| Autor: |
Hiroki Tanaka, Hidemi Iwasaka, Yasuhiro Matsuda, Kosuke Okazaki, Satoshi Nakamura |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 65-70 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2644-1276 |
| DOI: |
10.1109/OJEMB.2021.3075567 |
| Popis: |
Goal: Although automated social skills training has been proposed to enhance human social skills, the following two aspects have not been adequately explored: what types of feedback are effective from virtual agents and the extent to which such systems enhance users' social self-efficacy. Methods: We developed an automated social skills trainer+ that follows human-based social skills training processes and implemented two types of feedback: 1) a summary of the displayed feedback and 2) feedback based on the results of their previous training. Using our developed system, we measured social self-efficacy, feedback evaluations, and the third-party ratings of participants between pre- and post-training as well as their social responsiveness scales. Results: Self-efficacy is significantly correlated to the social responsiveness scale (r = −0.72) and can be improved with our system (mean improvement of 0.68, p < 0.05). The participants highly rated the feedback that was compared to their past training (14 out of 16, p < 0.05) more than the cases without it and the displayed summary feedback (11 out of 16, p = 0.21) more than the verbal comments. Conclusions: Our system effectively summarized user feedback in terms of user self-efficacy and third-party ratings. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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