The chatbot feels you - a counseling service using emotional response generation

Early study tries to use chatbot for counseling services. They changed drinking habit of who being consulted by leading them via intervene chatbot. However, the application did not concerned about psychiatric status through continuous conversation with user monitoring. Furthermore, they had no ethic...

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Published in:International Conference on Big Data and Smart Computing pp. 437 - 440
Main Authors: Dongkeon Lee, Kyo-Joong Oh, Ho-Jin Choi
Format: Conference Proceeding
Language:English
Published: IEEE 01.02.2017
Subjects:
Context
conversational service
Data models
deep learning
Emotion recognition
Employee welfare
Medical services
Natural language processing
Probabilistic logic
response generation
ISSN:2375-9356
Online Access:Get full text
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Abstract Early study tries to use chatbot for counseling services. They changed drinking habit of who being consulted by leading them via intervene chatbot. However, the application did not concerned about psychiatric status through continuous conversation with user monitoring. Furthermore, they had no ethical judgment method that about the intervention of the chatbot. We argue that more reasonable and continuous emotion recognition will make better mental healthcare experiment. It will be more proper clinical psychiatric consolation in ethical view as well. This paper suggests a introduce a novel chatbot system for psychiatric counseling service. Our system understands content of conversation based on recent natural language processing (NLP) methods with emotion recognition. It senses emotional flow through the continuous observation of conversation. Also, we generate personalized counseling response from user input, to do this, we use additional constrains to generation model for the proper response generation which can detect conversational context, user emotion and expected reaction.
AbstractList Early study tries to use chatbot for counseling services. They changed drinking habit of who being consulted by leading them via intervene chatbot. However, the application did not concerned about psychiatric status through continuous conversation with user monitoring. Furthermore, they had no ethical judgment method that about the intervention of the chatbot. We argue that more reasonable and continuous emotion recognition will make better mental healthcare experiment. It will be more proper clinical psychiatric consolation in ethical view as well. This paper suggests a introduce a novel chatbot system for psychiatric counseling service. Our system understands content of conversation based on recent natural language processing (NLP) methods with emotion recognition. It senses emotional flow through the continuous observation of conversation. Also, we generate personalized counseling response from user input, to do this, we use additional constrains to generation model for the proper response generation which can detect conversational context, user emotion and expected reaction.
Author Ho-Jin Choi
Dongkeon Lee
Kyo-Joong Oh
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  surname: Kyo-Joong Oh
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  surname: Ho-Jin Choi
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Snippet Early study tries to use chatbot for counseling services. They changed drinking habit of who being consulted by leading them via intervene chatbot. However,...
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StartPage 437
SubjectTerms Context
conversational service
Data models
deep learning
Emotion recognition
Employee welfare
Medical services
Natural language processing
Probabilistic logic
response generation
Title The chatbot feels you - a counseling service using emotional response generation
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