This is a poster presentation outlining the Human Biometric Sensor Interaction (HBSI) model for students in the K-12 environment.

1. Introduction Conceptual Framework Expected Outcomes
BIOMETRICS is defined as the automated recognition of The expected results from this
behavioral and physiological characteristics of an From Tayyari study will not solve all usability
individual. As the biometric industry matures, the research & Smith (2003) and ergonomic problems as
and development has remained focused on three areas: they relate to biometrics, as
increasing performance, increasing throughput, and the process is iterative.
decreasing the size of the sensor or hardware device. However, it is expected the
Limited consideration has been given to the users. In users will:
addition, testing and reporting efforts generally report
performance of the algorithm in terms of False Acceptance Find the swipe sensor
and False Rejection Rates. easier to use providing
more repeatable images.
This research asserts that performance of a biometric
system will be dependent upon the user. Therefore it is Prefer the ergonomic
important to understand how the physical design of form factor to the current
the biometric sensor affects not only system form factor satisfying
performance but how the user interacts with the the usability criteria.
device.
From ISO
Since the ergonomic form
More importantly, does the performance of a biometric From ISO/IEC 19795-1 (2006) 9241-11 factor is easier to use and
system performance satisfy the purpose of the users (1998) produces more repeatable
or organization using it? The authors have named this images, the amount of training
research the Human-Biometric Sensor Interaction (HBSI), and interaction required to
as it investigates how users present their biometric data to
a sensor, as every process in a biometric system is
The General
Biometric Model + Ergonomics
& Usability = successfully create repeatable
images will decrease.
dependent upon the collected biometric characteristics.
Preliminary Research
Impact of Fingerprint Force on Image Quality Height Selection to Optimize Hand Geometry Performance
The motivation for The purpose of this research was to investigate if height affects hand
Experiment 1 Experiment 2
this research was geometry performance and offer a recommendation based on the testing for
to determine if the a suitable height for placement of a hand geometry reader, both in terms of
force (pressure) user comfort and device performance optimization.
an individual
applies to an
optical fingerprint
sensor can be
correlated with the
resulting image User preference of hand reader height
quality. It is well
documented that
many factors
affect fingerprint
image quality such
as age, ethnicity,
moisture,
temperature and
force, although
force has only
been subjectively
measured in the
literature.
Habituation with Biometric Devices Small Area vs. Swipe-Based Fingerprint Sensors
Swipe-
How an individual interacts with a biometric device so as to make consistent, repeatable presentations is an important The purpose of this research was to understand the differences in performance between
topic of discussion within the biometrics community. In this study we proposed a novel process to define habituation small area and swipe fingerprint sensors regarding FTA & FTE.
and provided data on how quickly individuals in different circumstances can fully habituate.
Small Area
Swipe
For more information about this research, visit: http://www.biotown.purdue.edu/research/ergonomics.asp Contact Information: Eric Kukula kukula@purdue.edu , Dr. Elliott elliott@purdue.edu