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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| Vydáno v: | International Conference on Big Data and Smart Computing s. 437 - 440 |
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| Hlavní autoři: | , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.02.2017
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| Témata: | |
| ISSN: | 2375-9356 |
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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. |
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| 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 |
| Author_xml | – sequence: 1 surname: Dongkeon Lee fullname: Dongkeon Lee email: hagg30@kaist.ac.kr organization: Sch. of Comput., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea – sequence: 2 surname: Kyo-Joong Oh fullname: Kyo-Joong Oh email: aomaru@kaist.ac.kr organization: Sch. of Comput., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea – sequence: 3 surname: Ho-Jin Choi fullname: Ho-Jin Choi email: hojinc@kaist.ac.kr organization: Sch. of Comput., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea |
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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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