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Project Information

CHS: MEDIUM: COLLABORATIVE RESEARCH: ACTIVITY RECOGNITION FOR REDUCING DELAYS IN FAST-RESPONSE TEAMWORK

Agency:
NSF

National Science Foundation

Project Number:
1763827
Contact PI / Project Leader:
MARSIC, IVAN
Awardee Organization:
RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK

Description

Abstract Text:
Human performance in time-critical teamwork settings relies on appropriate and timely task completion. Time perception, a critical cognitive function that influences team performance, is often skewed in these settings and is impacted by cognitive workload. This project will address timeliness errors by automatically and unobtrusively modeling and tracking cross-disciplinary task performance through analysis of verbal communication and the use of information artifacts. The resulting model will be used to display alerts about timeliness of critical tasks in a way that supports team members' information needs without increasing their cognitive workload. The benefits and costs of this approach will be evaluated in a simulation setting, measuring its impact on team performance and overall goal accomplishment, as well as its impact on workload and distraction. The application domain for this research is trauma resuscitation, the early evaluation and management of injured patients in the emergency department; the goal is for increased temporal awareness to improve both trauma team efficiency and patient outcomes, saving money and lives. Further, the project will provide opportunities for interdisciplinary education involving students from computer science and medicine. This project will develop techniques for monitoring the progress of teamwork and displaying alerts about timeliness of critical tasks. The key system components will include recognizing activities, modeling process deviations and delays, and displaying process information in a way that does not divert attention from the work. Novel techniques for activity recognition in fast-paced and crowded collaborative settings will be based on passive RFID, speech recognition, and computer vision, supplemented by other sensors and digital devices. The proposed research will develop (1) temporal models of verbal communication and digital document interaction during complex activities in fast-paced teamwork for the purpose of automatic activity recognition; (2) approaches for real-time recognition of over a hundred different activities in the presence of up to a thousand RFID tags; and (3) approaches for displaying delay information for rapid assimilation under high task load that learn from workers' responses to improve their usefulness to the team. Together, the work will provide building blocks for computerized support of teams not just in the trauma domain, but in other domains with complex, interleaved tasks such as surgery, traffic control, and disaster management.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.
Project Terms:
Accident and Emergency department; Address; Assimilations; Attention; Award; Awareness; base; Cognitive; cognitive function; Communication; Complex; computer science; Computer Vision Systems; computerized; Costs and Benefits; Crowding; Devices; digital; Disasters; distraction; Evaluation; Foundations; Goals; Human; improved; injured; Interdisciplinary Education; Learning; Measures; Medicine; member; Mission; Modeling; Monitor; Morphologic artifacts; Names; novel; Operative Surgical Procedures; Patient-Focused Outcomes; Patients; Performance; Process; Research; Research Activity; response; Resuscitation; Savings; sensor; simulation; speech recognition; Students; System; Task Performances; Techniques; Time; Time Perception; Trauma; Work; Workload

Details

Contact PI / Project Leader Information:
Name:  MARSIC, IVAN
Other PI Information:
Not Applicable
Awardee Organization:
Name:  RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK
City:  PISCATAWAY    
Country:  UNITED STATES
Congressional District:
State Code:  NJ
District:  06
Other Information:
Fiscal Year: 2018
Award Notice Date: 11-Sep-2018
DUNS Number: 001912864
Project Start Date: 01-Oct-2018
Budget Start Date:
CFDA Code: 47.070
Project End Date: 30-Sep-2022
Budget End Date:
Agency: ?

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National Science Foundation
Project Funding Information for 2018:
Year Agency

Agency: The entity responsible for the administering of a research grant, project, or contract. This may represent a federal department, agency, or sub-agency (institute or center). Details on agencies in Federal RePORTER can be found in the FAQ page.

FY Total Cost
2018 NSF

National Science Foundation

$700,000

Results

i

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