Dear HFES Carolina Chapter Members & Friends –
HFES Carolina is hosting a talk on Friday, details and abstract below. We have room for 16 more people, so please let me know if you plan on attending, or already RSVPed but won’t be able to make it.
Miranda Capra
HFES Carolina Chapter Secretary
---------------------
HFES Carolina and NCSU/NC A&T Student Chapters Meeting and Seminar
(Hosted by the Carolina Chapter)
When: June 20, 2008, 11:30a-12:45pm
Where: HumanCentric ( http://humancentric.com/ )
Presenter: Professor Younho Seong of the Department of Industrial & Systems Engineering
at NC A&T
Title: Supporting Human Judgment and Decision Making Performance /
Trust Calibration with Decision Aids and Sensemaking
(Attendance is limited to 30 persons for this event. Please confirm
attendance with Miranda Capra - mcapra@humancentric.com .)
Professor Younho Seong of the Department of Industrial & Systems Engineering at NC A&T will give a presentation on his recent research on the effects of decision aid quality on user trust and performance in tactical applications. This talk will emphasize the need to calibrate human trust in automated aids for effective performance (see abstract below).
This will be a "brown bag" seminar with refreshments served by the Carolina Chapter. Local and Student Chapter announcements will made from 11:30a-11:45. The presentation will run from 11:45a-12:30pm. This event will take place at HumanCentric's new location in Cary, 200 MacKenan Drive, Cary, North Carolina 27511 (for directions, see http://www.humancentric.com/contact.php). We hope to see you there!
Dave Kaber
HFES Carolina Chapter President
***************************************
This message has been sent to the mailing list of the Carolina Chapter of the Human Factors and Ergonomics Society. If you would like to change your contact information or be taken off the list, please email me and let me know that you are currently subscribed as:
Nathan Klein (knathan@clemson.edu)
- Miranda Capra, HFES Carolina Secretary
***************************************
Supporting Human Judgment and Decision Making Performance /
Trust Calibration with Decision Aids and Sensemaking
Younho Seong
Department of Industrial & Systems Engineering
North Carolina A&T State University
There is a rich history theoretically as well as empirically in the field of sociology on definitions and role of trust with its importance. Recently, there are also a few studies of trust in human machine interaction. Previous studies on trust in automated systems revealed that characteristics of automated systems affected human trust in the systems, which in turn impacted utilization of the systems. These studies provided a useful conceptual map existed between automated systems and human operators. However, none of these studies attempted to calibrate human trust so that automated systems could be better utilized. A better utilization of automated systems may lead to better performance in human judgment. Computerized decision aids are designed to support human operators’ decision making activities in a variety of contexts including medicine, military command and control, and aviation industry. One common characteristic of these systems is of the role of the decision aid, integrating a variety of measured information to produce a simple form of more meaningful information that can be used to support human operators’ judgment about environmental states of interest. When these aids malfunction, the decision makers may ignore the aid due to the lack of trust in the aid. This study examines the effect of automated decision aids of varying quality in producing environmental estimates, and investigates the effect of meta-information in supporting judgment performance of human operators’ with the decision aids and calibrating human trust in such aids. A Lens Model based feedback is used to provide meta-information about the decision aid. An aircraft identification task is performed under varying conditions of aid quality and the presence of meta-information. Results show that performance, as well as assessments of trust in the aid, are affected by the decision aid’s quality. More importantly, participants given with the meta-information performed significantly better than those without it. Results indicate that human operators can compensate for a poor performing aid when meta-information is available. Further, operators’ trust was better calibrated corresponding to the decision aid’s quality. In addition, a brief discussion of on-going project supported by Army Research Laboratory will be provided.
Brief bio:
2002 – current: Assistant Professor at the Department of Industrial & Systems Engineering, North Carolina A&T State University.
Research Associate: Center for Human Machine Studies.
Research Associate: Center for Human Centric Command and Control Decision Making
Research Associate: Institute for Public Health
Ph.D. 2002. State University of New York at Buffalo.
Research interests: Since joining the current department, he has been an active researcher in the field of cognitive systems engineering, ecological perspective on human judgment and decision making, human trust in automation, human–robot interaction, sensemaking and human judgment and decision making in dynamic and uncertain environment, and training implications.
Miranda Capra, PhD
Senior Human Factors Specialist
200 MacKenan Drive
Cary, North Carolina 27511
P 919 481 0565 | F 919 481 0310
