Using semantic knowledge and heuristics to support
at ORAU/ORISE DoD Programs

Date Posted: 12/6/2018

Opportunity Description

Title of Research Opportunity: Using semantic knowledge and heuristics to support decision making in complex environments Perception in the real world is a dynamic and complex process, Soldiers and civilians alike must continuously evaluate risk and make decisions in the face of uncertainty. Traditional experimental approaches have examined bottom-up and top-down influences on decision making as a hierarchical process. This project aims to evaluate the influence of bottom-up and top-down information at various points in the perception-action feedback cycle to gain a more holistic and accurate representation of the type of information that guides behavior in real time in everyday urban environments. This project has three phases: (1) Traditional lab-based experimentation using audio-visual priming, search, and identification tasks. (2) audio-visual scene capture and classification using image and spectral processing to characterize the physical signal in conjunction with human subjects rating data using well-established scene classification methods. (3) creation of dynamic stimulus arrays to re-examine performance, previously tested using static arrays, under dynamic conditions. The project is currently in late phase 1, the student researcher appointed would participate primarily on phase 2 tasks. Phase 2 involves an engineering and a human science component. On the engineering side: critical examination of available audio-visual hardware, development of a test plan for systematically capturing scenes from an urban environment, and working with the mentoring team to develop image and sound analysis strategies. On the human science side: collaborate with the mentoring team to develop an experimental protocol to examine the relationship between physical, perceptual, and semantic features. This task involves development of experimental testing and IRB materials, planning and execution of MDS, time series, descriptive and inferential (ANOVA, Regression) analysis, and aiding in the presentation and publication of preliminary results. Both the engineering and the human sciences researcher will be expected to do research in the field collecting data from environment in the DC and Baltimore metro area, in addition to working directly with research participants (as needed) in the laboratory at APG. Keywords: Multisensory perception, Real world scenes, Auditory and visual scene analysis, Heuristics, Decision making.

Opportunity Snapshot

  • Employee Type: Full-Time
  • Location: Annapolis, MD
  • Opportunity Type: Other
  • Experience: Not Specified
  • Date Posted: 12/6/2018

About Us

Oak Ridge Associated Universities (ORAU) administers Science, Technology, Engineering and Mathematics (STEM) research participation programs for civilians such as:

The Oak Ridge Institute for Science and Education (ORISE) Program that allow senior scientists, faculty; high school, bachelor’s, masters’ and doctoral students, and recent graduates to enhance their science education experience in projects and activities at our Department of Defense (DOD) and other Government and Private Industry customers’ laboratories and research facilities worldwide.

The U.S. Army Research Laboratory (ARL) Research Associateship Program (RAP) allow Postdoctoral Fellows, Journeyman Fellows (undergraduate and graduates students and recent graduates), Senior Researchers, and Summer Faculty engage in research initiatives of their own choice, that are compatible with the interests of the government and will potentially contribute to the general effort of the ARL. Scientists and engineers at ARL help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs.

Research opportunities include, but are not limited to the following disciplines: Aerospace Engineering, Anthropology, Archeology, Biology, Biochemistry, Biological Engineering, Biomechanical Engineering, Biomedical Engineering, Chemical Engineering, Chemistry, Computer Science, Computer Engineering, Electrical Engineering, Environmental Health Risk Assessment, Environmental Science, Entomology, Epidemiology, Ergonomics, Geology, Health Education Mechanical Engineering, Materials Science, Mathematics, Nanotechnology, Photonics, Physics, Public Health Economics, Public Health Policy, and more.

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