Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training
<italic>Goal:</italic> 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'...
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| Format: | Article |
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IEEE
2021-01-01
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| Series: | IEEE Open Journal of Engineering in Medicine and Biology |
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| Online Access: | https://ieeexplore.ieee.org/document/9416779/ |
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| author | Hiroki Tanaka Hidemi Iwasaka Yasuhiro Matsuda Kosuke Okazaki Satoshi Nakamura |
| author_facet | Hiroki Tanaka Hidemi Iwasaka Yasuhiro Matsuda Kosuke Okazaki Satoshi Nakamura |
| author_sort | Hiroki Tanaka |
| collection | DOAJ |
| description | <italic>Goal:</italic> 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. <italic>Methods:</italic> 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. <italic>Results:</italic> 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. <italic>Conclusions:</italic> Our system effectively summarized user feedback in terms of user self-efficacy and third-party ratings. |
| format | Article |
| id | doaj-art-62508d8add3e4df7b5b36cb861655ea8 |
| institution | Kabale University |
| issn | 2644-1276 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Engineering in Medicine and Biology |
| spelling | doaj-art-62508d8add3e4df7b5b36cb861655ea82025-08-20T03:32:47ZengIEEEIEEE Open Journal of Engineering in Medicine and Biology2644-12762021-01-012657010.1109/OJEMB.2021.30755679416779Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills TrainingHiroki Tanaka0https://orcid.org/0000-0002-0548-6252Hidemi Iwasaka1Yasuhiro Matsuda2Kosuke Okazaki3Satoshi Nakamura4https://orcid.org/0000-0001-6956-3803Nara Institute of Science and Technology, Ikoma-shi, Nara, JapanNara Medical University, Kashihara-shi, Nara, JapanNara Medical University, Kashihara-shi, Nara, JapanNara Medical University, Kashihara-shi, Nara, JapanNara Institute of Science and Technology, Ikoma-shi, Nara, Japan<italic>Goal:</italic> 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. <italic>Methods:</italic> 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. <italic>Results:</italic> 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. <italic>Conclusions:</italic> Our system effectively summarized user feedback in terms of user self-efficacy and third-party ratings.https://ieeexplore.ieee.org/document/9416779/Embodied conversational agentsself-efficacysocial skills trainingsummary feedback |
| spellingShingle | Hiroki Tanaka Hidemi Iwasaka Yasuhiro Matsuda Kosuke Okazaki Satoshi Nakamura Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training IEEE Open Journal of Engineering in Medicine and Biology Embodied conversational agents self-efficacy social skills training summary feedback |
| title | Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training |
| title_full | Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training |
| title_fullStr | Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training |
| title_full_unstemmed | Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training |
| title_short | Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training |
| title_sort | analyzing self efficacy and summary feedback in automated social skills training |
| topic | Embodied conversational agents self-efficacy social skills training summary feedback |
| url | https://ieeexplore.ieee.org/document/9416779/ |
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