There are significantly many people including IT workers, old persons, job seekers, etc., who suffer from (psychological) distress in their work or life. Compared with this, there are only a limited number of human counselors who can provide mental care to such many distress persons. Initially for psychologically distressed IT workers, we developed a counseling agent (CA) called a context respectful counseling agent (CRECA), which serves IT workers just like a human counsellor. In a context respectful/preserving way to provide unconditional positive regard, CRECA replies prompting to dig or clarify problems as well as paraphrases or processes mirroring. In this paper, to save more persons including even elderly people other than IT workers, CRECA is enhanced to realize Virtual Counseling Agent (VCA) as follows: 1) making more human-friendly by an image avatar with voice conversation, 2) letting confirmation replies such as the relationship among wishes, obstacles, etc. as well as with past sayings in client's utterances, especially for the forgetful/elderly persons. For successful voice conversation, Google cloud speech API is not only exploited but its error processing is elaborated in our VCA system. The evaluation by 14 subjects showed the effect of this new VCA as follows: 1) the dialogue continuation length became twice as long as that of ELIZA, 2) positive feeling by selfawareness became high score 5 or 6 in 7 stages of Likert scale for all the elderly 7 persons.

Visual Counseling Agent and its Evaluation / Y. Sakurai, Y. Ikegami, M. Sakai, H. Fujikawa, S. Tsuruta, A.J. Gonzalez, E. Sakurai, E. Damiani, A. Kutics, R. Knauf - In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI) / [a cura di] S. Sundaram. - [s.l] : IEEE, 2019. - ISBN 9781538692769. - pp. 2286-2291 (( Intervento presentato al 8. convegno IEEE Symposium Series on Computational Intelligence, SSCI tenutosi a Bangalore nel 2018.

Visual Counseling Agent and its Evaluation

E. Damiani;
2019

Abstract

There are significantly many people including IT workers, old persons, job seekers, etc., who suffer from (psychological) distress in their work or life. Compared with this, there are only a limited number of human counselors who can provide mental care to such many distress persons. Initially for psychologically distressed IT workers, we developed a counseling agent (CA) called a context respectful counseling agent (CRECA), which serves IT workers just like a human counsellor. In a context respectful/preserving way to provide unconditional positive regard, CRECA replies prompting to dig or clarify problems as well as paraphrases or processes mirroring. In this paper, to save more persons including even elderly people other than IT workers, CRECA is enhanced to realize Virtual Counseling Agent (VCA) as follows: 1) making more human-friendly by an image avatar with voice conversation, 2) letting confirmation replies such as the relationship among wishes, obstacles, etc. as well as with past sayings in client's utterances, especially for the forgetful/elderly persons. For successful voice conversation, Google cloud speech API is not only exploited but its error processing is elaborated in our VCA system. The evaluation by 14 subjects showed the effect of this new VCA as follows: 1) the dialogue continuation length became twice as long as that of ELIZA, 2) positive feeling by selfawareness became high score 5 or 6 in 7 stages of Likert scale for all the elderly 7 persons.
context respectful counseling agent; visual counseling agent; image avatar; voice conversation; dialogue continuation; positive feeling
Settore INF/01 - Informatica
2019
IEEE
Book Part (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/665676
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