ClickCease United States Department of Commerce MatchAwards 'UNIVERSITY OF TEXAS AT DALLAS' - MatchAwards

UNIVERSITY OF TEXAS AT DALLAS

Agency
United States Department of Commerce
NAICS
611310 - Colleges, Universities, and Professional Schools
Period start
2026-10-01
Period end
2027-09-30
Budget
156640.0
Place of performance
RICHARDSON, TEXAS 75080, UNITED STATES

Description

PURPOSE:IMPROVE THE ACCURACY AND RELIABILITY OF IDENTIFYING PEOPLE IN IMAGES BY EVALUATING HOW HUMAN DECISION-MAKING AND AUTOMATED RECOGNITION SYSTEMS CAN WORK TOGETHER UNDER CHALLENGING REAL-WORLD CONDITIONS. THE PROJECT WILL EXAMINE THE STRENGTHS AND LIMITATIONS OF FACE AND WHOLE-PERSON RECOGNITION APPROACHES AND DEVELOP PRACTICAL METHODS FOR IMPROVING IDENTIFICATION ACCURACY THROUGH HUMAN OVERSIGHT AND DECISION FUSION.ACTIVITIES TO BE PERFORMED:CONDUCT RESEARCH COMPARING HUMAN AND AUTOMATED RECOGNITION PERFORMANCE USING CHALLENGING FACE AND WHOLE-PERSON IMAGES; EVALUATE METHODS FOR COMBINING HUMAN AND MACHINE DECISIONS TO IMPROVE ACCURACY; ASSESS RECOGNITION APPROACHES ACROSS VARYING IMAGE QUALITY CONDITIONS; DEVELOP AND TEST MULTI-TASK RECOGNITION METHODS; AND ANALYZE THE FACTORS THAT CONTRIBUTE TO SUCCESSFUL HUMAN-MACHINE COLLABORATION. RESULTS WILL BE VALIDATED THROUGH CONTROLLED EXPERIMENTS AND STATISTICAL ANALYSES AND DISSEMINATED THROUGH TECHNICAL PUBLICATIONS.EXPECTED OUTCOMES:THE PROJECT WILL PRODUCE IMPROVED UNDERSTANDING OF THE CONDITIONS UNDER WHICH HUMAN AND AUTOMATED RECOGNITION SYSTEMS PERFORM MOST EFFECTIVELY, VALIDATED METHODS FOR COMBINING HUMAN AND MACHINE DECISIONS TO IMPROVE IDENTIFICATION ACCURACY, PERFORMANCE BENCHMARKS FOR CHALLENGING RECOGNITION SCENARIOS, AND RESEARCH FINDINGS THAT SUPPORT MORE RELIABLE AND TRUSTWORTHY IDENTITY RECOGNITION TECHNOLOGIES.INTENDED BENEFICIARIES:RESEARCHERS, STANDARDS DEVELOPERS, TECHNOLOGY DEVELOPERS, PUBLIC SAFETY AND FORENSIC PRACTITIONERS, AND ORGANIZATIONS THAT RELY ON ACCURATE AND TRUSTWORTHY IDENTITY RECOGNITION TECHNOLOGIES WILL BENEFIT FROM IMPROVED EVALUATION METHODS AND EVIDENCE-BASED GUIDANCE FOR HUMAN OVERSIGHT OF AUTOMATED RECOGNITION SYSTEMS.SUBRECIPIENT ACTIVITIES:THERE ARE NO PLANNED SUBAWARD ACTIVITIES PLANNED.

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