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Erschienen in: Artificial Life and Robotics 2/2020

28.01.2020 | Original Article

Study on visualization of cognitive rectifying with conversation documents in psychological counseling

verfasst von: Yasuo Ebara, Tomoya Uetsuji, Minoru Kamata, Koji Koyamada

Erschienen in: Artificial Life and Robotics | Ausgabe 2/2020

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Abstract

In psychological counseling, it is considered that the client’s cognitive rectifying is progressing when the percentage of the behavior about the client oneself increases than the behavior of others to the client in the client’s utterances. To understand the progression of the client’s cognitive rectifying, the counselors often make confirmations through the verbatim record of the conversation documents in the psychological counseling. However, the counseling by the same client and counselor usually are conducted multiple times and the amount of the verbatim record of the counseling become enormous. Therefore, the counselor is difficult to understand how far the client’s cognitive rectifying has progressed while referring to the all verbatim record. To improve the problem, we proposed and designed a system for visualization by the human-relationship chart with directed graphs based on the conversation documents in psychological counseling to understand intuitively the degree of the client’s cognitive rectifying. In addition, an expert counselor conducted a subjective evaluation on the effectiveness for understanding the progressing of client’s cognitive rectifying by using this system based on the visualization results with the conversation documents of actual psychological counseling. As the result, it is possible to visually understand the progress of the client’s cognitive rectifying by overviewing multiple times of psychological counseling process, we showed that this proposed system is effective in these understanding tasks.

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Metadaten
Titel
Study on visualization of cognitive rectifying with conversation documents in psychological counseling
verfasst von
Yasuo Ebara
Tomoya Uetsuji
Minoru Kamata
Koji Koyamada
Publikationsdatum
28.01.2020
Verlag
Springer Japan
Erschienen in
Artificial Life and Robotics / Ausgabe 2/2020
Print ISSN: 1433-5298
Elektronische ISSN: 1614-7456
DOI
https://doi.org/10.1007/s10015-020-00585-8

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