. E., Eaton, G., & Muse, K. (2006). U.S. Air Force unmanned aircraft systems performance analysis: Predator sensor operator front end analysis (FEA) report. Wright-Patterson AFB, OH: SURVIAC.
  • Nagy, J. E., Kalita, S. W., & Eaton, G. (2006). U.S. Air Force unmanned aircraft systems performance analysis: Predator pilot front end analysis (FEA) report. Wright-Patterson AFB, OH: SURVIAC.
  • Office of Naval Research. (2011). Broad agency announcement: Autonomous aerial cargo utility system (AACUS) innovative naval prototype ( INP; 12–004). Arlington, VA: Office of Naval Research.
  • Paullin, C., Ingerick, M., Trippe, D. M., & Wasko, L. (2011). Identifying best bet entry-level selection measures for US Air Force remotely piloted aircraft (RPA) and sensor operator occupations ( FR-11–64). Randolph AFB, TX: HQ AFPC/DSYX Strategic Research and Assessment Branch.
  • Peterson, N. G., Mumford, M. D., Borman, W. C., Jeanneret, P. R., & Fleishman, E. A. (Eds.). (1999). An occupational information system for the 21st Century: The development of O*NET. Washington, DC: American Psychological Association. doi:10.1037/10313-000
  • Phillips, H. L., Arnold, R. D., & Fatolitis, P. (2003). Validation of an unmanned aerial vehicle operator selection system. 45th Annual Conference of the International Military Testing Association (pp. 129–139). Seoul, South Korea: International Military Testing Association.
  • Phillips, J. B., Chernyshenko, O. S., Stark, S., Drasgow, F., & Phillips, H. L. (2011). Development of scoring procedures for the Performance Based Measurement (PBM) test: Psychometric and criterion validity investigation ( NAMRU-D Report No. 12–10). Dayton, OH: Naval Medical Research Unit.
  • Powell, D., Kaplan, E., Whitla, D., Weintraub, S., Catlin, R., & Funkenstein, H. (2004). Microcog: Assessment of cognitive functioning Windows ed. San Antonio, TX: Pearson.
  • Stark, S., Chernyshenko, O. S., & Drasgow, F. (2010). Tailored Adaptive Personality Assessment System (TAPAS-95s). In D. J. Knapp & T. S. Heffner (Eds.), Expanded Enlistment Eligibility Metrics (EEEM): Recommendations on a non-cognitive screen for new soldier selection ( Tech. Rep. No. 1267) (pp. 15–22). Arlington, VA: U.S. Army Research Institute for the Behavioral and Social Sciences.
  • Sticha, P. J., Howse, W. R., Stewart, J. E., Conzelman, C. E., & Thibodeaux, C. (2012). Identifying critical manned-unmanned teaming skills for unmanned aircraft system operators ( ARI Research Report 1962). Fort Belvoir, VA: U.S. Army Research Institute for the Behavioral and Social Sciences.
  • Tirpak, J. A. (2010, July). Putting the pilot in the RPAs. Air Force Magazine, 9, 62–64. Retrieved from http://www.airforcemagazine.com/MagazineArchive/Pages/2010/July%202010/0710drones.aspx
  • Tupes, E. C., & Christal, R. E. (1961). Recurrent personality factors based on trait ratings ( ASD-TR-61–97). Lackland AFB, TX: Personnel Laboratory Aeronautical Systems Division Air Force Systems Command.
  • Tvaryanas, A. P. (2006). Unmanned aircraft system (UAS) skill sets. [ Briefing slides]. Randolph AFB, TX: HQ AFPC/DSYX Strategic Research and Assessment Branch.
  • U.S. Department of Defense. (2009). FY2009–2034 Unmanned systems integrated roadmap. Washington, DC: Department of Defense.
  • U.S. Department of Defense. (2011). Unmanned systems integrated roadmap FY2011–2036 ( Reference No. 11-S-3613). Washington, DC: Department of Defense.
  • Williams, H. P., Albert, A. O., & Blower, D. J. (1999, November). Selection of officers for U.S. Naval Aviation Training. Paper presented at the RTO HFM Workshop on Officer Selection, Monterey, CA.
  • Williams, K. W. (2007). Unmanned aircraft pilot medical certification requirements ( DOT/FAA/AM-07/3). Washington, DC: Office of Aerospace Medicine.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.