Forum Date & Time
Thursday, February 19, 11:00 AM – 12:00PM ET
Topic: Supporting Military Veterans in Civilian Job Interviews with Artificial Intelligence
Meeting Access
Zoom link: https://www.zoomgov.com/j/16121670761?pwd=aUxuWEVaRjVlbUVXQmY4dHVGQ3pDUT09&omn=1619988702
Password for the meeting: Forum
Meeting ID: 161 2167 0761
One tap mobile: +1 669 254 5252,16121670761# US (San Jose) | +1 646 828 7666,16121670761# US (New York)
Program Description
This presentation will highlight research aimed at understanding the challenges that military veterans often encounter during civilian job interviews. Our work uses experiential and sensory data collected from both veterans and interviewers as they participate in an online mock interview, giving us a clearer picture of the interview experience and where difficulties may arise. Building on these insights, we developed and tested two AI-based tools designed to better support veterans as they prepare for job interviews. The first tool analyzes the language used in interview responses and identifies areas that could be improved, such as giving overly detailed explanations, and then offers formative feedback. The second tool measures signs of stress during the interview and uses this information to personalize strategies that help reduce nervousness during practice sessions. Together, these technologies aim to help veterans feel more confident, communicate more effectively, and navigate civilian job interviews with greater ease.
Presenters
Theodora Chaspari is an Associate Professor in Computer Science and the Institute of Cognitive Science (ICS) at University of Colorado Boulder. Her research focuses on affective computing, human-centered and responsible machine learning, and health analytics. She is a recipient of the 2021 NSF CAREER Award (2021) and is serving as an Editor of the Elsevier Computer Speech & Language and the IEEE Transactions on Affective Computing. Her work is supported by federal and private funding sources, including the NSF, NIH, NASA, IARPA, AFOSR, General Motors, and the Engineering Information Foundation.
Winfred Arthur, Jr. is the John Paul Abbott Professorship in Liberal Arts in the Department of Psychological & Brain Sciences at Texas A&M University. His research is broadly in the areas of (1) personnel psychology with an emphasis on testing, assessment, selection, validation, and associated methodological issues including but not limited to meta-analysis; (2) individual and team training with a focus on complex skill acquisition and factors related to minimizing skill decay and enhancing retention. This line of research also focuses on training design features and their relationship to the effectiveness of organizational training; and (3) the identification and examination of individual difference variables related to complex information processing tasks.
Amir Behzadan is a professor in the Department of Civil, Environmental and Architectural Engineering at the University of Colorado Boulder. He is also a fellow in the Institute of Behavioral Science (IBS), where the Natural Hazards Center is located. Behzadan is the director of the Connected Informatics and Built Environment Research (CIBER) Lab, which aims at investigating grand challenges at the intersection of the society and built/natural environments (including disaster resilience, climate change adaptation, jobsite safety, workplace health and ergonomics) through the design, validation, and dissemination of human-centered, responsible and affordable AI/ML solutions.
If you would like to be added to or removed from the MCTO Research Forum mailing list, please contact Joel Goldman joel.h.goldman2.ctr@mail.mil directly. For more information, contact Dr. Nathan D. Ainspan at nathan.d.ainspan.civ@mail.mil or (571) 372-0742.
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