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How to Build a Human-Machine Collaboration

Sep 26 @ 1:00 pm - 2:30 pm

TITLE:

How to Build a Human-Machine Collaboration

SPEAKER:

Leslie Blaha, Kris Cook, Corey Fallon, Jon Suter
Pacific Northwest National Laboratory

ABSTRACT:

In an effort to continue exploring unique connection points on research areas of mutual interest between LAS and PNNL, we are excited to welcome a team of scientists and engineers to LAS on Wednesday, September 26th to present a WRM titled “How to Build a Human-Machine Collaboration”. In addition, the PNNL team will be available before and after the WRM for further discussion on how research may align with emerging LAS challenge and application areas.  

THERE WILL BE DONUTS! ☺ Come and have fun! It’s informal!

How to Build a Human-Machine Collaboration

Effective collaboration between humans and machines is necessary to help operators and analysts make sense of and solve problems with big data. Through a number of efforts, PNNL is advancing the theories, architectures, and technologies for developing solutions and systems to support human-machine collaboration. In this presentation, we will review some challenges to human-machine collaboration that inspire our work. We will discuss what it takes to develop a strong, appropriately calibrated team. We will demonstrate advances in mixed-initiative technologies that data find analysts. We will discuss advances in human-machine interaction and interactive machine learning, working toward systems learning from their users to better support collaboration and decision making.

About the Speakers

Dr. Corey Fallon, Cognitive Scientist, Visual Analytics

Corey recently joined PNNL, bringing expertise in experimental psychology, human factors and cognitive systems engineering. His research focus is on human-machine interaction with a particular emphasis on trust in technology.
corey.fallon@pnnl.gov

Dr. Leslie Blaha, Senior Cognitive Scientist, Visual Analytics

Leslie joined PNNL in 2016 through the Analysis in Motion Initiative. She has expertise in cognitive modeling and mathematical psychology. Her research emphasizes cognitive models for operator state assessment, for training and expertise development, and for making machines smarter about their users.
leslie.blaha@pnnl.gov

Kris Cook, Advisor, Visual Analytics

Kris has been part of PNNL’s visual analytics team since 1996, and for five years managed PNNL’s visual analytics research group. Kris has led many visual analytics research and development projects, including initial development of the IN-SPIRE visual text analysis software. Her current interests include human-machine teaming and the use of mixed initiative techniques to support analysis.
kris.cook@pnnl.gov

Dr. Jon Suter, Systems Engineer, Applied Physics

Jon has extensive expertise in applied multi-physics sensors research for chemical and biological samples, including microscopy, spectroscopy, imaging, and electromagnetic characterization. He is currently leading a multidisciplinary investigation exploring EEG-powered brain-computer interfaces.
jonathan.suter@pnnl.gov

 

 

WEB/CONFERENCECALL INFO: We are going to use the NC State WebEx for the web conference.Please note that this WebEx belongs to NC State and can not be downloadeddirectly from Cisco. Also, it should work on iPhones and iPads via the WebExApp. A good internet connection is recommended. For better audio, please joinvia computer and then have the meeting call your number or call in directlyusing one of the numbers below. When not speaking, please mute your phone toavoid background noise. When it’s time, join the WebEx meeting from here:

https://wolfmeeting.ncsu.edu/orion/joinmeeting.do?MTID=b208fc6d7bbfe3e35daffa6a96c4515a

 

 

919-513-9329 (WolfMeeting)

Access Code: 996 474 981

 

Details

Date:
Sep 26
Time:
1:00 pm - 2:30 pm

Venue

Partners I, 1017 Main Campus Dr, Raleigh, NC 27606, USA
800 Main Campus Dr
Raleigh, NC United States

Organizer

lascalendar@ncsu.edu
Email:
lascalendar@ncsu.edu

Connect With Us

LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

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