C90-3048 mistranslation occurs . The problem of human-machine interaction in the specific area of clarification
H91-1071 relatively realistic sample data of human-machine interaction . This distinguishes it from
H89-2017 METHOD Before collecting data from human-machine interactions , we observed problem solving
H92-1008 simulate a real , telephone-based , human-machine interaction . Building on the framework of
H89-2017 will be and on what dimensions in human-machine interactions . What aspects of the interaction
H92-1011 general features of genuine spoken human-machine interaction . For example , with some calls
H92-1009 potential factors influencing human-machine interaction . Because these issues are not
H90-1029 interactions and in experimental human-machine interactions \ -LSB- 1 \ -RSB- . In both con
H89-2077 and television . In contrast , human-machine interaction is currently achieved largely
H93-1034 to be necessary for efficient human-machine interaction . These behaviors include : 1
H93-1019 enable better and more friendly human-machine interaction . With 2s of speech , the language
H89-2018 delays that would disrupt the human-machine interaction . Instead , an experimenter in
H92-1007 between Human-Human interaction and Human-Machine interaction . One unique featare of this
H89-2078 the repertoire of methods for human-machine interaction , and not as a replacement for
H89-2017 differences between human-human and human-machine interactions . It is clear that people are
H91-1005 growing needs for intelligent human-machine interaction . The emphasis hitherto has again
H92-1011 nature of future speech-based human-machine interaction have been obtained . In particular
H92-1011 nature of future speech - based human-machine interaction have been obtained . 1 . INTRODUCTION
D15-1268 developers who want to realize smooth human-machine interaction in chat-oriented dialogue systems
H91-1072 We plan to explore how to use human-machine interaction and combined syntax , semantic
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