Background: Social skills training by human trainers is a well-established method of teaching appropriate social and communication skills and strengthening social self-efficacy. Specifically, human social skills training is a fundamental approach to teaching and learning the rules of social interaction. However, it is cost-ineffective and offers low accessibility, since the number of professional trainers is limited.
View Article and Find Full Text PDFSocial skills training (SST), which is a rehabilitation program for improving daily interpersonal communication, has been used for more than 40 years. Although such training's demand is increasing, its accessibility is limited due to the lack of experienced trainers. To tackle this issue, automated SST systems have been studied for years.
View Article and Find Full Text PDFAnnu Int Conf IEEE Eng Med Biol Soc
July 2022
This paper introduces our analysis results on the feedback contents of Social Skills Training and the consequences of automated score estimation of users' social skills with computational multimodal features. Although previous work showed the possibility of a computerized SST system as a clinical tool, its feedback strategies have not been well-investigated. We focused on the feedback content given by experienced SST trainers in human-human SST sessions to overcome this limitation.
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