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DTSTAMP:20250822T115810Z
LOCATION:Campussaal - Plenary Room
DTSTART;TZID=Europe/Stockholm:20250616T102000
DTEND;TZID=Europe/Stockholm:20250616T105000
UID:submissions.pasc-conference.org_PASC25_sess149_pos155@linklings.com
SUMMARY:P05 - The Chatbot Update System (CUS): An Effective Interface to T
 rain AI
DESCRIPTION:Stephen Francis (Brigham Young University)\n\nWith the rise of
  AI in many disciplines and the proliferation of chatbots in many applicat
 ions, various chatbots need training to properly respond to human users. I
 n this presentation, I report on a chatbot training interface that I devel
 oped named CUS, the Chatbot Update System. CUS was developed for use with 
 a cybersecurity playable case study that immerses users in an experience l
 ike unto working in a cybersecurity firm. A chatbot plays the users’ cowor
 kers in the simulation, and the chatbot needs training to recognize the me
 aning of various user inputs. CUS successfully provided a convenient and e
 fficient way to provide appropriate responses to user input. With this pre
 sentation, I show the most recent version of CUS, which includes new featu
 res: gamified elements, small sets of corrections, a mobile-friendly inter
 face, and an arbitration feature.\n\nSession Chair: Chris Cantwell (Imperi
 al College London)\n\n
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