PROPOSAL CANDIDATE PRESENTATION DEVICE AND PROPOSAL CANDIDATE PRESENTATION METHOD

A proposal candidate presentation device that includes: a biological reaction information generator that generates biological reaction information; a dialogue content information generator that generates dialogue content information including dialogue content between the customer and a proposer; a d...

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Bibliographische Detailangaben
Hauptverfasser:	OHMORI, MOTOJI, SASO, ATSUSHI, ASAI, AKIRA, AOKI, YUICHI, IKETSUKI, YASUKO
Format:	Patent
Sprache:	eng
Schlagworte:	ACOUSTICS CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES MUSICAL INSTRUMENTS PHYSICS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	A proposal candidate presentation device that includes: a biological reaction information generator that generates biological reaction information; a dialogue content information generator that generates dialogue content information including dialogue content between the customer and a proposer; a determiner that determines whether a customer reaction to a question from the proposer is positive or negative, based on the biological reaction information and dialogue content information; a proposal candidate generator that generates a customer proposal candidate information, based on a customer response to the question, when it is determined that the customer reaction based on the biological reaction information is positive and the customer reaction based on the dialogue content information is positive; and a re-question generator that generates first re-question information having the same perspective as the question, when the customer reaction based on the biological reaction information and the customer reaction based on the dialogue content information do not match.