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Research Spending & Results

Award Detail

Awardee:UNIVERSITY OF NEW MEXICO
Doing Business As Name:University of New Mexico
PD/PI:
  • Meeko Oishi
  • (505) 277-0299
  • oishi@unm.edu
Co-PD(s)/co-PI(s):
  • Tryphenia Peele-Eady
  • Sriram Sankaranarayanan
  • Ufuk Topcu
Award Date:09/16/2019
Estimated Total Award Amount: $ 3,254,834
Funds Obligated to Date: $ 1,212,667
  • FY 2019=$1,212,667
Start Date:10/01/2019
End Date:09/30/2024
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.070
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CPS: Frontier: Collaborative Research: Cognitive Autonomy for Human CPS: Turning Novices into Experts
Federal Award ID Number:1836900
DUNS ID:868853094
Parent DUNS ID:784121725
Program:CPS-Cyber-Physical Systems
Program Officer:
  • Sylvia Spengler
  • (703) 292-8930
  • sspengle@nsf.gov

Awardee Location

Street:1700 Lomas Blvd. NE, Suite 2200
City:Albuquerque
State:NM
ZIP:87131-0001
County:Albuquerque
Country:US
Awardee Cong. District:01

Primary Place of Performance

Organization Name:University of New Mexico
Street:
City:
State:NM
ZIP:87131-0001
County:Albuquerque
Country:US
Cong. District:01

Abstract at Time of Award

Human interaction with autonomous cyber-physical systems is becoming ubiquitous in consumer products, transportation systems, manufacturing, and many other domains. This project seeks constructive methods to answer the question: How can we design cyber-physical systems to be responsive and personalized, yet also provide high-confidence assurances of reliability? Cyber-physical systems that adapt to the human, and account for the human's ongoing adaptation to the system, could have enormous impact in everyday life as well as in specialized domains (biomedical devices and systems, transportation systems, manufacturing, military applications), by significantly reducing training time, increasing the breadth of the human's experiences with the system prior to operation in a safety-critical environment, improving safety, and improving both human and system performance. Architectures that support dynamic interactions, enabled by advances in computation, communication, and control, can leverage strengths of the human and the automation to achieve new levels of performance and safety. This research investigates a human-centric architecture for "cognitive autonomy" that couples human psychophysiological and behavioral measures with objective measures of performance. The architecture has four elements: 1) a computable cognitive model which is amenable to control, yet highly customizable, responsive to the human, and context dependent; 2) a predictive monitor, which provides a priori probabilistic verification as well as real-time short-term predictions to anticipate problematic behaviors and trigger the appropriate action; 3) cognitive control, which collaboratively assures both desired safety properties and human performance metrics; and 4) transparent communication, which helps maintain trust and situational awareness through explanatory reasoning. The education and outreach plan focuses on broadening participation of underrepresented minorities through a culturally responsive undergraduate summer research program, which will also provide insights about learning environments that support participation and retention. All research and educational material generated by the project are being made available to the public through the project webpage. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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