text-only page produced automatically by Usablenet Assistive Skip all navigation and go to page content Skip top navigation and go to directorate navigation Skip top navigation and go to page navigation
National Science Foundation
design element
Search Awards
Recent Awards
Presidential and Honorary Awards
About Awards
Grant Policy Manual
Grant General Conditions
Cooperative Agreement Conditions
Special Conditions
Federal Demonstration Partnership
Policy Office Website

Award Abstract #1333524

Integrated Individualized Modeling towards Cognitive Control of Human-Machine Systems

Div Of Civil, Mechanical, & Manufact Inn
divider line
Initial Amendment Date: August 21, 2013
divider line
Latest Amendment Date: August 21, 2013
divider line
Award Number: 1333524
divider line
Award Instrument: Standard Grant
divider line
Program Manager: Jordan Berg
CMMI Div Of Civil, Mechanical, & Manufact Inn
ENG Directorate For Engineering
divider line
Start Date: September 1, 2013
divider line
End Date: August 31, 2017 (Estimated)
divider line
Awarded Amount to Date: $235,000.00
divider line
Investigator(s): Yingzi (Lynn) Lin yi.lin@neu.edu (Principal Investigator)
divider line
Sponsor: Northeastern University
BOSTON, MA 02115-5005 (617)373-2508
divider line
divider line
Program Reference Code(s): 030E, 031E, 036E, 1057, 9102, CVIS
divider line
Program Element Code(s): 1632


The research objective of this project is to integrate human factors and control for modeling of collaborative human-machine systems. Specifically, in a driver-vehicle system, the driver's cognitive state and behavior may become significant factors to the overall system performance. This work is to study a driver assistance system (DAS) that integrates the driver's cognitive state and behavior, as well as the vehicle state and behavior, as inputs. Driver's cognitive state includes emotion, mental workload and attention. The approach has three main aspects: (1) investigate a method to model a driver's cognitive state and behavior while controlling a vehicle in a dynamic human-machine environment (HME); (2) incorporate the HME model into a DAS as a form of feedback control; (3) test and validate the above theories through the DAS simulation.

The research makes significant contributions to the areas of human state and behavior modeling, as well as cognitive control of human-machine systems. Driver assistance systems have a strong relevance to transportation safety, and one large deliverable from this research includes a reduction in automobile accidents. This DAS is a specific test bed for a more general Human Assistance System (HAS). The test bed results can be used to model a more generic HAS, which can then be applied to human-machine systems in a variety of domains such as medicine, manufacturing, and space applications. This work will provide experience to students and teachers by providing educational activities to support k-12 education. Graduate and undergraduate students will benefit through research integration with curriculums and senior design projects. This work expects to attract minorities and underrepresented groups, especially women. The work will also reach out towards professional societies and international collaboration for a wide dissemination of the research outcome.


Please report errors in award information by writing to: awardsearch@nsf.gov.



Print this page
Back to Top of page
Research.gov  |  USA.gov  |  National Science Board  |  Recovery Act  |  Budget and Performance  |  Annual Financial Report
Web Policies and Important Links  |  Privacy  |  FOIA  |  NO FEAR Act  |  Inspector General  |  Webmaster Contact  |  Site Map
National Science Foundation Logo
The National Science Foundation, 4201 Wilson Boulevard, Arlington, Virginia 22230, USA
Tel: (703) 292-5111, FIRS: (800) 877-8339 | TDD: (800) 281-8749
  Text Only Version