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AUGMENTED TRANSITION NETWORKS (ATNs) FOR DIALOGUE CONTROL: A LONGITUDINAL STUDY

AUGMENTED TRANSITION NETWORKS (ATNs) FOR DIALOGUE CONTROL: A LONGITUDINAL STUDY. Curry Guinn Rob Hubal (RTI). Outline. Architecture Applications Experiments Results. Virtual Human Architecture. Applications.

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AUGMENTED TRANSITION NETWORKS (ATNs) FOR DIALOGUE CONTROL: A LONGITUDINAL STUDY

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  1. AUGMENTED TRANSITION NETWORKS (ATNs) FOR DIALOGUE CONTROL: A LONGITUDINAL STUDY Curry Guinn Rob Hubal (RTI)

  2. Outline • Architecture • Applications • Experiments • Results

  3. Virtual Human Architecture

  4. Applications • Question-Answer Kiosks (Tradeshow for Tradeshows, Space Congress, John Deere, ASTD, APHA) • Training Applications • Bank Teller Training • Field Interviewer Trainer • Phone Interviewer Trainer • Informed Consent Trainer • Law Enforcement Training for Encounters with the Mentally Ill • Pediatrics Trainer • Profiler • Youth risk-assessment profiler • Prison inmate risk assessment profiler

  5. Applications

  6. Augmented Transition Network Data Structure • Augmented Transition Network is a Finite State Machine with Variables • Nodes • Transitions • Variables If x < 2 A B If x >=2 C

  7. Structure of a Node

  8. Augmented Transition Network Data Structure wait_on_input /* Name */ Normal /* Type */ Grammar: "intro.gram default.gram" Response: "inform(offer_assistance)" VRString: "raise(eyebrows)" Action: "MENTOR = 0.8" Transition: proc_command TransitionAction: "INPUT = command" Conditional: "command(CONTENT)" Transition: proc_query TransitionAction: "INPUT = query" Conditional: "query(CONTENT)"

  9. ATN Statistics In Order of Creation of Each System

  10. Semantic Complexity vs. Network Complexity

  11. Variables Used • The linear increase is encouraging • Why? • You might expect that as the number of semantics increase the network expands exponentially • What’s holding this number down? • The use of variables

  12. Decrease in the Number of Normal Nodes • The replication of normal (“speech”) nodes resulted in more repetitive networks • Used variables to store which grammars needed to be loaded next • Greatly decreases the complexity of the network

  13. The number of transitions as a measure of complexity • Over time, we tended to move towards reducing the inter-node connections • Why? • Easier to trace and debug • Easier to maintain • This at the expense of large number of nodes

  14. Future Work • How do these empirical measurements correspond to “true” costs? • Time to development • Reliability • Maintenance

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