[TriEmbed] [TAR] [Venue: Duke University - TAR Meeting Monday November 6th, 7 pm]

[Mahesh Balasubramaniam]

Friends,

We are having our monthly IEEE R&A chapter meeting on Nov 06, 2017, evening
7 pm (6:20 pm for pizza) at Duke University, North Building, Room 311.  The
topics will be

*"Duke University R&A: Humans And Autonomy Lab - Humans' Interactions with
Autonomous Systems - Dr. Michael Clamann, Explainable AI - Dr. Alexander
Stimpson, Experiment on Humans' Trust in Risk-Aware Autonomy - Dr. Lixiao
Huang"*

Meeting address:* North Building, Room 311, 304 Research Dr., Durham, NC*
Parking garage A *(Searle center event parking): 311 Research Dr., Durham,
NC (closer) (free parking after 5 pm)*
Parking garage B* (Visitor parking): 135 Science Dr., Durham, NC  (free
parking after 6 pm)*

Please refer to the registration link below for more details.
registration link :

https://events.vtools.ieee.org/m/47398

Requesting all of your co-ordination to mindfully welcome, appreciate and
get inspired by Dr. Clamann, Dr. Stimpson, Dr. Huang and the entire HAL
team - for their research and development involving Humans and Autonomy.

*Event Details*:

Research in Duke University's Humans and Autonomy Lab (HAL*
<https://hal.pratt.duke.edu/#hal>) focuses on the multifaceted interactions
of human and computer decision-making in complex sociotechnical systems
with embedded autonomy.

Given the explosion of autonomous technology in aviation, medicine, and
even in everyday mundane environments like driving, the need for humans as
supervisors of and collaborators in complex autonomous control systems has
replaced the need for humans in direct manual control.

Instead of relying on humans for well-rehearsed skill execution and rule
following that requires significant practice and memorization (and subject
to problems such as fatigue and boredom), autonomous systems need humans
for their more abstract levels of knowledge synthesis, judgment, and
reasoning. Autonomous systems today, and even more so in the future,
require coordination and teamwork for mutual support between humans and
machines for both improved system safety and performance.

Highly impressive members from Duke HAL project team, Dr. Michael Clamann,
Dr. Alexander Stimpson and Dr. Lixiao Huang together will present a subset
of the technology research areas involved at Duke HAL Lab.  Dr. Clamann
will start with a broad overview of projects done at HAL research, will
provide his valuable insights about recent trends in Human Interactions
with Autonomous Systems.  Dr. Stimpson will discuss about "Explainable
Aritificial Intelligence" project.  Dr. Huang will discuss about "An
Experiment on Humans' Trust in Risk-Aware Autonomy" project.  This will be
followed a brief tour on Human And Autonomy Lab at Duke.  Please refer to
the following link to know more about Duke's HAL research projects.

HAL lab URL:  https://hal.pratt.duke.edu/

https://hal.pratt.duke.edu/research-0

<https://hal.pratt.duke.edu/>Bio of the speakers:
Dr. Alexander Stimpson is a senior research scientist at Duke University
working in the Humans and Autonomy Lab. He received a B.S. Degree in
Biological Engineering from the University of Florida, Gainesville, FL,
USA, in 2007, and S.M. and Ph.D. Degrees in Aeronautics and Astronautics
from the Massachusetts Institute of Technology (MIT), Cambridge, MA, USA,
in 2011 and 2014, respectively. His dissertation work focused on the
application of machine learning models to inform training assessment and
intervention. His current research interests include human supervisory
control, decision support systems, artificial intelligence, and data mining.

Dr. Michael Clamann is a senior research scientist with the Humans and
Autonomy Lab (HAL) at Duke University. He received a Ph.D. in Industrial
and Systems Engineering at North Carolina State University in 2014. He
received a M.I.E. in Industrial and Systems Engineering and a M.S. in
Experimental Psychology from North Carolina State University in 2011 and
2002, respectively. He is an Associate Director at the Collaborative
Sciences Center for Road Safety (CSCRS) and is the lead editor of Robotics
and AI for the Duke Initiative for Science & Society's Policy Tracking
Program (SciPol).  His research interests include human-automation
interaction, multimodal control, and issues at the intersection of
technology and society. He has worked in industry as Human Factors Engineer
since 2002, supporting government and private clients in domains including
aerospace, defense, and telecommunications.

Dr. Lixiao Huang is a Postdoctoral Associate at the Humans and Autonomy Lab
at Duke University since February 2017. She received her B.S. degree in
Applied Psychology from Shanxi University in 2005, two master's degrees
between 2006 and 2010 (a M.Ed. degree in Applied Psychology from Beijing
Normal University and a M.S. degree in Industrial/Organizational Psychology
from Emporia State University), and a Ph.D. degree in Human Factors and
Applied Cognition at NC State University in December 2016. Her dissertation
focused on humans’ intrinsic motivation in robotics tournaments and humans'
emotional attachment to robots. Her research interests include 1) humans’
emotional, cognitive, and behavioral responses to robots (especially
emotional attachment, intrinsic motivation, and trust in autonomy); 2)
application of human factors inhuman–robot interface design, and 3) the
effectiveness of robotics education. Her recent work investigates humans'
trust in autonomy through the development of the Human–Autonomy Interface
for Exploration of Risks (HAIER).

IEEE ENCS RA24 chapter appreciates the passion, drive, highly impressive
efforts and cotribution from Dr. Clamann, Dr. Stimpson, Dr. Huang and the
entire Duke HAL team on the research initiatives involving multiple R&A
projects and wishes continued success, all the very best to their career &
life.

Thank you.

Mahesh Balasubramaniam
IEEE ECNS RA24 Chair
mbalasu at ncsu.edu
919-649-6902 <(919)%20649-6902>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.triembed.org/pipermail/triembed_triembed.org/attachments/20171003/bdb645c0/attachment.htm>