This document discusses advances in testing and evaluating human-biometric sensor interaction using a new model. It describes gaps in traditional biometric testing, such as how users interact with systems. A new Human Biometric Sensor Interaction model is presented and has been tested on iris and fingerprint biometrics. The model has been expanded to more complex systems like border gates. Testing looks at how users interact with biometric systems in different environments and factors like throughput. The goal is to better test and evaluate systems without overburdening test facilities.

1. ADVANCES IN TESTING AND
EVALUATION USING HUMAN-BIOMETRIC
SENSOR
INTERACTION MODULES
BIOMETRICS 2014 – OCTOBER 21st

2. TALK TODAY
•Examine the advances in Human Biometric
Sensor Interaction model
• Current models
•Work ongoing in the Center

3. WHAT IS THE HUMAN BIOMETRIC SENSOR
INTERACTION MODEL

4. EVALUATION OF BIOMETRIC TESTING
• Traditional biometric testing
• Algorithm testing
• Well established metrics
• Well understood testing methodologies
• Operational testing
• Harder to do
• Access to environments
• Test methodologies dependent in some cases on the test

5. GAPS IN BIOMETRIC TESTING
•Training
• How do users get accustomed to devices?
• Can they remember how to use them?
• How do we provide good training to the users that
has a consistent message?

6. GAPS IN BIOMETRIC TESTING
• Accessibility
• How many people know people who have
problems with interacting with a biometric
systems?
• How do we deal with accessibility and usability
issues?
• Hearing and sight issues

7. GAPS IN BIOMETRIC TESTING
•Human Factors
• Testing and evaluating biometric systems by
looking at how the users interact with the system
• Are performance results different in an operational
environment than collect in a lab?
• Are these performance results due to the
environment?

8. GAPS IN BIOMETRIC TESTING
• Is the error always subject centric?
• The role of the device?
• The role of the operator?

9. TESTING ENVIRONMENTS ARE MORE
COMPLEX

10. BACKGROUND OF THE HBSI MODEL

11. HBSI MODEL

12. HUMAN BIOMETRIC SENSOR INTERACTION
•Development of the model
• Initially tested the model on iris, fingerprint
• Then introduced the “Dynamic HBSI model” in
partnership with University of Kent, Canterbury
• On to more complex systems such as border
gates and mobile platforms

13. CHALLENGES / OPPORTUNITIES
• Challenges are that devices and biometric systems are:
• Now multifaceted
• Variety of form factors, deployments, applications
• In the hands of more customers
• They become more demanding
• Technology development cycle is short
• Opportunity is how to test and evaluate the interactions
without it becoming burdensome to a test facility

14. USE CASE: BORDER GATES
• Border gate – the interaction is more than just
presenting your biometric
• Heathrow last night….

15. CHALLENGES
•Token - the passport
•People traveling - potential incorrect passport
•Throughput issues - how to measure

16. NEW ADDITIONS TO THE HSBI MODEL
•Token
• False Claim
• Attack

17. TESTING AND EVALUATION RESEARCH
• HBSI and Border Gates
• Building a border gate in the
center to test various
technologies, including iris,
fingerprint, documents
• Throughput research
• Usability using the Kinect
• Novel performance metrics
such as the Stability Score
Index

20. TESTING AND EVALUATION RESEARCH
•Mobile devices are important as well, and we
continue to work in this area:
• Wild testing
• Illumination / Noise / Controlled environments
• Voice, face, signature, palm, and multi-factor
authentication

21. QUESTIONS

22. TOKEN HBSI MODEL

23. TOKEN HBSI MODEL

24. TOKEN HBSI MODEL