Skip directly to content

Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK, THE
Doing Business As Name:Columbia University
PD/PI:
  • Dan Rubenstein
  • (212) 854-0050
  • danr@cs.columbia.edu
Co-PD(s)/co-PI(s):
  • charles r jennings
  • Paul Sajda
  • Kevin Ochsner
Award Date:09/16/2019
Estimated Total Award Amount: $ 800,000
Funds Obligated to Date: $ 800,000
  • FY 2019=$800,000
Start Date:10/01/2019
End Date:09/30/2021
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.083
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:GCR: Emotionally Responsive Computation and Communication
Federal Award ID Number:1934968
DUNS ID:049179401
Parent DUNS ID:049179401
Program:GCR-Growing Convergence Resear
Program Officer:
  • Dragana Brzakovic
  • (703) 292-8040
  • dbrzakov@nsf.gov

Awardee Location

Street:2960 Broadway
City:NEW YORK
State:NY
ZIP:10027-6902
County:New York
Country:US
Awardee Cong. District:10

Primary Place of Performance

Organization Name:Columbia University
Street:2960 Broadway
City:New York
State:NY
ZIP:10027-6902
County:New York
Country:US
Cong. District:10

Abstract at Time of Award

The objective of this Growing Convergence Research project is to develop emotionally-responsive computing systems that can detect human emotions and automatically deploy resources or prioritize services to meet human needs in disaster or crises situations. This research is motivated by the need to more rapidly assess the massive data flows that occur during crisis events to better respond to the situations. Through the convergence of computer and computational sciences, neurotechnology, and psychological sciences, this project will develop technologies that can monitor humans' emotions and process the emotional states to strategically deploy resources to address human needs. Emotionally-responsive computing systems could be used by 911 call-centers to prioritize calls or by first-responders responding to a public threat. This exploratory research will a) develop and validate computational assessments of human behavior in controlled virtual reality simulation, b) develop an integrated physiological measurement package targeting electrodermal activity, heart rate, electroencephalography, and pupillometry, and c) assess whether systems that adapt to emotional states must be trained toward the individual or group types. Key research questions focus on understanding the timescale at which emotions can and should be sensed in reaction to situational changes and the diversity of human emotional responses and group dynamics. 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.

For specific questions or comments about this information including the NSF Project Outcomes Report, contact us.