Using String Metrics to Improve the Design of Virtual Conversational Characters: Behavior Simulator Development Study

JMIR Serious Games
Santiago García-CarbajalJose Luis Múgica

Abstract

An emergency waiting room is a place where conflicts often arise. Nervous relatives in a hostile, unknown environment force security and medical staff to be ready to deal with some awkward situations. Additionally, it has been said that the medical interview is the first diagnostic and therapeutic tool, involving both intellectual and emotional skills on the part of the doctor. At the same time, it seems that there is something mysterious about interviewing that cannot be formalized or taught. In this context, virtual conversational characters (VCCs) are progressively present in most e-learning environments. In this study, we propose and develop a modular architecture for a VCC-based behavior simulator to be used as a tool for conflict avoidance training. Our behavior simulators are now being used in hospital environments, where training exercises must be easily designed and tested. We define training exercises as labeled, directed graphs that help an instructor in the design of complex training situations. In order to increase the perception of talking to a real person, the simulator must deal with a huge number of sentences that a VCC must understand and react to. These sentences are grouped into sets identified with a common...Continue Reading

References

Apr 14, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Li Yujian, Liu Bo

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Software Mentioned

SequenceMatcher
Graphviz
difflib
COGNITIVA
Microsoft Speech Application Programming Interface ( API
lang

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