Biometric Operator Performance

Research Areas: Human Centric Security

Principal Investigator: Stephen Elliott

Biometric system deployments can be classified in two ways: attended and non-attended. This area of research focuses only on attended systems, which rely on skills and knowledge of the data collection agent to operate the user interface as well as the biometric device in the capture process.  One example of data collection agents would be military personnel using a mobile iris recognition system for identifying people of interest in areas of conflict.

The objective of the study is to evaluate the impact of instructional methods on the agent collecting data with a mobile iris recognition system. This research aims to provide insight into the following questions:
Does the instructional method have any effect on the performance of the subject?
Does one type of learners perform better in the data collection process given a particular instructional method?


Students: Benny Senjaya

Coming Up!

Our annual security symposium will take place on April 7th and 8th, 2020.
Purdue University, West Lafayette, IN

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