The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Tempestt Neal on “Qualitative Methods for Biometrics
Research”. Detail on the webinar are given below:

Title: Qualitative Methods for Biometrics Research: Exploring User
Behavior and System Design
Speaker: Prof. Tempestt Neal, University of South Florida, USA
When: 14 November 2024, at 1pm ET (7 pm CET)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_-iyWaOA1Tpmx9r6CQU2t0g

*** Talk Summary ***
Qualitative research is a method of inquiry aimed at gaining a deep
understanding of social phenomena by relying on individuals’ direct
experiences. Unlike quantitative research, which seeks to quantify
variables and analyze numerical data, qualitative research emphasizes
the exploration of complex, subjective experiences, meanings, and social
dynamics. Qualitative exploration can greatly enhance the field of
biometrics by offering deep insights into complex issues like bias in
biometric systems and user acceptability. These methods allow for a more
detailed understanding of how these systems are perceived and
experienced, which is crucial for addressing ethical concerns and
improving overall effectiveness. This webinar aims to provide biometrics
researchers with a foundational understanding of qualitative research
methods and their applicability to the field.

*** About the Speaker ***
Tempestt Neal is an Associate Professor of Computer Science and
Engineering at the University of South Florida. She leads the Cyber
Identity and Behavior Research (CIBeR) Lab, which primarily conducts
quantitative and qualitative research on mobile-based sensing for
biometrics and human behavior understanding in interdisciplinary
applications, as well as cybersecurity awareness among populations
historically underrepresented in Science and Engineering. The lab’s
research also spans natural language processing, mostly including the
study of linguistic cues as a cognitive biometric trait, as well as
implicit opinion mining tasks. She holds a Ph.D. from the University of
Florida (Computer Engineering, 2018), M.S. from Clemson University
(Computer Science, 2014), and a B.S. from South Carolina State
University (Computer Science with a minor in Mathematics, 2012). Dr.
Neal has served as an Associate Editor for the IEEE Biometrics Council
Newsletter and Guest Editor for the MDPI Electronics Special Issue on
Recent Advances in Biometric Security in IoT Based on Machine Learning.
She has also served on the organizing committee for several workshops in
Artificial Intelligence and Biometrics, including the Workshops on
Applied Multimodal Affect Recognition (AMAR 2020, AMAR 2021, AMAR 2022)
and the Workshop on Interdisciplinary Applications of Identity Science
and Biometrics. She was a recipient of the University of Florida Delores
Auzenne Dissertation Award and National Science Foundation CyberCorps
Scholarship for Service Fellowship. She was also recognized as a
2021-2022 McKnight Junior Faculty Fellow, and received an NSF CAREER
Award in 2023.

For more information, visit:
https://ieee-biometrics.org/event/qualitative-methods-for-biometrics-besearch/