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WRM: “Trust in Automation Research: Current Directions and Gaps”

Apr 5, 2017 @ 1:00 pm - 2:30 pm

Joseph Lyons
Air Force Research Laboratory

Abstract 

Trust in automation research has proliferated as automated systems are developed and fielded into the military and society. Yet, few studies have examined trust in automation of real systems, with real operators, using technology with real-world consequences. The current talk will discuss the research directions of the Human Insight and Trust (HIT) team within the Air Force Research Laboratory.  The talk will discuss high-level directions for this team and it will do a deep dive into one applied project where trust was studied in the context of F-16 pilots and a novel automated safety system. Future directions in the domain of transparency for human-robot interaction will also be discussed.

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View Presentation Slides


WEB/CONFERENCE CALL 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 downloaded directly from Cisco. Also, it
should work on iPhones and iPads via the WebEx App.
A good internet connection is recommended.
For better audio, please join via computer and then have the meeting call your number or call in directly using one of the numbers below. When not speaking, please mute your
phone to avoid background noise.
When it’s time, join the WebEx meeting from here:
https://wolfmeeting.ncsu.edu/orion/meeting/meetingInfo?MeetingKey=BgAAAGusDDQG2cXwNzZr7g3-C1DuXqwI-k9G1nScameJbApZfT6PxNmhSDBvtncaiBl3dD17gQ49YDt9CgMQid1-M5AF&frm=page&siteurl=wolfmeeting
Meeting Number: 999 183 321
Audio Connection: 919-513-9329 (WolfMeeting)
Access Code: 999 183 321

Sponsored by the Laboratory for Analytic Sciences

Details

Date:
Apr 5, 2017
Time:
1:00 pm - 2:30 pm
Event Category:
WRM
Event Tags:
meeting, research, wednesday, WRM

Organizer

Mindy Huffman
Phone:
919-515-6084

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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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